diff --git a/MVA_MP3_Thibault_CORDIER.ipynb b/MVA_MP3_Thibault_CORDIER.ipynb
old mode 100755
new mode 100644
index 114fc3e2bcb56f16e1fea012b492eb16cc66670b..6ebe4a14ccdcd8626baf2fb9ad3bc4b9d2fabd89
--- a/MVA_MP3_Thibault_CORDIER.ipynb
+++ b/MVA_MP3_Thibault_CORDIER.ipynb
@@ -9,10 +9,10 @@
       "collapsed_sections": []
     },
     "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    }
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "accelerator": "GPU"
   },
   "cells": [
     {
@@ -29,10 +29,10 @@
       "metadata": {
         "id": "c0tsh8Inht3p",
         "colab_type": "code",
-        "outputId": "2cec9343-7d60-449b-b6d6-4910e4308a4a",
+        "outputId": "9d978f39-3d5c-4bda-eea9-1fe19e9adb1b",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 207
+          "height": 119
         }
       },
       "cell_type": "code",
@@ -45,15 +45,11 @@
           "output_type": "stream",
           "text": [
             "Requirement already satisfied: opencv-python in /usr/local/lib/python3.6/dist-packages (3.4.5.20)\n",
-            "Collecting scikit-video\n",
-            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/b1/a6/c69cad508139a342810ae46e946ebb3256aa6e42f690d901bb68f50582e3/scikit_video-1.1.11-py2.py3-none-any.whl (2.3MB)\n",
-            "\u001b[K    100% |████████████████████████████████| 2.3MB 5.8MB/s \n",
-            "\u001b[?25hRequirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python) (1.14.6)\n",
-            "Requirement already satisfied: pillow in /usr/local/lib/python3.6/dist-packages (from scikit-video) (4.0.0)\n",
+            "Requirement already satisfied: scikit-video in /usr/local/lib/python3.6/dist-packages (1.1.11)\n",
+            "Requirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python) (1.14.6)\n",
             "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from scikit-video) (1.1.0)\n",
-            "Requirement already satisfied: olefile in /usr/local/lib/python3.6/dist-packages (from pillow->scikit-video) (0.46)\n",
-            "Installing collected packages: scikit-video\n",
-            "Successfully installed scikit-video-1.1.11\n"
+            "Requirement already satisfied: pillow in /usr/local/lib/python3.6/dist-packages (from scikit-video) (4.0.0)\n",
+            "Requirement already satisfied: olefile in /usr/local/lib/python3.6/dist-packages (from pillow->scikit-video) (0.46)\n"
           ],
           "name": "stdout"
         }
@@ -63,7 +59,7 @@
       "metadata": {
         "id": "cX4MTwWxgDI1",
         "colab_type": "code",
-        "outputId": "92b62e55-400d-43e3-c4f0-69947ce720f8",
+        "outputId": "e19da623-70c5-40e6-d68e-dedd56eefa16",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
@@ -834,11 +830,11 @@
       "metadata": {
         "id": "JrR9VqpdgDMP",
         "colab_type": "code",
+        "outputId": "6eb00aa7-3bf7-4d6a-f2ba-f07e099aaf68",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 1734
-        },
-        "outputId": "1774ee69-bacb-4346-91a0-f2ae500ddc99"
+        }
       },
       "cell_type": "code",
       "source": [
@@ -855,107 +851,107 @@
         {
           "output_type": "stream",
           "text": [
-            "Step 1: Win/lose count 13.0/8.0. Average score (2.5)\n",
-            "Step 2: Win/lose count 12.5/21.0. Average score (-1.1666666666666667)\n",
-            "Step 3: Win/lose count 8.0/13.0. Average score (-2.125)\n",
-            "Step 4: Win/lose count 10.5/16.0. Average score (-2.8)\n",
-            "Step 5: Win/lose count 8.0/10.0. Average score (-2.6666666666666665)\n",
-            "Step 6: Win/lose count 10.5/8.0. Average score (-1.9285714285714286)\n",
-            "Step 7: Win/lose count 11.0/23.0. Average score (-3.1875)\n",
-            "Step 8: Win/lose count 11.5/15.0. Average score (-3.2222222222222223)\n",
-            "Step 9: Win/lose count 9.0/18.0. Average score (-3.8)\n",
-            "Step 10: Win/lose count 9.0/15.0. Average score (-4.0)\n",
-            "Step 11: Win/lose count 11.0/17.0. Average score (-4.166666666666667)\n",
-            "Step 12: Win/lose count 13.5/10.0. Average score (-3.576923076923077)\n",
-            "Step 13: Win/lose count 15.0/8.0. Average score (-2.8214285714285716)\n",
-            "Step 14: Win/lose count 9.0/12.0. Average score (-2.8333333333333335)\n",
-            "Step 15: Win/lose count 15.5/17.0. Average score (-2.75)\n",
-            "Step 16: Win/lose count 7.5/13.0. Average score (-2.911764705882353)\n",
-            "Step 17: Win/lose count 11.0/18.0. Average score (-3.138888888888889)\n",
-            "Step 18: Win/lose count 12.0/14.0. Average score (-3.0789473684210527)\n",
-            "Step 19: Win/lose count 12.0/21.0. Average score (-3.375)\n",
-            "Step 20: Win/lose count 12.0/17.0. Average score (-3.4523809523809526)\n",
-            "Step 21: Win/lose count 10.0/14.0. Average score (-3.477272727272727)\n",
-            "Step 22: Win/lose count 13.5/13.0. Average score (-3.3043478260869565)\n",
-            "Step 23: Win/lose count 11.5/12.0. Average score (-3.1875)\n",
-            "Step 24: Win/lose count 10.0/13.0. Average score (-3.18)\n",
-            "Step 25: Win/lose count 8.5/11.0. Average score (-3.1538461538461537)\n",
-            "Step 26: Win/lose count 14.0/10.0. Average score (-2.888888888888889)\n",
-            "Step 27: Win/lose count 6.5/8.0. Average score (-2.8392857142857144)\n",
-            "Step 28: Win/lose count 5.0/14.0. Average score (-3.0517241379310347)\n",
-            "Step 29: Win/lose count 8.0/14.0. Average score (-3.15)\n",
-            "Step 30: Win/lose count 8.0/24.0. Average score (-3.564516129032258)\n",
-            "Step 31: Win/lose count 6.5/13.0. Average score (-3.65625)\n",
-            "Step 32: Win/lose count 12.0/16.0. Average score (-3.6666666666666665)\n",
-            "Step 33: Win/lose count 13.0/14.0. Average score (-3.588235294117647)\n",
-            "Step 34: Win/lose count 10.5/13.0. Average score (-3.557142857142857)\n",
-            "Step 35: Win/lose count 15.0/20.0. Average score (-3.5972222222222223)\n",
-            "Step 36: Win/lose count 7.0/16.0. Average score (-3.7432432432432434)\n",
-            "Step 37: Win/lose count 6.5/10.0. Average score (-3.736842105263158)\n",
-            "Step 38: Win/lose count 11.5/9.0. Average score (-3.576923076923077)\n",
-            "Step 39: Win/lose count 7.5/16.0. Average score (-3.7)\n",
-            "Step 40: Win/lose count 11.0/15.0. Average score (-3.707317073170732)\n",
-            "Step 41: Win/lose count 15.0/16.0. Average score (-3.642857142857143)\n",
-            "Step 42: Win/lose count 12.0/16.0. Average score (-3.6511627906976742)\n",
-            "Step 43: Win/lose count 7.0/15.0. Average score (-3.75)\n",
-            "Step 44: Win/lose count 12.5/4.0. Average score (-3.477777777777778)\n",
-            "Step 45: Win/lose count 10.0/13.0. Average score (-3.467391304347826)\n",
-            "Step 46: Win/lose count 9.5/16.0. Average score (-3.5319148936170213)\n",
-            "Step 47: Win/lose count 9.0/7.0. Average score (-3.4166666666666665)\n",
-            "Step 48: Win/lose count 9.5/22.0. Average score (-3.6020408163265305)\n",
-            "Step 49: Win/lose count 14.0/12.0. Average score (-3.49)\n",
-            "Step 50: Win/lose count 10.5/8.0. Average score (-3.372549019607843)\n",
-            "Step 51: Win/lose count 12.0/10.0. Average score (-3.269230769230769)\n",
-            "Step 52: Win/lose count 11.0/11.0. Average score (-3.207547169811321)\n",
-            "Step 53: Win/lose count 10.0/10.0. Average score (-3.1481481481481484)\n",
-            "Step 54: Win/lose count 10.0/17.0. Average score (-3.2181818181818183)\n",
-            "Step 55: Win/lose count 7.5/17.0. Average score (-3.330357142857143)\n",
-            "Step 56: Win/lose count 12.0/20.0. Average score (-3.412280701754386)\n",
-            "Step 57: Win/lose count 10.0/11.0. Average score (-3.3706896551724137)\n",
-            "Step 58: Win/lose count 9.5/12.0. Average score (-3.3559322033898304)\n",
-            "Step 59: Win/lose count 13.5/13.0. Average score (-3.2916666666666665)\n",
-            "Step 60: Win/lose count 9.0/10.0. Average score (-3.2540983606557377)\n",
-            "Step 61: Win/lose count 10.0/14.0. Average score (-3.2661290322580645)\n",
-            "Step 62: Win/lose count 11.0/9.0. Average score (-3.1825396825396823)\n",
-            "Step 63: Win/lose count 11.5/11.0. Average score (-3.125)\n",
-            "Step 64: Win/lose count 11.5/15.0. Average score (-3.1307692307692307)\n",
-            "Step 65: Win/lose count 11.0/13.0. Average score (-3.1136363636363638)\n",
-            "Step 66: Win/lose count 9.5/18.0. Average score (-3.1940298507462686)\n",
-            "Step 67: Win/lose count 7.5/8.0. Average score (-3.1544117647058822)\n",
-            "Step 68: Win/lose count 11.5/10.0. Average score (-3.0869565217391304)\n",
-            "Step 69: Win/lose count 10.0/12.0. Average score (-3.0714285714285716)\n",
-            "Step 70: Win/lose count 12.0/18.0. Average score (-3.112676056338028)\n",
-            "Step 71: Win/lose count 4.0/12.0. Average score (-3.1805555555555554)\n",
-            "Step 72: Win/lose count 7.0/10.0. Average score (-3.1780821917808217)\n",
-            "Step 73: Win/lose count 12.0/20.0. Average score (-3.2432432432432434)\n",
-            "Step 74: Win/lose count 9.0/11.0. Average score (-3.2266666666666666)\n",
-            "Step 75: Win/lose count 7.5/18.0. Average score (-3.3223684210526314)\n",
-            "Step 76: Win/lose count 8.5/13.0. Average score (-3.3376623376623376)\n",
-            "Step 77: Win/lose count 7.0/9.0. Average score (-3.3205128205128207)\n",
-            "Step 78: Win/lose count 9.5/17.0. Average score (-3.3734177215189876)\n",
-            "Step 79: Win/lose count 10.5/9.0. Average score (-3.3125)\n",
-            "Step 80: Win/lose count 7.0/13.0. Average score (-3.345679012345679)\n",
-            "Step 81: Win/lose count 11.0/15.0. Average score (-3.3536585365853657)\n",
-            "Step 82: Win/lose count 9.5/15.0. Average score (-3.3795180722891565)\n",
-            "Step 83: Win/lose count 11.0/16.0. Average score (-3.3988095238095237)\n",
-            "Step 84: Win/lose count 10.0/12.0. Average score (-3.3823529411764706)\n",
-            "Step 85: Win/lose count 10.5/20.0. Average score (-3.453488372093023)\n",
-            "Step 86: Win/lose count 14.5/16.0. Average score (-3.4310344827586206)\n",
-            "Step 87: Win/lose count 15.5/21.0. Average score (-3.4545454545454546)\n",
-            "Step 88: Win/lose count 4.5/11.0. Average score (-3.4887640449438204)\n",
-            "Step 89: Win/lose count 11.5/16.0. Average score (-3.5)\n",
-            "Step 90: Win/lose count 5.5/7.0. Average score (-3.478021978021978)\n",
-            "Step 91: Win/lose count 10.0/23.0. Average score (-3.5815217391304346)\n",
-            "Step 92: Win/lose count 7.0/7.0. Average score (-3.543010752688172)\n",
-            "Step 93: Win/lose count 6.0/13.0. Average score (-3.5797872340425534)\n",
-            "Step 94: Win/lose count 8.0/14.0. Average score (-3.6052631578947367)\n",
-            "Step 95: Win/lose count 8.0/15.0. Average score (-3.640625)\n",
-            "Step 96: Win/lose count 10.5/11.0. Average score (-3.6082474226804124)\n",
-            "Step 97: Win/lose count 8.5/16.0. Average score (-3.6479591836734695)\n",
-            "Step 98: Win/lose count 8.0/12.0. Average score (-3.6515151515151514)\n",
-            "Step 99: Win/lose count 13.0/13.0. Average score (-3.615)\n",
-            "Step 100: Win/lose count 8.5/5.0. Average score (-3.5445544554455446)\n",
-            "Final score: -3.58\n"
+            "Step 1: Win/lose count 8.5/13.0. Average score (-2.25)\n",
+            "Step 2: Win/lose count 8.5/20.0. Average score (-5.333333333333333)\n",
+            "Step 3: Win/lose count 6.0/5.0. Average score (-3.75)\n",
+            "Step 4: Win/lose count 9.5/11.0. Average score (-3.3)\n",
+            "Step 5: Win/lose count 11.0/14.0. Average score (-3.25)\n",
+            "Step 6: Win/lose count 11.0/15.0. Average score (-3.357142857142857)\n",
+            "Step 7: Win/lose count 15.0/14.0. Average score (-2.8125)\n",
+            "Step 8: Win/lose count 12.0/9.0. Average score (-2.1666666666666665)\n",
+            "Step 9: Win/lose count 8.0/15.0. Average score (-2.65)\n",
+            "Step 10: Win/lose count 11.0/14.0. Average score (-2.6818181818181817)\n",
+            "Step 11: Win/lose count 7.5/8.0. Average score (-2.5)\n",
+            "Step 12: Win/lose count 12.0/13.0. Average score (-2.3846153846153846)\n",
+            "Step 13: Win/lose count 10.5/6.0. Average score (-1.8928571428571428)\n",
+            "Step 14: Win/lose count 12.5/19.0. Average score (-2.2)\n",
+            "Step 15: Win/lose count 11.0/14.0. Average score (-2.25)\n",
+            "Step 16: Win/lose count 11.0/11.0. Average score (-2.1176470588235294)\n",
+            "Step 17: Win/lose count 13.5/18.0. Average score (-2.25)\n",
+            "Step 18: Win/lose count 12.0/15.0. Average score (-2.289473684210526)\n",
+            "Step 19: Win/lose count 8.0/6.0. Average score (-2.075)\n",
+            "Step 20: Win/lose count 9.0/13.0. Average score (-2.1666666666666665)\n",
+            "Step 21: Win/lose count 9.5/15.0. Average score (-2.3181818181818183)\n",
+            "Step 22: Win/lose count 8.0/15.0. Average score (-2.5217391304347827)\n",
+            "Step 23: Win/lose count 14.0/13.0. Average score (-2.375)\n",
+            "Step 24: Win/lose count 8.5/12.0. Average score (-2.42)\n",
+            "Step 25: Win/lose count 13.5/12.0. Average score (-2.269230769230769)\n",
+            "Step 26: Win/lose count 7.5/9.0. Average score (-2.240740740740741)\n",
+            "Step 27: Win/lose count 9.5/12.0. Average score (-2.25)\n",
+            "Step 28: Win/lose count 10.5/14.0. Average score (-2.293103448275862)\n",
+            "Step 29: Win/lose count 7.5/16.0. Average score (-2.5)\n",
+            "Step 30: Win/lose count 6.5/15.0. Average score (-2.693548387096774)\n",
+            "Step 31: Win/lose count 15.0/15.0. Average score (-2.609375)\n",
+            "Step 32: Win/lose count 14.0/14.0. Average score (-2.5303030303030303)\n",
+            "Step 33: Win/lose count 12.0/20.0. Average score (-2.6911764705882355)\n",
+            "Step 34: Win/lose count 13.5/20.0. Average score (-2.8)\n",
+            "Step 35: Win/lose count 7.5/23.0. Average score (-3.1527777777777777)\n",
+            "Step 36: Win/lose count 7.5/6.0. Average score (-3.027027027027027)\n",
+            "Step 37: Win/lose count 9.5/19.0. Average score (-3.1973684210526314)\n",
+            "Step 38: Win/lose count 7.5/11.0. Average score (-3.2051282051282053)\n",
+            "Step 39: Win/lose count 11.0/18.0. Average score (-3.3)\n",
+            "Step 40: Win/lose count 11.5/8.0. Average score (-3.1341463414634148)\n",
+            "Step 41: Win/lose count 7.5/13.0. Average score (-3.1904761904761907)\n",
+            "Step 42: Win/lose count 9.5/19.0. Average score (-3.3372093023255816)\n",
+            "Step 43: Win/lose count 12.5/19.0. Average score (-3.409090909090909)\n",
+            "Step 44: Win/lose count 14.0/12.0. Average score (-3.2888888888888888)\n",
+            "Step 45: Win/lose count 10.5/10.0. Average score (-3.2065217391304346)\n",
+            "Step 46: Win/lose count 10.0/10.0. Average score (-3.1382978723404253)\n",
+            "Step 47: Win/lose count 10.5/11.0. Average score (-3.0833333333333335)\n",
+            "Step 48: Win/lose count 14.0/16.0. Average score (-3.061224489795918)\n",
+            "Step 49: Win/lose count 7.0/11.0. Average score (-3.08)\n",
+            "Step 50: Win/lose count 9.5/15.0. Average score (-3.127450980392157)\n",
+            "Step 51: Win/lose count 7.0/12.0. Average score (-3.1634615384615383)\n",
+            "Step 52: Win/lose count 11.0/14.0. Average score (-3.160377358490566)\n",
+            "Step 53: Win/lose count 8.5/17.0. Average score (-3.259259259259259)\n",
+            "Step 54: Win/lose count 10.0/12.0. Average score (-3.2363636363636363)\n",
+            "Step 55: Win/lose count 14.0/12.0. Average score (-3.142857142857143)\n",
+            "Step 56: Win/lose count 11.5/13.0. Average score (-3.1140350877192984)\n",
+            "Step 57: Win/lose count 10.0/8.0. Average score (-3.0258620689655173)\n",
+            "Step 58: Win/lose count 10.5/16.0. Average score (-3.0677966101694913)\n",
+            "Step 59: Win/lose count 9.5/13.0. Average score (-3.075)\n",
+            "Step 60: Win/lose count 12.5/11.0. Average score (-3.0)\n",
+            "Step 61: Win/lose count 8.0/6.0. Average score (-2.9193548387096775)\n",
+            "Step 62: Win/lose count 7.5/16.0. Average score (-3.007936507936508)\n",
+            "Step 63: Win/lose count 9.5/6.0. Average score (-2.90625)\n",
+            "Step 64: Win/lose count 4.5/6.0. Average score (-2.8846153846153846)\n",
+            "Step 65: Win/lose count 10.0/24.0. Average score (-3.053030303030303)\n",
+            "Step 66: Win/lose count 10.5/18.0. Average score (-3.1194029850746268)\n",
+            "Step 67: Win/lose count 11.0/18.0. Average score (-3.176470588235294)\n",
+            "Step 68: Win/lose count 9.5/15.0. Average score (-3.210144927536232)\n",
+            "Step 69: Win/lose count 9.0/13.0. Average score (-3.2214285714285715)\n",
+            "Step 70: Win/lose count 12.5/17.0. Average score (-3.23943661971831)\n",
+            "Step 71: Win/lose count 9.5/17.0. Average score (-3.298611111111111)\n",
+            "Step 72: Win/lose count 13.0/16.0. Average score (-3.2945205479452055)\n",
+            "Step 73: Win/lose count 8.5/19.0. Average score (-3.391891891891892)\n",
+            "Step 74: Win/lose count 13.5/8.0. Average score (-3.2733333333333334)\n",
+            "Step 75: Win/lose count 8.0/18.0. Average score (-3.361842105263158)\n",
+            "Step 76: Win/lose count 8.5/14.0. Average score (-3.3896103896103895)\n",
+            "Step 77: Win/lose count 8.5/15.0. Average score (-3.4294871794871793)\n",
+            "Step 78: Win/lose count 15.5/11.0. Average score (-3.329113924050633)\n",
+            "Step 79: Win/lose count 14.0/20.0. Average score (-3.3625)\n",
+            "Step 80: Win/lose count 10.0/11.0. Average score (-3.3333333333333335)\n",
+            "Step 81: Win/lose count 11.5/17.0. Average score (-3.3597560975609757)\n",
+            "Step 82: Win/lose count 7.5/9.0. Average score (-3.3373493975903616)\n",
+            "Step 83: Win/lose count 13.5/15.0. Average score (-3.3154761904761907)\n",
+            "Step 84: Win/lose count 7.5/9.0. Average score (-3.2941176470588234)\n",
+            "Step 85: Win/lose count 10.5/16.0. Average score (-3.3197674418604652)\n",
+            "Step 86: Win/lose count 6.5/6.0. Average score (-3.2758620689655173)\n",
+            "Step 87: Win/lose count 9.5/10.0. Average score (-3.2443181818181817)\n",
+            "Step 88: Win/lose count 11.5/15.0. Average score (-3.247191011235955)\n",
+            "Step 89: Win/lose count 11.0/13.0. Average score (-3.2333333333333334)\n",
+            "Step 90: Win/lose count 5.0/19.0. Average score (-3.3516483516483517)\n",
+            "Step 91: Win/lose count 7.0/12.0. Average score (-3.369565217391304)\n",
+            "Step 92: Win/lose count 12.0/11.0. Average score (-3.3225806451612905)\n",
+            "Step 93: Win/lose count 10.0/14.0. Average score (-3.3297872340425534)\n",
+            "Step 94: Win/lose count 7.5/16.0. Average score (-3.3842105263157896)\n",
+            "Step 95: Win/lose count 7.5/17.0. Average score (-3.4479166666666665)\n",
+            "Step 96: Win/lose count 10.0/12.0. Average score (-3.4329896907216493)\n",
+            "Step 97: Win/lose count 4.5/5.0. Average score (-3.4030612244897958)\n",
+            "Step 98: Win/lose count 9.5/15.0. Average score (-3.4242424242424243)\n",
+            "Step 99: Win/lose count 12.5/12.0. Average score (-3.385)\n",
+            "Step 100: Win/lose count 4.0/14.0. Average score (-3.4504950495049505)\n",
+            "Final score: -3.485\n"
           ],
           "name": "stdout"
         }
@@ -965,11 +961,11 @@
       "metadata": {
         "id": "rk_f3s-dBBpp",
         "colab_type": "code",
+        "outputId": "e043f3a0-6f37-464b-f43e-ac8022083550",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 349
-        },
-        "outputId": "8dcde2a2-972d-4675-ddf0-4c2f6425d85a"
+        }
       },
       "cell_type": "code",
       "source": [
@@ -980,7 +976,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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HH37Il19+yezZs5k1axa5ubksW7YMd3d35s2bx5NPPsk777xji8sQERGRWkKFJREREZE6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\n/h93E2O5wOtcnAAAAABJRU5ErkJggg==\n",
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l//rX2xgMBtzc3Jg69Y9cuHCBP/3pD3z00QcYjUYeeeT/ERkZTdeu3fh//+9n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\nIiIiIiIiIiLSIv8f/sg0/Q9SqqIAAAAASUVORK5CYII=\n",
             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -995,7 +991,7 @@
       "metadata": {
         "id": "AcvlusnyifLg",
         "colab_type": "code",
-        "outputId": "087a5537-dcdd-402d-85b6-d0755d86e73f",
+        "outputId": "a61f535b-9b6b-4b23-c597-5cf86042f5db",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 293
@@ -1012,7 +1008,7 @@
           "data": {
             "text/html": [
               "<video alt=\"test\" controls>\n",
-              "                <source 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type=\"video/mp4\" />\n",
               "             </video>"
             ],
             "text/plain": [
@@ -1026,6 +1022,16 @@
         }
       ]
     },
+    {
+      "metadata": {
+        "id": "nSsZOuPNGA3m",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Comments**: Without hesitation, we can confirm that the RandomAgent is not good for this task during the test (-3.485 average score)."
+      ]
+    },
     {
       "metadata": {
         "id": "GaQDlNZHgDMo",
@@ -1061,7 +1067,7 @@
         "Finally, deduce that a plausible objective is:\n",
         "\n",
         "\\begin{equation*}\n",
-        "\\mathcal{L}(\\theta)=E_{s' \\sim \\pi^*(.|s,a)}\\Vert r+\\gamma\\max\\max_{a'}Q(s',a',\\theta)-Q(s,a,\\theta)\\Vert^{2}.\n",
+        "\\mathcal{L}(\\theta)=E_{s' \\sim \\pi^*(.|s,a)}\\Vert r+\\gamma\\max_{a'}Q(s',a',\\theta)-Q(s,a,\\theta)\\Vert^{2}.\n",
         "\\end{equation*}\n",
         "\n",
         "\n"
@@ -1111,6 +1117,38 @@
         "&=&r(s,a) + E_{s'\\sim p^{\\pi^*}(.|s,a)}[\\gamma \\max_{a'}Q^\\pi(s',a')] \\>\\\\\n",
         "&=&E_{s'\\sim p^{\\pi^*}(.|s,a)}[r(s,a) + \\gamma \\max_{a'}Q^\\pi(s',a')] \\>\\\\\n",
         "\\end{array}\n",
+        "\\end{equation*}\n",
+        "\n",
+        "More precisely we show that:\n",
+        "\n",
+        "\\begin{equation*}\n",
+        "Q^\\pi(s,a)= r(s,a) + \\gamma E_{s'\\sim p^{\\pi^*}(.|s,a)}[\\max_{a'}Q^\\pi(s',a')]\n",
+        "\\end{equation*}\n",
+        "\n",
+        "So:\n",
+        "\n",
+        "\\begin{equation*}\n",
+        "E_{s'\\sim p^{\\pi^*}(.|s,a)}[ r(s,a) + \\gamma \\max_{a'}Q^\\pi(s',a') - Q^\\pi(s,a)] = 0\n",
+        "\\end{equation*}\n",
+        "\n",
+        "If we parametry our agent with a DL architecture, we want to obtain:\n",
+        "\n",
+        "\\begin{equation*}\n",
+        "E_{s'\\sim p^{\\pi^*}(.|s,a)}[ r(s,a) + \\gamma \\max_{a'}Q^\\pi(s',a',\\theta) - Q^\\pi(s,a,\\theta)] = 0\n",
+        "\\end{equation*}\n",
+        "\n",
+        "But this function is not an objective funciton because it is not convexe. But we can notice that $E[X^2]=0\\Rightarrow E[X]=0$\n",
+        "\n",
+        "So:\n",
+        "\n",
+        "\\begin{equation*}\n",
+        "E_{s' \\sim \\pi^*(.|s,a)}\\Vert r+\\gamma\\max_{a'}Q(s',a',\\theta)-Q(s,a,\\theta)\\Vert^{2} = 0 \\Rightarrow E_{s'\\sim p^{\\pi^*}(.|s,a)}[ r(s,a) + \\gamma \\max_{a'}Q^\\pi(s',a') - Q^\\pi(s,a)] = 0\n",
+        "\\end{equation*}\n",
+        "\n",
+        "Then we obtain a plausible objective (which is a convexe function):\n",
+        "\n",
+        "\\begin{equation*}\n",
+        "\\mathcal{L}(\\theta)=E_{s' \\sim \\pi^*(.|s,a)}\\Vert r+\\gamma\\max_{a'}Q(s',a',\\theta)-Q(s,a,\\theta)\\Vert^{2}.\n",
         "\\end{equation*}"
       ]
     },
@@ -1185,7 +1223,7 @@
       },
       "cell_type": "code",
       "source": [
-        "def train(agent,env,epoch,prefix=''):\n",
+        "def train(agent,env,epoch,prefix='',verbose=False):\n",
         "    # Number of won games\n",
         "    score = 0\n",
         "    loss = 0\n",
@@ -1228,8 +1266,9 @@
         "        history['win'].append(history['win'][-1]+win)\n",
         "        history['lose'].append(history['lose'][-1]+lose)\n",
         "\n",
-        "        print(\"Epoch {:03d}/{:03d} | Loss {:.4f} | Win/lose count {}/{} ({})\"\n",
-        "              .format(e, epoch, loss, win, lose, win-lose))\n",
+        "        if verbose :\n",
+        "            print(\"Epoch {:03d}/{:03d} | Loss {:.4f} | Win/lose count {}/{} ({})\"\n",
+        "                  .format(e, epoch, loss, win, lose, win-lose))\n",
         "        agent.save(name_weights=prefix+'model.h5',name_model=prefix+'model.json')\n",
         "        \n",
         "    return history"
@@ -1355,127 +1394,106 @@
       "execution_count": 0,
       "outputs": []
     },
+    {
+      "metadata": {
+        "id": "1W6X5-84KyKc",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "We use different learning rate, batch size or memory size parameters.\n",
+        "\n",
+        "Our references parameters are:\n",
+        "- memory_size = 2000\n",
+        "- lr = .01\n",
+        "- batch_size = 32\n",
+        "\n",
+        "And we test each parameters with a set of values:\n",
+        "- memory_size_list = [20, 200, 2000]\n",
+        "- lr_list = [.01, .001, .0001]\n",
+        "- batch_size_list = [8, 16, 32]"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "IB4Fu5FgEQdm",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Experiments**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "66oRtEWWGAzE",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "memory_size = 2000\n",
+        "lr = .01\n",
+        "batch_size = 32\n",
+        "\n",
+        "memory_size_list = [20, 200, 2000]\n",
+        "lr_list = [.01, .001, .0001]\n",
+        "batch_size_list = [8, 16, 32]\n",
+        "\n",
+        "agent_FC_train_list = list()\n",
+        "history_FC_train_list = list()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
     {
       "metadata": {
         "id": "y5dw6hqlgDN4",
         "colab_type": "code",
-        "outputId": "ce4287f6-4020-4d8e-9404-11a70d2dc59d",
+        "outputId": "838be0b9-c47a-41a5-ba43-51b492a143b3",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 1717
+          "height": 275
         }
       },
       "cell_type": "code",
       "source": [
-        "env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
-        "agent = DQN_FC(size, lr=.01, epsilon = 0.1, memory_size=2000, batch_size = 32)\n",
-        "history = train(agent, env, epochs_train, prefix='fc_train')"
+        "print('=======================')\n",
+        "print('Train on memory_size...')\n",
+        "l = lr\n",
+        "b = batch_size\n",
+        "\n",
+        "for i,m in enumerate(memory_size_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
+        "\n",
+        "    agent_name = 'fc_train_' + 'ms_' + str(i) + '_'\n",
+        "\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_FC(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
+        "\n",
+        "    agent_FC_train_list.append(agent_name)\n",
+        "    history_FC_train_list.append(history)"
       ],
-      "execution_count": 17,
+      "execution_count": 19,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Epoch 001/100 | Loss 0.0667 | Win/lose count 5.0/4.0 (1.0)\n",
-            "Epoch 002/100 | Loss 0.0804 | Win/lose count 5.0/5.0 (0.0)\n",
-            "Epoch 003/100 | Loss 0.0521 | Win/lose count 2.5/7.0 (-4.5)\n",
-            "Epoch 004/100 | Loss 0.0747 | Win/lose count 5.5/9.0 (-3.5)\n",
-            "Epoch 005/100 | Loss 0.0765 | Win/lose count 6.5/5.0 (1.5)\n",
-            "Epoch 006/100 | Loss 0.0581 | Win/lose count 2.0/1.0 (1.0)\n",
-            "Epoch 007/100 | Loss 0.0669 | Win/lose count 4.5/11.0 (-6.5)\n",
-            "Epoch 008/100 | Loss 0.0554 | Win/lose count 5.0/9.0 (-4.0)\n",
-            "Epoch 009/100 | Loss 0.0364 | Win/lose count 5.0/3.0 (2.0)\n",
-            "Epoch 010/100 | Loss 0.0514 | Win/lose count 2.5/2.0 (0.5)\n",
-            "Epoch 011/100 | Loss 0.0523 | Win/lose count 3.0/2.0 (1.0)\n",
-            "Epoch 012/100 | Loss 0.0336 | Win/lose count 11.0/5.0 (6.0)\n",
-            "Epoch 013/100 | Loss 0.0224 | Win/lose count 6.0/3.0 (3.0)\n",
-            "Epoch 014/100 | Loss 0.0249 | Win/lose count 7.5/4.0 (3.5)\n",
-            "Epoch 015/100 | Loss 0.0337 | Win/lose count 3.5/2.0 (1.5)\n",
-            "Epoch 016/100 | Loss 0.0428 | Win/lose count 8.5/6.0 (2.5)\n",
-            "Epoch 017/100 | Loss 0.0504 | Win/lose count 2.0/2.0 (0.0)\n",
-            "Epoch 018/100 | Loss 0.0297 | Win/lose count 2.0/2.0 (0.0)\n",
-            "Epoch 019/100 | Loss 0.0224 | Win/lose count 5.5/2.0 (3.5)\n",
-            "Epoch 020/100 | Loss 0.0287 | Win/lose count 6.0/6.0 (0.0)\n",
-            "Epoch 021/100 | Loss 0.0261 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 022/100 | Loss 0.0267 | Win/lose count 6.5/2.0 (4.5)\n",
-            "Epoch 023/100 | Loss 0.0333 | Win/lose count 4.5/3.0 (1.5)\n",
-            "Epoch 024/100 | Loss 0.0279 | Win/lose count 3.0/3.0 (0.0)\n",
-            "Epoch 025/100 | Loss 0.0251 | Win/lose count 6.0/6.0 (0.0)\n",
-            "Epoch 026/100 | Loss 0.0350 | Win/lose count 7.0/4.0 (3.0)\n",
-            "Epoch 027/100 | Loss 0.0252 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 028/100 | Loss 0.0322 | Win/lose count 3.5/4.0 (-0.5)\n",
-            "Epoch 029/100 | Loss 0.0220 | Win/lose count 1.5/1.0 (0.5)\n",
-            "Epoch 030/100 | Loss 0.0188 | Win/lose count 2.0/2.0 (0.0)\n",
-            "Epoch 031/100 | Loss 0.0288 | Win/lose count 6.0/5.0 (1.0)\n",
-            "Epoch 032/100 | Loss 0.0278 | Win/lose count 4.0/0 (4.0)\n",
-            "Epoch 033/100 | Loss 0.0168 | Win/lose count 9.5/2.0 (7.5)\n",
-            "Epoch 034/100 | Loss 0.0151 | Win/lose count 2.5/1.0 (1.5)\n",
-            "Epoch 035/100 | Loss 0.0121 | Win/lose count 3.5/2.0 (1.5)\n",
-            "Epoch 036/100 | Loss 0.0234 | Win/lose count 5.5/4.0 (1.5)\n",
-            "Epoch 037/100 | Loss 0.0180 | Win/lose count 3.0/1.0 (2.0)\n",
-            "Epoch 038/100 | Loss 0.0209 | Win/lose count 2.5/2.0 (0.5)\n",
-            "Epoch 039/100 | Loss 0.0107 | Win/lose count 6.5/5.0 (1.5)\n",
-            "Epoch 040/100 | Loss 0.0175 | Win/lose count 5.0/0 (5.0)\n",
-            "Epoch 041/100 | Loss 0.0138 | Win/lose count 2.5/1.0 (1.5)\n",
-            "Epoch 042/100 | Loss 0.0095 | Win/lose count 8.0/6.0 (2.0)\n",
-            "Epoch 043/100 | Loss 0.0131 | Win/lose count 5.5/2.0 (3.5)\n",
-            "Epoch 044/100 | Loss 0.0108 | Win/lose count 5.0/5.0 (0.0)\n",
-            "Epoch 045/100 | Loss 0.0138 | Win/lose count 7.5/3.0 (4.5)\n",
-            "Epoch 046/100 | Loss 0.0099 | Win/lose count 4.5/5.0 (-0.5)\n",
-            "Epoch 047/100 | Loss 0.0155 | Win/lose count 9.5/1.0 (8.5)\n",
-            "Epoch 048/100 | Loss 0.0186 | Win/lose count 8.5/6.0 (2.5)\n",
-            "Epoch 049/100 | Loss 0.0209 | Win/lose count 6.0/0 (6.0)\n",
-            "Epoch 050/100 | Loss 0.0110 | Win/lose count 0.5/1.0 (-0.5)\n",
-            "Epoch 051/100 | Loss 0.0161 | Win/lose count 7.5/4.0 (3.5)\n",
-            "Epoch 052/100 | Loss 0.0172 | Win/lose count 9.0/2.0 (7.0)\n",
-            "Epoch 053/100 | Loss 0.0136 | Win/lose count 7.0/4.0 (3.0)\n",
-            "Epoch 054/100 | Loss 0.0130 | Win/lose count 6.5/4.0 (2.5)\n",
-            "Epoch 055/100 | Loss 0.0102 | Win/lose count 7.5/3.0 (4.5)\n",
-            "Epoch 056/100 | Loss 0.0127 | Win/lose count 4.0/3.0 (1.0)\n",
-            "Epoch 057/100 | Loss 0.0149 | Win/lose count 8.0/5.0 (3.0)\n",
-            "Epoch 058/100 | Loss 0.0076 | Win/lose count 7.5/4.0 (3.5)\n",
-            "Epoch 059/100 | Loss 0.0132 | Win/lose count 2.5/1.0 (1.5)\n",
-            "Epoch 060/100 | Loss 0.0181 | Win/lose count 9.0/2.0 (7.0)\n",
-            "Epoch 061/100 | Loss 0.0129 | Win/lose count 5.5/2.0 (3.5)\n",
-            "Epoch 062/100 | Loss 0.0113 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 063/100 | Loss 0.0108 | Win/lose count 4.0/2.0 (2.0)\n",
-            "Epoch 064/100 | Loss 0.0127 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 065/100 | Loss 0.0155 | Win/lose count 2.0/4.0 (-2.0)\n",
-            "Epoch 066/100 | Loss 0.0092 | Win/lose count 6.5/5.0 (1.5)\n",
-            "Epoch 067/100 | Loss 0.0073 | Win/lose count 7.0/1.0 (6.0)\n",
-            "Epoch 068/100 | Loss 0.0107 | Win/lose count 7.0/7.0 (0.0)\n",
-            "Epoch 069/100 | Loss 0.0078 | Win/lose count 2.5/1.0 (1.5)\n",
-            "Epoch 070/100 | Loss 0.0188 | Win/lose count 10.5/2.0 (8.5)\n",
-            "Epoch 071/100 | Loss 0.0100 | Win/lose count 6.5/3.0 (3.5)\n",
-            "Epoch 072/100 | Loss 0.0082 | Win/lose count 4.0/2.0 (2.0)\n",
-            "Epoch 073/100 | Loss 0.0181 | Win/lose count 6.0/2.0 (4.0)\n",
-            "Epoch 074/100 | Loss 0.0121 | Win/lose count 6.0/3.0 (3.0)\n",
-            "Epoch 075/100 | Loss 0.0112 | Win/lose count 3.0/0 (3.0)\n",
-            "Epoch 076/100 | Loss 0.0095 | Win/lose count 4.5/2.0 (2.5)\n",
-            "Epoch 077/100 | Loss 0.0237 | Win/lose count 2.0/0 (2.0)\n",
-            "Epoch 078/100 | Loss 0.0084 | Win/lose count 8.5/2.0 (6.5)\n",
-            "Epoch 079/100 | Loss 0.0140 | Win/lose count 5.5/3.0 (2.5)\n",
-            "Epoch 080/100 | Loss 0.0038 | Win/lose count 4.0/1.0 (3.0)\n",
-            "Epoch 081/100 | Loss 0.0070 | Win/lose count 5.5/3.0 (2.5)\n",
-            "Epoch 082/100 | Loss 0.0086 | Win/lose count 4.0/1.0 (3.0)\n",
-            "Epoch 083/100 | Loss 0.0140 | Win/lose count 3.0/5.0 (-2.0)\n",
-            "Epoch 084/100 | Loss 0.0099 | Win/lose count 7.0/2.0 (5.0)\n",
-            "Epoch 085/100 | Loss 0.0055 | Win/lose count 6.0/2.0 (4.0)\n",
-            "Epoch 086/100 | Loss 0.0144 | Win/lose count 1.5/3.0 (-1.5)\n",
-            "Epoch 087/100 | Loss 0.0068 | Win/lose count 5.5/1.0 (4.5)\n",
-            "Epoch 088/100 | Loss 0.0152 | Win/lose count 3.0/3.0 (0.0)\n",
-            "Epoch 089/100 | Loss 0.0085 | Win/lose count 4.0/0 (4.0)\n",
-            "Epoch 090/100 | Loss 0.0118 | Win/lose count 4.0/5.0 (-1.0)\n",
-            "Epoch 091/100 | Loss 0.0100 | Win/lose count 4.5/1.0 (3.5)\n",
-            "Epoch 092/100 | Loss 0.0195 | Win/lose count 1.5/1.0 (0.5)\n",
-            "Epoch 093/100 | Loss 0.0064 | Win/lose count 13.0/3.0 (10.0)\n",
-            "Epoch 094/100 | Loss 0.0105 | Win/lose count 4.0/5.0 (-1.0)\n",
-            "Epoch 095/100 | Loss 0.0110 | Win/lose count 4.0/0 (4.0)\n",
-            "Epoch 096/100 | Loss 0.0087 | Win/lose count 6.0/3.0 (3.0)\n",
-            "Epoch 097/100 | Loss 0.0091 | Win/lose count 3.0/6.0 (-3.0)\n",
-            "Epoch 098/100 | Loss 0.0063 | Win/lose count 7.0/3.0 (4.0)\n",
-            "Epoch 099/100 | Loss 0.0091 | Win/lose count 6.0/1.0 (5.0)\n",
-            "Epoch 100/100 | Loss 0.0139 | Win/lose count 3.5/2.0 (1.5)\n"
+            "=======================\n",
+            "Train on memory_size...\n",
+            "New Game: memory_size=20 lr=0.01 batch_size=32\n",
+            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
+            "Instructions for updating:\n",
+            "Colocations handled automatically by placer.\n",
+            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
+            "Instructions for updating:\n",
+            "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
+            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
+            "Instructions for updating:\n",
+            "Use tf.cast instead.\n",
+            "New Game: memory_size=200 lr=0.01 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n"
           ],
           "name": "stdout"
         }
@@ -1483,24 +1501,36 @@
     },
     {
       "metadata": {
-        "id": "UqIK_wR9EvvD",
+        "id": "eYZhsLOKRmA6",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 349
+          "height": 1064
         },
-        "outputId": "adb5a2f7-c7ce-405d-91dc-cf39bf1cdd24"
+        "outputId": "2345b206-79ca-4508-c34a-95319e93071d"
       },
       "cell_type": "code",
       "source": [
-        "visualization_score(history)"
+        "print(agent_FC_train_list[-3],memory_size_list[-3])\n",
+        "visualization_score(history_FC_train_list[-3])\n",
+        "print(agent_FC_train_list[-2],memory_size_list[-2])\n",
+        "visualization_score(history_FC_train_list[-2])\n",
+        "print(agent_FC_train_list[-1],memory_size_list[-1])\n",
+        "visualization_score(history_FC_train_list[-1])"
       ],
-      "execution_count": 18,
+      "execution_count": 20,
       "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_ms_0_ 20\n"
+          ],
+          "name": "stdout"
+        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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Sot1222Sysk42fH3rrRPZuPHrhq8fe+whkpMHU11d5Yh4IiIiLYbV0QFaiuzsUyxZ8in/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\nSTHaFU1EZDRQgCQSAUfre9hzzMWkHAffWjtTzbBFRERkVAuHDT441sF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ERNqRnIJqFq7cS3FFA5HB3tw0uTdWm52cgmpyC2o4dLyGiCAvxiZp7aP26Pnn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             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -1508,204 +1538,86 @@
           "metadata": {
             "tags": []
           }
-        }
-      ]
-    },
-    {
-      "metadata": {
-        "id": "SOcW1b29kG0p",
-        "colab_type": "code",
-        "outputId": "c31337ea-2a54-4ec7-8c8e-2078fb2141a6",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 293
-        }
-      },
-      "cell_type": "code",
-      "source": [
-        "HTML(display_videos('fc_train100.mp4'))"
-      ],
-      "execution_count": 50,
-      "outputs": [
+        },
         {
-          "output_type": "execute_result",
+          "output_type": "stream",
+          "text": [
+            "fc_train_ms_1_ 200\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
           "data": {
-            "text/html": [
-              "<video alt=\"test\" controls>\n",
-              "                <source 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-              "             </video>"
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l8PXeXMqq6jEBV8VEMG5IJ4Jbebo6YpOnApKIiIiL2R0OPt+VzfIvjlJaWYe/\ntxt3jO6Jn7cmbZSf76mnnuJ///d/WbZsGQDV1dW4u5/6XQoODiY/P5+CggKCgoIaPhMUFER+fv55\nzx0Y6I3Vammc4JxaiU2cR+3tXGpv51ObO1dTbu9t+3J5Y2UaJ3IrAPDzdmf0VVEkD+xIx9b+Lk53\ncVzR3iogiYiIOElNnY1Pthyntt7esM0wIO1oIdmFVbi7mbnhqo4kDWiPl4e+ouXnW7ZsGfHx8bRr\n1+6s+w3D+Fnbf6y4uOqis51PaKgf+fnljXZ+OZ3a27nU3s6nNneuptze3+zP49UV6ZhM0K97KANj\nIojtFIzVcmqOyaaa+1was73PVZhS71RERMRJVnx5jFVbj5+x3WwyMTQ+khsGRxHg6+GCZHK52Lhx\nIydOnGDjxo3k5OTg7u6Ot7c3NTU1eHp6kpubS1hYGGFhYRQUFDR8Li8vj/j4eBcmFxERufQ2p+Xw\nfx/txcPNwh8m9aZbO83190uogCQiIuIEBaXVrNuWSbC/BzPHx2I2mRr2+fu4E+inwpH8cs8991zD\n6xdeeIE2bdqwY8cOVq9ezdixY1mzZg1Dhgyhd+/ezJkzh7KyMiwWC6mpqcyePduFyUVERC6tTbtO\nsuCT/Xh5WPnTTfF0imyej6o1JSogiYiIOMGSTUew2R1MuLozUc30WXtpnu6++24eeOABFi9eTGRk\nJOPGjcPNzY17772X6dOnYzKZmDVrVsOE2iIiIs3d+tRM3l5zEF8vN+69KZ4OEfqOuxRUQBIREWlk\nx3LK2JKeS4dwP66IDnd1HGkh7r777obX8+fPP2N/cnIyycnJzowkIiLSqGrr7Sz+9BAbd57E38ed\n+26Op22or6tjXTZUQBIREWlEhmHwn/UZAEwe1vm0R9dERERE5NLIzKvg5RXpnCyopG2oL7PGxxAe\n5O3qWJcVFZBEREQa0e7Dhew/XkJsp2B6dgw6/wdERERE5IIZhsH61CwWr8/AZncwvG9bJg/rjJvV\n4upolx0VkERERBqJ3eHg/Y2HMZlg0rDOro4jIiIictmorrWxbX8en+/JJiOzFF8vN+4YFUN81xBX\nR7tsqYAkIiLSSL7ck8PJgkqGxLXW8/ciIiIiv5DN7iD9aBGb03PYcaiAepsDgLjOwUxL7qFVbRuZ\nCkgiIiKNoLyqjiWbjuDuZmbckE6ujiMiIiLSLBmGwbGccjan5bB1Xy7lVfUARAR5MzAmgoG9wgkJ\n8HJxypahUQtIBw8eZObMmdx+++1MnTqV7OxsHnroIWw2G1arlaeffprQ0FBWrFjBggULMJvNTJ48\nmUmTJjVmLBERkUZlGAYLVx/JzzIxAAAgAElEQVSgrLKOScM6626YiIiIyM9Ub7Pz6fYsPt99kuzC\nKgB8vdwYntCWQbERdIzww6TFSZyq0QpIVVVVPPbYYwwcOLBh23PPPcfkyZMZNWoU77zzDvPnz+eu\nu+5i3rx5pKSk4ObmxsSJExkxYgQBAQGNFU1ERKRRbdmby7YD+XRt24qk/u1dHUdERESkWUk7Usjb\naw+SV1yN1WKmf48wBsZEEBMVhNVidnW8FqvRCkju7u689tprvPbaaw3b/vrXv+LhceoubGBgIOnp\n6ezatYvY2Fj8/PwASEhIIDU1lcTExMaKJiIi0miKymp4e81BPNwsTB/TC7NZd8ZERERELkRRWQ3v\nrjvE9oP5mE0mRvRrxw2DO+Lj6ebqaEIjFpCsVitW6+mn9/b2BsBut7No0SJmzZpFQUEBQUH/XdY4\nKCiI/Pz8xoolIiLSaByGwRsf76O61sa05O6E6Xl8ERERkfMyDIP1qVm8vzGDunoHXdq2YuqIbrQP\n93N1NPkBp0+ibbfbuf/++7nyyisZOHAgK1euPG2/YRjnPUdgoDdWq6WxIhIaql9SZ1J7O5/a3LnU\n3s7lyvb+6Isj7D1WTL+e4dx4bfcW8Vy+fr9FRETkl6itt/PWqv1sTs/F18uNqSO6Myg2AnML6Ec1\nN04vID300EN06NCBu+66C4CwsDAKCgoa9ufl5REfH3/OcxQXVzVavtBQP/Lzyxvt/HI6tbfzqc2d\nS+3tXK5s7+zCSt5YmY6vlxu3DO9CQUGFS3I4U2O2twpTIiIil7+8kmrmLdnDibwKOkX6M3NcDEH+\nnq6OJT/BqbNPrVixAjc3N37/+983bOvduzd79uyhrKyMyspKUlNT6devnzNjiYiI/CKllXU8//5u\n6mwObk3qTitfrbomIiIici67Dxfwt/nfcCKvgqHxkTwwJUHFoyau0UYgpaWl8dRTT5GVlYXVamX1\n6tUUFhbi4eHBrbfeCkDnzp155JFHuPfee5k+fTomk4lZs2Y1TKgtIiLSFHy6PZOj2WVMGtr5jOJQ\nVY2NZxfvJK+kmjGDOtC/R5iLUoqIiIg0fbV1dj747DCfbs/EYjHz61E9GBIX6epYcgEarYAUExPD\nwoULL+jY5ORkkpOTGyuKiIjIRcstquK9Tw9hdxjsOVLI9NG9iOscDEBdvZ1/fbCb49/dORs/pJOL\n04qIiIg0XQeOFzP/4/3klVQTEeTNjBt60THC39Wx5AI5fQ4kERGR5iTls8PYHQZXRoezbX8ez72/\ni5H92zH+6k68sjydgydK6Nc9lKkjW8ak2SIiIiI/V22dnZTvRh2ZTHDdFe0ZOzgKd7fGWxxLLj0V\nkERERH5CRmYp2w/k0znSn9+M6UXygPa8vDydNd+c4Ms92VTW2OjZIZDfXB+N2azikYiIiMiPHc0u\n45UV6eQVV9M62Js7RvWkc5tWro4lF0EFJBERkbMwDIPFGw4BMDmxCyaTifbhfvz19v4sWneQz3dn\n0zHCj7smxOJmdeqaFCIiIiJNnsMwWPP1CT74bjR38oD2jL86CjerRh01VyogiYiInMX2A/kczioj\noVsoXdsGNGz3cLfw61E9Gd63LeGB3ni4qxMkIiIi8kOlFbX830f7SD9aRCsfd+4c04voqCBXx5Jf\nSAUkERGRH7HZHaR8dhiL2cTEoZ3Pekz7cK0YKiIiIvJDDsPg6725vPfpIcqq6onrHMwdo3ri7+Pu\n6mhyCaiAJCIi8iMbd2SRV1xNYkIbIoK8XR1HREREpMnbe6yI9zcc5tvccqwWEzcP78qIfm21yMhl\nRAUkERGRH6iqsbHiy2N4ulu4YXCUq+OIiIiINGnHc8t5cWkaqQfyALgyOpwJQzoREuDl4mRyqamA\nJCIi8gPLvzhKRXU9E67uhL+3hluLiIiInE1haQ1LPz/C5rQcDKBXx0AmDe1Chwg95n+5UgFJRETk\nO8dzy1m3/QRhgV4kDWjn6jgiIiIiTU5lTT0fffUt67ZnYrM7aBfmy51jY2kXrBFHlzsVkERERDg1\n6ePC1QcwDJg6spuWmBURERH5jsNhkJFVys6MAj7fdZLKGhvB/h6Mv7oTV0ZHEB7mT35+uatjSiNT\nAUlERAT4fNdJDp8so1+PMGKigl0dR0RERMSlHIbBzkMFpB7MZ/fhQiqq6wHw9rAyeVgXhvdtoxtu\nLYwKSCIi0uKVVdWRsvEwHu4WfjW8q6vjiIiIiLiUYRi8s+YgG3ZkARDg68418ZHEdwmhZ4dA3N1U\nOGqJVEASEZEWL2XDYSprbNw8vCuBfh6ujiMiIiLiMoZh8O6nh9iwI4t2Yb7cfl0POkT4YTaZXB1N\nXEwFJBERadEOnijhiz3ZtAvzZXjfNq6OIyIiIuIyhmGQsvEw67Zl0ibEh/tujsdPq9LKd8yuDiAi\nIuIqtfV2Fq4+AMCtSd2xmPW1KCIiIi3Xss+P8snW40QEeXPfr/qoeCSn0QgkERFpkYzvVl3LKqhk\nWEIburRp5epIIiIiIi5hdzhY/sUxPvzqGGEBXvz5V31o5aPikZxOBSQREWmRNuzI4qu0HKJa+3Fz\noibOFhERkZbp4IkS3l5zgMz8SoL9Pfnzr/poTkg5KxWQRESkxcnILOXddYfw83Zj1vhY3Kx6dE1E\nRERaltLKOlI2ZPBlWg4AQ+JaM3FoZz22Jj9JBSQREWlRSitqmbdsDw7D4Hc3RBPk7+nqSCIiIiJO\nYbM7OHSihB0ZBXy5J4fqWhvtw325dWR3OutxfjkPFZBERKTFsNkdvLQsjdKKOiYN60zPjkGujiQi\nIiLSqAzDIPVgAd/sz2XPkSKqa20A+HhauWVEN4b1aYPZbHJxSmkOVEASEZEWY8WXxziYWUq/7qEk\nD2jv6jgiIiIijcphGLy77hCfbs8EINjfk0HREcR3DaF7+wCsFj3GLxdOBSQREWkRispqWP31cQL9\nPPj1qJ6YTLrTJiIiIpevepuD//twL9/sz6NtqA93julFuzBf9YHkoqmAJCIiLcKSTUeotzmYcHUn\nvDz09SciIiKXr+paGy8u2cO+b4vp1rYVv58Yh7enm6tjSTOnHrSIiFz2jueWszkth3ZhvgyMjnB1\nHBEREZFGU1RWwwsf7OHb3HL6dA3htzdE4+5mcXUsuQyogCQiIpc1wzD4z4YMDGDysC6aJFJEREQu\nK8XltRw4UczBE6UcPFHCyYJKAK7uHcmtSd2wmDXPkVwajVpAOnjwIDNnzuT2229n6tSpZGdnc//9\n92O32wkNDeXpp5/G3d2dFStWsGDBAsxmM5MnT2bSpEmNGUtERC5DNruDunr7GdvTjhax91gxMVFB\nREdp1TURERG5PNgdDpZuOsonW77F+G6bh5uF6I6BJHQPY2h8pOY7kkuq0QpIVVVVPPbYYwwcOLBh\n27/+9S+mTJnCddddx9y5c0lJSWHcuHHMmzePlJQU3NzcmDhxIiNGjCAgIKCxoomIyGWk3uZgw44s\nPvzqGDa7g5H925E0oD1eHlYcjlOjj0zApGFdXB1VRERE5JIor6rj5eXp7Pu2mLBAL4bGt6FbuwDa\nh/tqZTVpNI1WQHJ3d+e1117jtddea9i2detWHn30UQCGDRvGG2+8QVRUFLGxsfj5+QGQkJBAamoq\niYmJjRVNREQuAw7D4Ou9uSzZdISC0hq8PCx4ultZ8eUxNu7IYuzgKExmE1n5lVwVG0G7MF9XRxYR\nERH5xY5ml/HvpXsoLKslvksId47phbenZqeRxtdov2VWqxWr9fTTV1dX4+7uDkBwcDD5+fkUFBQQ\nFPTfRwqCgoLIz88/57kDA72xWhtvErDQUL9GO7ecSe3tfGpz51J7X3q7Dubz5kfpZGSWYrWYuOHq\nTkwe3g13NwvLNmawZGMGC9ccBMDdzcKd4+IICfBycerLk36/RUREnKO61sYXe7J5f8Nh7HYH46/u\nxOiBHTDrMTVxEpeVKQ3D+Fnbf6i4uOpSx2kQGupHfn55o51fTqf2dj61uXOpvS+tE3kVvL8xg7Qj\nRQBc2Suc8Vd3IjTAi7rqOlr5+nFtQhv6dw9lxZdH+WzHScYM7IBRb9P/h0bQmL/fKkyJiIicmudo\n77FiNqflkHownzqbAx9PKzNujCW2U7Cr40kL49QCkre3NzU1NXh6epKbm0tYWBhhYWEUFBQ0HJOX\nl0d8fLwzY4mISBNXVFbD0k1H+CotBwPo2SGQScM60zHC/6zHt/Jx59aR3fnV8K6aB0BERESancLS\nGjbsyOKLPdmUVdYBEBbgxcCYCK7uHUmgn4eLE0pL5NQC0qBBg1i9ejVjx45lzZo1DBkyhN69ezNn\nzhzKysqwWCykpqYye/ZsZ8YSEZEmrLrWxqNvfkN5VT1tQ32ZNKwzMVFBF7SqiIpHIiIi0lwYhsH+\nb4v5NDWLHYfyMQzw8bQyLKENA6Mj6Bzpr1XVxKUarYCUlpbGU089RVZWFlarldWrV/PMM8/w4IMP\nsnjxYiIjIxk3bhxubm7ce++9TJ8+HZPJxKxZsxom1BYREdl+IJ/yqnqu7duWm4d3xWxWx0nkp1RX\nV/Pggw9SWFhIbW0tM2fOpEePHtx///3Y7XZCQ0N5+umncXd3Z8WKFSxYsACz2czkyZOZNGmSq+OL\niLRYeSXVvPjBHjLzKwDoEO7H8L5tuaJXGG6NOP+vyM/RaAWkmJgYFi5ceMb2+fPnn7EtOTmZ5OTk\nxooiIiLN2Fdp2QCM7N9OxSOR89iwYQMxMTH85je/ISsrizvuuIOEhASmTJnCddddx9y5c0lJSWHc\nuHHMmzePlJQU3NzcmDhxIiNGjCAgIMDVP4KISItTUFrN04tSKSyrZUDPMK7t106jjaRJ0lp/IiLS\nZBWUVrP/eAnd2wVoFTWRCzBq1KiG19nZ2YSHh7N161YeffRRAIYNG8Ybb7xBVFQUsbGxDaO+ExIS\nSE1NJTEx0SW5RURaqqKyGp5+dweFZbWMv7oT1w/q6OpIIj9JBSQREWmytqTnAjAwJsLFSUSal5tv\nvpmcnBxefvllfv3rX+Pu7g5AcHAw+fn5FBQUEBQU1HB8UFAQ+fn5roorItIilVTU8vR7O8kvqeH6\nQR1VPJIz2B12jpdnUVhTRFFNMUU1JRTXFBPfticDgwc6PY8KSCIi0iQZhsFXaTm4Wc306x7m6jgi\nzcp7773Hvn37+POf/4xhGA3bf/j6h35q+48FBnpjbcS5OEJDNQ+mM6m9nUvt7XxNuc1LK2p5dv43\n5BZVceOwLkwb3avZP7LWlNu7OTEMg8NF37Lp2618dXwbZbUVZxzj6+3NDT1GOj2bCkgiItIkHc0u\nJ6eoigE9w/D21NeVyIVIS0sjODiY1q1b07NnT+x2Oz4+PtTU1ODp6Ulubi5hYWGEhYVRUFDQ8Lm8\nvDzi4+PPe/7i4qpGyx4a6kd+fnmjnV9Op/Z2LrW38zXVNi8ur+WznVls3HmSsso6ru3XllED2lFQ\ncGaRoDlpqu3dnNTZ6/ks80s2Z39DbtWpUcG+bj4MbnMlrX3CCfYMJMgzkCDPANq3Dmu09j5XIVA9\nchERaZK+nzx7UExrFycRaT62bdtGVlYWf/nLXygoKKCqqoohQ4awevVqxo4dy5o1axgyZAi9e/dm\nzpw5lJWVYbFYSE1NZfbs2a6OLyJyWTIMg0OZpXy6PZPUg/nYHQbeHlbGDYni+kEdm/3II/nl0gr2\n8Z+DyymsKcLNbCUhLI4BEQn0CuqOxdx0VuFTAUlERJocm93B1r25+Pu4Ex0V6Oo4Is3GzTffzF/+\n8hemTJlCTU0NDz/8MDExMTzwwAMsXryYyMhIxo0bh5ubG/feey/Tp0/HZDIxa9ashgm1RUTkl6u3\n2dn3bQk7MwrYlVFAcXktAG1DfRjety1X9orAw73pFAbENQqri0g5tJLdBemYTWaGt7ua5I7D8XZr\nmovHqIAkIiJNzq6MQiprbIzs3w6L2ezqOCLNhqenJ//85z/P2D5//vwztiUnJ5OcnOyMWCIiLYJh\nGOw/XsKGHVnsOVxIbb0dAB9PKwOjw7m6dyTd2gVoxFELVFVf/d0k2Kcmwv7+dVrhfuod9XQJiOKm\nbuOJ9G3aC8eogCQiIk3Ofx9fa9pfoiIiIiI1dTY2p+eyfnsmWQWVAIQHehHfNYT4LiF0adtKN8Qu\nc+V1FRRUF521SFRUU0KNveasn2vl7se4LjfSP7xPsygsqoAkIiJNSnlVHbsPF9I21Jf24XqkRkRE\nRJoOwzAoKK3hRF4FmXkVnMirYO+3xVTX2rCYTVzRK5zhCW3p3Ma/WRQE5Jepqq/mvQNL2J6366z7\nPS0eDRNfB/1gEuzvX/u5+2I2NZ/iogpIIiLSpGzdm4vdYWj0kYiIiDQpuzIKeOPjfZRX1Z+2PcDX\nnZH9o7gmPpIAXw8XpRNnO1J6jPnp71JUU0x7vzZ0Cej0gyJRIMGeAXhZvS6rQqIKSCIi0mQczS7j\ng01HsFrMXBkd7uo4IiIiIhiGwdptmSxefwg3i5kBPcNoF+b73R8/AnzdL6sigZybw3Cw+tgGPj62\nFsMwGNXxWpI7Dm9Sq6U1FhWQRESkScgurOTZ/+yirt7O/4yN0R08ERERcTmb3cGidYfYuCOLVj7u\n/H5iHFGt/V0dS1yg3l7PnsJ9bDjxBUdKjxHg0Yrbe/2KroGdXB3NaVRAEhERlysqq2Hu4p1UVNcz\nLbk7/XqEuTqSiIiItHBVNfW8tCyN9GPFtAvz5Z6JcQT5e7o6ljiRw3BwuOQYX+eksiN/N9W2U5Nh\nx4fGMKXHRHzcvF2c0LlUQBIREafJyq8gr7iatmG+hLTyxGQyUVFdz9z/7KKwrJYJV3fimvg2ro4p\nIiIiLdzuwwW8s/Yg+SU1xHcJYcYNvfB01z+fL3cOw0FmxUkyio+QUXKUjNKjVNZXARDg0YrBkVcy\nICKBSN+WOVen/gaIiIhT1NXbeWrRDiqqT0086eluoW2YL1U1Nk4WVDKiXztGD+zg4pQiIiLSkhWU\nVvPuukPsOFSA2WRi9MAOjB/SCbNZcxxdrhyGg4PFh/k6J5Vd+enU2Gsa9gV6BBDbuhf9w/vQLbBz\ns1oxrTGogCQiIk6xdV8uFdX1xEQF4ePlxom8Co5kleEwTq24dtPwLpqAUkRERFzCZnewautxPvzq\nGHU2B93atmJqUnfahvq6Opo0kpMVOXydk8o3uTsoqS0FThWM+obH0blVFF0COhHsFejilE2LCkgi\nItLoDMPg0+2ZmEwwLbkHwa1OzR9Qb7NTWllHsL+nikciIiLiErlFVby8Ip1vc8rx93bjtuTuDIyO\nUN/kMlRaW8a23J18nZNKZsVJALysngxqPYArWvelU6sOLX6U0bmogCQiIo3ucFYZx3Mr6NsttKF4\nBOBmtRDSysuFyURERKSlMgyDr9JyeHvNQWrr7VwVG8GvhnfF29PN1dHkEqq117ErP42vc1LZX3QI\nAwOzyUxsSE8GRPQlNrgnbhb9P78QKiCJiEijW7f9BACJfdu6OImIiIgIVNfaWLj6AFv25uLlYeG3\nN0RzRa9wV8eSS8RhODhQnMHXOanszE+jzl4HQEf/9gyISKBvWG983X1cnLL5UQFJREQaVUlFLdsP\n5NMmxIce7QNcHUdERERauKyCSv6Vsov8kho6R/oz44ZoQgM0Iro5cxgOcirzyCg5tXrawZLDlNdV\nABDsGcSAdn3oH5FAuHeoi5M2byogiYhIo9q4Iwu7wyCxb1vNJSAiIiIulXakkJeWp1Fda2fUlR0Y\nNyQKq0Vz3jQHhmHwdU4qX5zcgs1h++92oKi6mEpbVcM2P3dfBkdewYCIU/MaqQ96aaiAJCIiv1hR\nWQ1vfrKfjq39ueGqjg0dMZvdwWc7T+LlYWVgtIaFi4iIiOusT81k0dpDmM0mPbLWzGRVZLP4wFIO\nlx7DbDJjNZ9eyvBz8yEmpCddAqLoEhBFqFeIikaNQAUkERH5RbIKKpm7eCfF5bWkHS0i/WgRvx0b\nTViAF9sO5FFaWceIfu3wdNdXjoiIiDifw2Hw3qeHWLc9Ez9vN+6+MY4ubVq5OpachcNwnPa+1l7L\nR0fX8lnmVzgMB71DY5jY9XqCPANdlLBlU29eREQuWkZWKc+/v4vKGhvjh0SRU1TF5vRcHnnja25L\n7s767VkAJPZt4+KkIiIi0hLV2xy8vDyNHYcKaBPiwz0T4wjRfEdNgmEYFNYUcajkKIdLjpJRcoT8\n6sKzHhviFczkbmOJDu7h5JTyQ04tIFVWVvLAAw9QWlpKfX09s2bNIjQ0lEceeQSA7t278+ijjzoz\nkoiIXKRdGQW8tCwNm93gjlE9GRzXGoDoqCAWrjnIqyv2AhDbKZjwQG9XRhUREZEWqK7ezotL95B2\npIieHQKZNT4Wb0+NoXAVwzDIqfrvRNcZJUcpqS1t2O9l9aRzqygsptPnpOoe1IXh7a7GzeLm7Mjy\nI07927N06VKioqK49957yc3NZdq0aYSGhjJ79mzi4uK49957+eyzz7jmmmucGUtERH4GwzD4bNdJ\n3l59EKvFxF03xhLfJaRh/6CY1nRu04pXlqdzLKeckQPauTCtiIiItETVtTaee38X+4+XENc5mFnj\nY3CzWlwdq0VwGA6OlR2noLqIopri7/6UcKI8i4r6yobjfN18iA+NpUtAFF0DOhHpG4HZpAnNmzKn\nFpACAwM5cOAAAGVlZQQEBJCVlUVcXBwAw4YNY/PmzSogiYg0UVU19by1+gBf78vDx9PKPRN706Xt\nmXMIhAd6M/vWvhSV1xKmYeIiIiLiRFU1Np5+bzP7j5eQ0C2U342N1kprTlJYXcybe9/lSOmxM/YF\negTQPzyBrt9NdB3mHaqJrpsZpxaQRo8ezZIlSxgxYgRlZWW89NJL/O1vf2vYHxwcTH5+vjMjiYjI\nBcrIKuXVFekUlNbQpW0rZlzfi5BWP10cslrMKh6JiIiIU1VU1/Psf3ZyNLucAT3DuHNMLxWPnCQ1\nbzeL9n9Ata2auJBoegV3I8gzkCDPQAI9AvC0erg6ovxCTi0gLV++nMjISF5//XX279/PrFmz8PPz\na9hvGMYFnScw0BtrIw4/DA31O/9BcsmovZ1Pbe5czbm9HQ6DvOIqNqZm8u6aA2AY3DyiOzeP6Ial\niXbGmnN7N0dqbxERaSqyCyt5PmU3ecXVJPZrx5TELpjNGuHS2OrsdbzyzTt8euQL3M1u3NJjIgNb\n99foosuQUwtIqampDB48GIAePXpQW1uLzWZr2J+bm0tYWNh5z1NcXNVoGUND/cjPL2+088vp1N7O\npzZ3rubY3gdPlLBlby6ZeRWcyK+gts4OQKCfBzOu70X39oEUFVWe5yyu0RzbuzlrzPZWYUpERH6O\nfceKmLc0japaG6MHdmDGhN4UFla4OtZlrbimhG9yd/Dlya8pqC6kjW9r7oi+hQif8/+bXponpxaQ\nOnTowK5du0hKSiIrKwsfHx/atGnDtm3b6NevH2vWrOHWW291ZiQREfmBsqo6nnlvJza7A7PJROtg\nb9qG+dI+3JchcZH4emn1CxEREWlaNu06ycLVp+banT66J1fFttbIo0Zgd9gpqS3lYMkRvs5J5VDx\nYQwMrCYLo7olMrL1cK2UdplzagHppptuYvbs2UydOhWbzcYjjzxCaGgoDz/8MA6Hg969ezNo0CBn\nRhIRkR/YtPMkNruD8UOiSL6iA27WpvmYmoiIiEi9zUHKxsOs3XYCH08rd02IpXv7QFfHarbq7fUU\n1hRRWFNCUU0xxd/99/tV1EpqSzH477QznVt1ZEBEAglhcXSIDNco8BbAqQUkHx8fnn/++TO2L1q0\nyJkxRETkLOwOBxt2ZOHhbuHafu1UPBIREZEm68jJMt74eB8nCyqJCPLmnklxhAd6uzpWs1Jjq+Fo\n6XEySo5wqOQo35Ydx2bYzzjOhIkAj1Z0atWBIM9AWvuE0ze8NyFewS5ILa7k1AKSiIg0XTsPFVBc\nXktiQhu8PPT1ICIiIk1Pvc3Osi+OsmrrcQwDEhPaMHFoZzzd1Xe5ELX2Onblp/F1TioHijNwGA7g\nVJGorV8k7XwjG1ZO+/5PgIc/FnPjLWIlzcd5/5aVlpby8ssvk5+fzzPPPMP69euJj48nKCjIGflE\nRP4/e/cdXVd953v/fap6l456s+RuWXLFMrZxwQ1MbILBxHBhErhJbjJkILkPucPlzlpJ1jMzgblM\nniQkZEIMBFIcHHqzwQX3Kje5yZIlq/ej3k7Zzx9OFBzb2MbWOSqf11pamH322ee7f8jip8/+FfGR\nzYcqAVg4NcXPlYgIqA8mIvL3yuva+dU7J6hp6iI2IpCv3jGe8emasvZ5+jwunD1O6rsbKag/xpGG\nQvo8fQCkh6UyNjqb7MhMRkWkE2QN8nO1MthdNUB6+umnmTFjBocPHwagr6+P73//+/z6178e8OJE\nREa6rh43B8/Uc666DT4z5xwgNzuWKaPjbsrnVDZ0cLq8hQkZUSTFhtyUa4rIjVEfTETkbw4XNfCr\nd0/Q5/KyaGoK98wfpVFHl9Ha287Wih2ccRbT3OOkw3XxzrmxgdHMSJ3KzIQpOIJvTj9SRo6r/o1r\nbm7moYce4uOPPwZg2bJl/O53vxvwwkRERiq3x0thaTN7Cms5UtyIy+297Hnbj9awZmE2S2em3fBn\nbimoAmCRRh+JDBrqg4mIgGEYbNxfwetbi7HZzHz77hymjVXw8fecPS18XP4pu6v34fK6sZqtRAdE\nkhKaRHRgJNGBUYyJymZURDomk3aoky/mmiJbl8vV/03W2NhIV1fXgBYlIjJSHTnbyCsfnaa188LQ\n4oToYPInJZCXHYv9M4tat3b28cLbhazfUkxrZx/3zs/6wp2Brh4XuwtriAkPJDc79qbch4jcHOqD\nichI5vZ4eW3TGbYfrSEy1M4/rc4lPSHM32UNKg1dTXxcvpW9NYfwGB5iAqNYnD6fWQnTsVls/i5P\nhpmrBkgPPPAAq1evpg2VcGcAACAASURBVKGhgW9+85scP36c//2//7cvahMRGTFcbg9/2lrC5kOV\nWC1mFk1LYfakBDISwi4bDMVHB/PUf5vGc+uP8tG+cto7+3h4+TisluvfOW3n8Vr6XF4W3pqM2awn\nUiKDhfpgIjKSdfW4ef7N45w67yQtPpR/Wp1LVFiAv8saNGo76/iobCsH6w5jYOAIjmVp+kJmxE/R\ngtcyYK4aIN1xxx1MnTqVw4cPY7fb+eEPf4jD4fBFbSIiI0J1YycvvH2CyoYOkmJD+OaXJpLiCL3q\n+2IjgvjnB6fy/204xq7CWtq6XCy7JY1URyihQdf2xMlrGGwpqMRmNTM3N+lGb0VEbiL1wURkpGrp\n6OU//3SUivoOpoyO5et3TSTAPrJDEY/XQ2tfGw1dTeyo2sORhkIMDJJCEliasZCpjsmYTdf/IFHk\nelw1QNqwYUP/nzs7O9m+fTsAq1evHriqRERGiL0na3n5g9P0ub3Mz0tizaLRBNiuvYMUFmzn/7l/\nCr94q5Dj55o4fq4JgKiwAFIdoYxNjWTB1OQrLjK590Qt9c5u5kxOvObQSUR8Q30wERmJ6pq7+L/r\nj9DY2sOCKck8sHjMiBwh3djdxP7aAoqcJTT1OGnpbcVr/G1dzLSwFJZlLCIndryCI/GZqwZIhw4d\n6v9zX18fx44dY+rUqeq8iIjcIGd7Ly9/cBqLxcy3Vkxg+rgvNrIgwG7hsXtyOHK2kbLadiobOqio\n7+BYSRPHSprYeKCCVXMymZubiMV8oYNRWd/B69tKOH6uCYvZxO3TtHi2yGCjPpiIjDSlNW385PWj\ntHe5WDUnk7tuzRhRCz53urooqD/G/toCzrWWAWDCRLg9jPSw1P7FsMdGZTMuevSIahsZHK4aIP3b\nv/3bRf/e3d3NP//zPw9YQSIiI8Wb28/R5/byD4vHfOHw6K+sFjPTxzkuuk5bVx9bDlXy0f5yfrvx\nDJsOVHDXrRmcLGtm9/FaDGBcWiT3LsgmLV4LUooMNuqDichI0djaTWFpM+u3FNPn8vDQ0rHMn5Ls\n77IGXKeri5KWUor/8lXRUYXX8GLCxNiobGYmTCU3bhJB1kB/lyoCXOMubJ8VFBREeXn5QNQiIjJi\nVNR3sOt4DclxIczJSRyQzwgPtrNq7ijmT0nmnZ2lbD9aw6/fPQlASlwIq+dnkzMqWk+vRIYI9cFE\nZLjo7nVz4HQ9p8udFFW00NzWC4DVYuJbqyYxbezwXO+ttbetPywqbjlHdWdt/2tmk5n0sBQmx01k\nRvwUogIj/VipyOVdNUBau3btRb9c1NXVMXbs2AEtSkRkuHt9azEGcO/87AGf1x8ZGsBDy8axeEYq\nnx6pJtURSv7EhBG5noDIUKI+mIgMNx3dLj45WMEnByvp6nUDEBpkY+qYOMakRpKbFUN8dLCfq7y5\nety97Kzey67qfdR3NfYft5ltjInMIjtqFKMjM8kIT8NusfuxUpGru2qA9Pjjj/f/2WQyERoayrhx\n4wa0KBGR4exEaTOFpc2MT48iZ1S0zz43MSaE+xeN9tnniciNUR9MRIaL5rYeNh+qZMvhKnr7PIQG\n2bh7biZTxzpIigkelqOhu1zdfFq5m60VO+h0d2G32JkYM47syEyyI0eRFpaM1XzdE4JE/OqK37F7\n9uy57PGWlhb27t1Lfn7+gBUlIjJceb0Gf9pajAm4b0H2sOwwiciNUR9MRIayzh4Xx4qbqKjvoKKh\ng8r6Dlo7+wCICLVz95xMbstLJsB+7bvODiUdfZ1srdjBtsrd9Hh6CLEGsyJzCbelzCbYNrxGV8nI\nc8UA6Re/+MUV32QymdR5ERH5AvacqKWivoP8iQmkJ2jhahG5lPpgIjIUeQ2DXcdqeH1bCR3drv7j\nMeGB5GXHkpMVw5ycBGzW4Rkctfa28Un5p+ys2kuf10WYLZRlGXcwN3kWgVoEW4aJKwZIr7766hXf\ntHHjxgEpRkRkOOtzeXhj+zmsFjNfnjfK3+WIyCClPpiIDDXlde28tqmI4qpWAmwWVs7JZHx6FClx\nIQQH2vxd3oBq6nbySfk2dtccwO11ExkQwcq0+cxOmqE1jWTYueqky+rqal577TWcTicAfX197Nu3\nj6VLlw54cSIiw0VLRy8vvncSZ3svy2elEROhJ1Ei8vnUBxORwa65rYcP95WzpaASw4DpY+O4f9Fo\nosOHfz+nvquBjee3sr+2AK/hJSYwmqXpC5iZOA2b1jaSYeqq39lPPvkk8+bNY+vWrTz44INs3ryZ\nZ555xhe1iYgMC8dKGvnN+6do73IxOSuGu2Zn+LskERkC1AcTkcHIMAxOl7ew5VAlBWcbMAyIjwri\ngSVjmJQZ4+/yBlx1Ry0bz2/hUN1RDAzigx0sTV/A9Pg8LObhOT1P5K+uGiBZLBa+/vWvs2PHDh54\n4AFWr17Nd7/7XWbPnu2L+kREhiyX28uLbxfy9vYSrBYTX7l9NLdPS9HC2SJyTdQHE5HBZv+pOt7d\nVUZVYycAafGhLJqWwqwJCdisZj9XN7AMw2BzxXbeKv4AA4Pk0ESWZSwiL24SZtPwvneRv7pqgNTb\n20ttbS0mk4mKigqSkpKoqqryRW0iIkNSW2cf+07W8enRaqobO0mIDuabKyeSFq9Fs0Xk2qkPJiKD\nhdvj5Q+fnGXr4SosZhO3TIhn0dQUspLDR8SDMY/Xwx/PvMnumv1E2MP5yrgvMylm/Ii4d5HPumKA\nVFdXR3x8PI8++ii7d+/mkUceYeXKlVgsFlasWOHLGkVEBj2X20NBUSN7TtRSeK4Zr2FgNplYOiud\nVbMzhu1WtSJy86kPJiKDibO9l1+8eZyS6jZS4kL49t05xEePnO3ou1xd/LrwNYqcxaSGJvHN3K8S\nGRDh77JE/OKKAdJdd91FXl4eq1ev5ktf+hJWq5X9+/fT2dlJRIT+woiIAHi9BrsLa3lr5zma23oB\nSE8IY/bEBGZOiCc7I4aGhnY/VykiQ8mN9sGeeeYZDh06hNvt5hvf+AY5OTk8+eSTeDwe4uLiePbZ\nZ7Hb7bzzzju88sormM1m7rvvPu69914f3J2IDCVnyp388q1C2rpczJoQz8PLxo2oh2L1XQ388thL\n1Hc1khs7kYcnfoUA7awmI9gVA6QdO3bw8ccf86c//Ykf/vCH3HXXXaxevZqsrCxf1iciMigZhsHx\nc81s2FZMZUMnVouZJTNSmZebRFJsiL/LE5Eh7Eb6YHv37uXs2bOsX78ep9PJ3XffTX5+PmvXrmX5\n8uU899xzbNiwgVWrVvH888+zYcMGbDYbq1evZvHixURGRvrgDkVkMGvp6OVocSNHi5s4VtKEyQRf\nWTSa26ePnHUcm7qb2VS+jb3VB3AbHhanzedLWcu01pGMeFcMkAICAlixYgUrVqygvr6ed999lyee\neILg4GBWr17N6tWrfVmniMig0dHt4oW3CzlZ5sQE3DopgVVzRxETMfy3rBWRgXcjfbAZM2YwefJk\nAMLDw+nu7mbfvn384Ac/AGDBggWsW7eOzMxMcnJyCAu7sDbb1KlTKSgoYOHChQN/gyIy6Hi9Bp8c\nqmTfyVpKa/42cjo5NoQHl4xhbFqUH6vznbquBjaVbWV/XQFew0tsYDR3ZS1jenyev0sTGRSuuog2\ngMPh4JFHHmH+/Pn84he/4Ic//KECJBEZkQzD4Lcbz3CyzMnEjCjuWziaVEeov8sSkWHqevtgFouF\n4OALa5Ns2LCBefPmsXPnTuz2C1MuYmJiaGhooLGxkejo6P73RUdH09DQMLA3IyKDUntXH7965wQn\ny5yYTSbGpUWSNzqOvOwYHFEjY62jqo4aNpZtoaD+GAYGCcEOlmYsZJojF4t55EzZE7maqwZIra2t\nvPfee7z55pv09fWxevVqnn766S/8ge+88w4vvvgiVquV73znO4wdO/ay8/JFRAajfafqOHi6nuyU\nCJ64Lw+zeWQM5RYR37uRPtgnn3zChg0bWLduHUuWLOk/bhjGZc+/0vG/FxUVjNU6cL9MxcVpt0pf\nUnv71mBs7+KKFv711UM0OLuZMSGef1ozhYjQAH+XddNcrc2Lm8p449RHHKw6CkBGZApfnrCcmSl5\nmq72BQzG7/HhzB/tfcUAacuWLbz55pscOnSIxYsX8y//8i/9Q6K/KKfTyfPPP8+f//xnurq6+NnP\nfsbGjRsvmZe/du3aG/ocEZGB4Gzv5bWNRQTYLDx653iFRyIyIG60D7Zjxw5eeOEFXnzxRcLCwggO\nDqanp4fAwEDq6upwOBw4HA4aGxv731NfX09e3tWnaDidXV/onq5FXFyYNh3wIbW3bw3G9t5xtJpX\nNxXh8XhZNSeTFbdm0NfdR0N3n79Luyku1+Yur5vytkqKW85xqrmIsy3nAMgMT2NZxiImxozDZDLR\n1Njpj5KHtMH4PT6cDWR7f14wdcUAad26daxevZpnn32WwMCbs67Hnj17yM/PJzQ0lNDQUH70ox+x\ncOHCS+blK0ASkcHGMAzWfXCKrl43Dy0bO2KGdIuI791IH6y9vZ1nnnmGl19+uX9B7NmzZ7Nx40ZW\nrlzJpk2bmDt3Lrm5uTz99NO0tbVhsVgoKCjgqaeeGojbEZFBxjAM/ri5mI8PVhAcYOXrX85hclaM\nv8saUAfrjrCzai9lbeW4vO7+46MjR7E843bGRGWNmAXCRW7EFQOk11577aZ/WGVlJT09PXzzm9+k\nra2Nxx57jO7u7kvm5V+Nhk8PL2pv31ObX7/3d5VyorSZaeMcrL597HV1MtTevqX29i219813I32w\nDz74AKfTyeOPP95/7N///d95+umnWb9+PUlJSaxatQqbzcb3vvc9HnnkEUwmE9/+9rf7F9QWkeHL\naxi8uvEMnx6pJik2hO/ckzOsH4p1u3tYf+YtDtQVYMJEUmgC2ZGjyI7MJCsik4gA/dwTuR7XtIj2\nzdTS0sLPf/5zqqureeihhy6ac3+t8+81fHr4UHv7ntr8+tU1d7HunUJCAq08cPtoGhs7rvm9am/f\nUnv7lr+GT8uVrVmzhjVr1lxy/KWXXrrk2LJly1i2bJkvyhKRQcDrvTCaendhLWnxoXxvTR5hwcN3\n7dnipjKeO/Aijd1NZISn8Q8TvkJc8PAeaSUy0HwaIMXExDBlyhSsVitpaWmEhIRgsVgumZcvIjKY\nvPzhafrcXr5253gih9HCkiIiIjIyuD1eXnzvJPtP1ZOZGM531+QSEmjzd1kDwmt42Vy+nXfPfYTX\nMFiSvoAVmUu0m5rITeDTpeXnzJnD3r178Xq9OJ1Ourq6+uflA/3z8kVEBouqxk7OVLQwMSOKmePj\n/V2OiIiIyDUzDIOqxk5++VYh+0/VMzolgv95f96wDY9ae9t4/shveKvkA8IDwvjHvEdZmbVc4ZHI\nTeLTEUjx8fEsXbqU++67D4Cnn36anJwcvv/97180L19EZLDYU1gLwNzcJD9XIiIiInJ1bo+Xs5Wt\nHC1u5MjZRupbugEYnx7Fd+6ZTIB9eIYpJ5pO89uT6+lwdTIpZhyPz/kavZrVLnJT+XwNpPvvv5/7\n77//omOXm5cvIuJvXq/BnhO1BAVYyMuO9Xc5IiIiIpfV2ePi+LkmjhY3cbykia7eCzuNBdotTB8b\nR97oWGaMi8dm9ekEFJ9wed28U/IhWyp2YDVZuHf0Sm5LmU14YBgN7UqQRG4mnwdIIiJDxelyJ872\nXublJmK3Dc+ndSIiIjJ0dPW4qXN20dTaQ1NbD02tPVQ2dFBU0Yr3LxsSxYQHMGtiPFNGxzE2LRKr\nZfiFRnBhraOC+mN8WLaZ2s464oMdfHXiWlLDNGpcZKAoQBIRuYK/Tl+bPSnRz5WIiIjISOb1Gnxy\nsII3tp+jz+295PXMxHDyRseSlx1LSlwIJpPJD1X6hsfrYX/dYTaVbaG+uxGzycyc5Fl8OXsFAZbh\nu6ucyGCgAElE5DJ6+zwcPNNAbEQg2SkR/i5HRERERqja5i7WvX+K4qpWQoNszMtNIjYikJi/fMVF\nBg3bRbE/y9nTwoHaw+yo3ktzjxOLycKtSbewJH0+sUEx/i5PZERQgCQichkFRQ30ujwsnZSKeRg/\nxRMREZHByes1+Pgvo45cbi/Txzl4cPEYwkOG5ygbwzBweV0XHevzujjWcJL9tYcobinFwMBmtjI/\n5VZuT7uNqMBIP1UrMjIpQBIRuYzdhTUA5E9K8HMlIiIiMtK0dvbxq7cLOV3eQliwjUdXTGDGOIe/\ny7qpvIaXyo5qiltKKW4ppaSllA5X5xXPz4rI5JaEqUxxTCbYFuTDSkXkrxQgiYj8HWd7LyfLnGQn\nRxAfFezvckRERGQEKalq5RdvFeJs72XK6FgeXj6O8ODhM+qotbedLRXb2VW9n253d//xqIBIxkeP\nuWj9JhMmMsPTmZEwhdigaH+UKyKfoQBJRIal0po21n1wirzsWJbfkk5w4LX/uNt7ohYDmK3RRyIi\nIuIjhmGw7Ug1v/+4CK9hsHp+FstvSRs2C2I39zj5pPxTdlfvx+V1E24PY0riDLIjR5EdmUmMAiKR\nQU8BkogMO719Hv7rnRPUObupaujk0yPV3HVrBgumJF91K1vDMNhVWIvVYmLG+OE1VFxEREQGp16X\nh99tKmLn8RpCg2x8Y+VEJmYM/UDFa3gpbillb81BDtYdwWN4iAmMYnH6fGYlTMdmGf6Lf4sMJwqQ\nRGTYeX1bMXXObhZNTSEi1M4He8/zh0/O8snBChZOTSHAZrniezu6XVQ3djJ9bNyI2NFERERE/Kuo\nooV175+ivqWbjIQwvn13DjERgf4u64bUdtaxr7aAA7WHcfa2AOAIjmVp+kJmxE/BYr5yX0xEBi8F\nSCIyrBSWNrGloIqk2BDuW5iFzWphXl4S7+0qY+vhKtZvKb6m69yakzjAlYqIiMhI1tvn4c+flrD5\nUCWYYNnMNO6el4nNOjTCFY/XQ2VHNedaz9PQ3URzj/MvXy39axsFWgKYlTidWxKmkh05CrPp80eC\ni8jgpgBJRIaNzh4XL31wGovZxH9fMaG/AxYebGft4jEsnpFKSXXrVa8TEmhjUubQHzYuIiIig9Pp\n805e/vA09S3dJEQH87U7x5OdHOHvsj6XYRiUt1dyqrnowq5prWX0efouOsdusRMdGMWYqCymOiYz\nOXYCdsvwWQBcZKRTgCQiw8bvNhXhbO/l7rmZpCeEXfJ6XGQQcZHa9lVERET8o7qxkw3bSjhS3IjJ\nBMtvSWPlnEzsnzO93t+aup0cqCtgf20BdV0N/ccTgh1kR2aSFZlJQoiD6MAoQqzBw2bRbxG5lAIk\nERkWDpyuZ+/JOkYlhXNHfrq/yxERERHp19TazcsfnmbHsWoMA8akRLBm0WgyE8P9XdolXF435W2V\nFLec42TzGYpbSgGwma1MdUxmqiOX7MhMwuyhfq5URHxNAZKIDGkd3S7e3VXGloJK7FYzj66YgMWs\n+fUiIiLiX4ZhcLaylT0natlzoo4+l4fEmGBWz88iLzt2UI3U6XR1satqHyebz1DWVo7L6+5/bXTk\nKGYmTGOKYxJBVo3kFhnJFCCJyJDU5/Lw8cEKPth7nu5eD7ERgTy4ZCwJ0cH+Lk1ERERGsDpnF7uP\n17LnRC2NrT0AxEYEcmd+NnMmJw6qB13tfR1sLt/O9qrd9Hr6MGEiKTSB7MhRZEdmkh2ZSbj90mUB\nRGRkUoAkIkPOmXIn//XuSZztvYQEWrl/0WgWTEnGZh08HTIREREZWbxeg/d2l/H2rlIMAwJsFmZP\nSiB/YgJzp6fR3NTh7xL7NXY3s61iJzur9+Hyugi3h3FH5mLyE2cQYtPDOBG5PAVIIjKkNLZ08/M3\njtPT5+GOWencMSuN4ECbv8sSERGREay5rYf/evckRRUtRIcHcM+8LKaOiSPAfmFxbIvZ/9PVulxd\nHKo/xv7aAs61lgEQFRDJkvT55CfOwGZRf0pEPp8CJBEZMvpcHn7+5nE6e9z8w/JxzMtN8ndJIiIi\nMsIdOlPPyx+eprPHzfSxcTy8fBwhg+jh1rnW82wu305h40nchgcTJsZEZTMrYRrT4nOxmvUroYhc\nG/20EJEhwTAMXt14hvK6DublJio8EhEREb9xe7wUljaz61gNh4oasFvNPLxsLPNykwbF4tiGYXC2\n5RwflW3mjLMYgMSQeGYmTGVG/BSiAiP9XKGIDEUKkERkSNh2uIpdhbVkJobxwOIx/i5HRERERpg+\nl4eKhg72nqhj/6k62rtcAKTHh/HoXRNIjg3xeU21nXUUOc/hxdt/zDAMCuqP9U9TGxc1mmUZC8mO\nHDUowi0RGboUIInIoFdc1crvPzlLaJCNb9+dg81q8XdJIiIiMoy53F42H6qkpLqVptYemtp6+gMj\ngLBgG4umpTB7UgIZCWE+DWba+zo4WHeE/bWHKG+vuuJ5ObHjWZq+iMyINJ/VJiLDmwIkERl0Wjt6\nqWjooLK+k4r6do6fa8ZrGPyPlROJDg/0d3kiIiIyjJXWtLHug1NUNXQCYLWYiA4PJCUulLjIIPJG\nxzIpMxqrZeB2f23v62BLxQ5KW89fdNzt9XC+vQKv4cVsMjMpZhy5cTkEWgMuOi8h2EFSaMKA1Sci\nI5MCJBEZNLp73fzy7UIKzzVfdDzAZuHBxWMYnxHtp8pERERkuHO5vbyzq5QP95bjNQzmT0nmrtkZ\nRITaMftohFFLbyufnP+UndX7cHldlz0nLSyFmQlTmR6fR5g91Cd1iYiAAiQRGSRaO3r5zz8dpby+\ng6zkcCakR5PqCCXVceFpn3kQbH8rIiIiw1NJdSsvf3CaqsZOYsID+eod45gwQA+uOvo6OdxwjJae\n1ouOt/S2cbDuMG7DQ1RAJIvT55OfOAPb3+2SpnWMRMRf/BIg9fT0sGLFCr71rW+Rn5/Pk08+icfj\nIS4ujmeffRa73e6PskTET+qdXfzf9UdoaOnhtrwk/tuSsQqMREREZMB1dLvYsK2EHUerMYAFU5JZ\nPT+LoICb+2tSn8dFQf0x9tce4kTTGbyG97LnxQXFsCR9ITMTpmA161m/iAwufvmp9Mtf/pKIiAgA\nfvrTn7J27VqWL1/Oc889x4YNG1i7dq0/yhIRPzhf285//ukIbV0u7pqdwaq5mXqyJiIiIgPKaxjs\nOFrNhm0ldPa4SY4N4cElYxibFnWTru+lqqOW4pZzFLeUUtRSTJerG4CU0CRmJEwhI/zixa2tZgup\noclYzNosREQGJ58HSCUlJRQXFzN//nwA9u3bxw9+8AMAFixYwLp16xQgiYwQ5XXt/Pj3BfT2eXhg\n8RgWTUvxd0kiIiIyzBVXtvLHLWc5V91GgN3CmoXZLJqWclMWxW7qbuaN4vc54zxLt7un/3hscDS3\nJt7CzISpWtxaRIYsnwdIP/7xj/k//+f/8NZbbwHQ3d3dP2UtJiaGhoYGX5ckIn5gGAa//+QsPX0e\nvn7XBGZNVGdKREREBk5NUycbtpVw+GwjADPHO1izcDRRYQFXeee1OVR3lD+c+TPd7h5ig2LIi8sh\nOzKT7MhRjEtNo7Gx46Z8joiIv/g0QHrrrbfIy8sjNTX1sq8bhnFN14mKCsZqHbihnXFxYQN2bbmU\n2tv3BkOb7yusoaiihZkTErhr/mh/lzOgBkN7jyRqb99Se4vIYNfQ0s2He8+z/WgNXsMgOzmCexdk\nMTol8qZcv9fTx4ait9ldcwC72caD4+5lVuL0i6bka3q+iAwHPg2Qtm3bRkVFBdu2baO2tha73U5w\ncDA9PT0EBgZSV1eHw+G46nWczq4BqzEuLoyGhvYBu75cTO3te4OhzT1eL795pxCzycSXZqf7vZ6B\nNBjaeyRRe/vWQLa3gikR+aLqmrs4U9HCmfIWiipaaGq7MJUsITqY1fOzmDI69gsFOj3uXo43nsTl\ndfcf8xoetlTsoK6rgZTQJL42cS3xIVf/fUZEZCjyaYD0k5/8pP/PP/vZz0hOTubw4cNs3LiRlStX\nsmnTJubOnevLkkTED7YfraGmqYv5eUkkxYb4uxwREREZBrp73by26Qx7TtT1HwsJtDJldCx52bHM\nzknAYr7+dY4Mw+Bww3H+fPZdWnpbL3vOgtQ5rMy6A5t2ThORYczvP+Eee+wxvv/977N+/XqSkpJY\ntWqVv0sSkQHU3evm7R3nCLBZWDkn09/liIiIyDBQWtPGr94+QX1LNxkJYcydnMjo1EiSYkMw38D0\nsbquBl4veptTzUVYTRYWp80nMST+onMcwXFkRqRd4QoiIsOH3wKkxx57rP/PL730kr/KEJEvwO3x\nYjabrtgh8xoGG7aWUHC2gWUz05ibm9j/xO+jfeW0dblYNSeTiNCbs2iliIiIjExew2DjvnLe2H4O\nr9fgjlnprJqbeUM7qnW7uznXep6TTWfYWbUXt+FhQvRY7h2zEkdw7E2sXkRkaPH7CCQRGVoMw+A/\n/niEOmcXj945gYmZ0Re97vZ4efG9k+w/VQ/Abzee4eODFay+LYuMxHA2HignIsTO0pl6UiciIiJf\nXFNrDy99eIqTZU4iQu389xUTmJARffU3/h2v4aXIWUJh4ymKW85R2VGDwYXNfaICIlk9+i5y4yZp\nIWwRGfEUIInIdTlytpGiihYA/u/6Iyy/JY27543CajHT3evmF28e50SZk+yUCB5eNo7NByvYfrSG\nn71xnJBAK30uL19ZlEmAfeB2UhQREZHhyzAMth+tZv2WYnr6PORmxfDVO8cTHmy/rutUd9Syv7aA\nA3WH+9c2sposjIrIYHRkJtmRo8iKzMRusQ3EbYiIDDkKkETkmhmGwds7SzEBj941gbd3lvLhvnJO\nlztZe/sYfvdxEWW17eRlx/KNlRMJsFl4aNk4Fs9IZcO2Eg6fbSQ5LoQ5kxP9fSsiIiIyBDW19vDy\nh6c4UeYkKMDKV+8Yx5ycxGseHeQ1vBTUH2Nz+aeUt1cBEGQNZHbiTKbF55IVkYFNgZGIyGUpQBKR\na3bkbCPl9R3cdPFxIQAAIABJREFUMiGe/IkJ5GXH8ruPi9hdWMv/++ohAOZMTuThZWMv2uUkMSaE\nx+6ZTFVDB2Eh9i+0A4qIiIiMXL19HrYeruKdXaX09HmYnBXDQ0vHEh0eeE3v93g97K8tYNP5rdR3\nN2I2mcmJHc/MhGnkxIxXaCQicg0UIInINfns6KO7ZmcAEBRg5dEVF9ZBen1rMXMmJ3L33FFXfAqY\nHBfqu4JFRERkyOvqcbO5oJKPD1TQ0e0iKMDK1+4Yz605CVfsb/R5XDT3OPu/mnqcHKw7QnOPE4vJ\nwq1Jt7AkfT6xQTE+vhsRkaFNAZKIXJPPjj5Kig256LX8iQnkT0zwU2UiIiIyXBiGQVtnHxX1HZwu\nb2Hr4Sq6e90EB1hZOSeTRdNSCA26dLRQj7uHIw2F7K8toMhZ0r8I9l/ZzFbmp9zK7Wm3ERUY6avb\nEREZVhQgichVXW70kYiIiMjN0NrRy/aj1ZypaKGivoP2Llf/a2HBNlbPz2LBlGSCAi7+1cUwDE47\nz7K35iBHG07g8l54X0Z4Gkkh8UQHRhEVGEl0YBRJoQmE2i5+ACYiItdHAZKIXNVfRx/NuszoIxER\nEZHrZRgGJdVtbD5UycHT9Xi8F0YMxUYEkj06glRHKKmOUCZlxlyyc6vX8HKs4QQflW2moqMaAEdQ\nLDMTpjIjYYqmpomIDBAFSCLyuS4afXRrhr/LERERkSGsrrmLw2cb2XeyjvN17QAkx4awcFoKt4x3\nEBx45cWsPV4PBfXH+Oj8Fmo76zBhYpojlwWpc8gIT7vmndhEROSLUYAkIp9r25Hq/tFHiTEafSQi\nIiLX51x1GwdP13OkuJHa5i4ATCaYOiaORdNSGJcWedXwp6Ovk/86/ltKWksxm8zckjCNpekLiA9x\n+OIWREQEBUgi8jk+3Hee17eWEBJ4YeFKEREZGoqKivjWt77FP/zDP/Dggw9SU1PDk08+icfjIS4u\njmeffRa73c4777zDK6+8gtls5r777uPee+/1d+kyjHT1uPjj5mJ2Hq8BwG4zM2V0LHnZsUzOjiUi\nxH5N16ntrOOXR1+isaeZvLhJ3J29gtig6IEsXURELkMBkohcwmsYvL61mI37K4gKC+C79+USHx3s\n77JEROQadHV18aMf/Yj8/Pz+Yz/96U9Zu3Yty5cv57nnnmPDhg2sWrWK559/ng0bNmCz2Vi9ejWL\nFy8mMlI7VMmNO1bSyCsfncHZ3kuaI5RV80YxIT0Ku81y9Td/xunms7xY+Crd7h6WZyzijszFmE3m\nAapaREQ+j376ishF3B4vv3nvJBv3V5AYE8xTD04jOS7U32WJiMg1stvt/PrXv8bh+NvUnn379rFo\n0SIAFixYwJ49ezh69Cg5OTmEhYURGBjI1KlTKSgo8FfZMkx09bj4zfsn+cnrx2jr7GPV3Eyefng6\nedmx1x0e7ajay/NHf4PL4+LhCfezYtRShUciIn6kEUgi0s9rGPz8jeMcK2liVFI4j9+bS2jQlRez\nFBGRwcdqtWK1XtzF6+7uxm6/MF0oJiaGhoYGGhsbiY7+2zSg6OhoGhoafFqrDB8ut5dth6t4d3cZ\nHd0u0uJDeeTOCaQ6rv8hVGN3MxvOvs3xxlOE2kL4es7DZEVm3PyiRUTkuihAEpF+h840cKykifHp\nUXznnsmXbJsrIiJDn2EY13X8s6KigrFaB+7/DXFxYQN2bbnUzWhvr9dg59EqfvvBKeqauwgOtPLw\nnRNYdVsWVsv1jRZyeVy8c/pj3jj1ES6Pi4mOMXxzxoPEh8bdcJ2Dgb6/fU9t7ltqb9/yR3srQBIR\n4MLoo3d2lmI2mXho2ViFRyIiw0hwcDA9PT0EBgZSV1eHw+HA4XDQ2NjYf059fT15eXmfex2ns2vA\naoyLC6OhoX3Ari8Xuxntfaqsmde3lVBW247FbGLx9FRWzE4nLNiOs7nzqu/3eD209LbS3OOkvruR\nT85/Sn13I+H2MB4Yu5rp8XmYuk00dA/97wt9f/ue2ty31N6+NZDt/XnBlAIkEQEujD6qauzk1kkJ\nxEdpwWwRkeFk9uzZbNy4kZUrV7Jp0ybmzp1Lbm4uTz/9NG1tbVgsFgoKCnjqqaf8XaoMARX1HWzY\nVsLxc00A3DIhnrvnjcIRGfS57/MaXkpaythfW8Cp5iJaelsx+NvINxMmFqTM4c5Riwmyfv61RETE\n9xQgichFo49W3Jrh73JEROQGFBYW8uMf/5iqqiqsVisbN27kP/7jP/hf/+t/sX79epKSkli1ahU2\nm43vfe97PPLII5hMJr797W8TFqbpB3Jlja3dvL2jlN2FtRjA+PQo7l2QRUZCeP85Xa5umnqcF73P\n7XVR2HiK/XWHaf7La6G2EEZFpBMdGPWXr0iyIzNJCIn35S2JiMh1UIAkIhp9JCIyjEyaNIlXX331\nkuMvvfTSJceWLVvGsmXLfFGWDFE9fW4OnWlgz4laTpU5MYCUuFDuXZDFpMxo2l0dFNQfo7jlHMUt\npVR31F40quizAix2bkmYxsyEqYyJytKOaiIiQ4wCJJERTqOPRERE5O+VVLWyuaCSgqIG+lxeALKS\nw5mfl0z+xASqOmv4TeFrHGko7A+MbGYroyNHkRiagBnT3y5mgvSwVHLjJmK32P1xOyIichMoQBIZ\n4TT6SERERODCTnxnylt4d3cZp85fmGrmiAxi1sR48v/STyhtPc+vjr9EYdNpANLCkpkSN5nsqExS\nw1KwmfXrhYjIcKWf8CIjmEYfiYiIiNdrcPxcE+/vPU9xZSsAEzOiuDM/g7FpkQCcbTnH+sObOeMs\nBiArIoNlGYsYHz0Gk8l0xWuLiMjwoQBJZATbdbzmwuijHI0+EhERGWkq6jvYU1jL3pO1tHT0AZCX\nHcuK2RmMSgrHMAxONhfxUdlmzrWWATAuajTLMhYyOirLj5WLiIg/KEASGYGqGzvZsK2EI8WNWC0m\nVszO8HdJIiIi4gNer8HO4zVsO1JNWU0bAMEBVubnJTF/SjJp8WF4DS9HGwr5qGwz5e1VAOTEjmdp\n+iIyI9L8Wb6IiPiRAiSREcTZ3sv6bSVs2ncew4AxKRGsWTRao49ERERGgNKaNl7bdIbSmnasFhNT\nRscye1ICk7NisVnNeA0vB2sP89H5LdR01mHCxBTHZJamLyQ1LMnf5YuIiJ/5PEB65plnOHToEG63\nm2984xvk5OTw5JNP4vF4iIuL49lnn8Vu1+4MInBhMctXNxVxvrad763JJTjQdt3X8Hi9nCh1sudE\nLQVFDbjcXhJjgrl3fja52TFat0BERGSY6+h28cb2c3x6uAoDyJ1k45aZIRjuXvo4z8H683S7u9lR\ntZf67kbMJjO3JExjSfp8EkLi/V2+iIgMEj4NkPbu3cvZs2dZv349TqeTu+++m/z8fNauXcvy5ct5\n7rnn2LBhA2vXrvVlWSKD1sb9FWw7fGHo+O8/OcujKyZc9jyX28vpcidut7f/mNeAs5Ut7D1ZR1vn\nhXUNHFFB3LtoDHmjorCYzQN/AyIiIuI3vX0eth2p4v095+nodhGX1E3MmEqKukooKrz0fIvJwq1J\nt7AkfT6xQTG+L1hERAY1nwZIM2bMYPLkyQCEh4fT3d3Nvn37+MEPfgDAggULWLdunQIkEeD0eScb\ntpUQEWInIsTO7sJapoyOZdpYx0XnudxefvL60f7tdv9eaJCNhVOTyZ+YwKikcByOcBoa2n1xCyIi\nIuIHXT1uNhdU8vGBCjq6+wiIbiElt5ImbxUdXZAdmcnC7Nl0d7r632PCxJioLKICI/1YuYiIDGY+\nDZAsFgvBwRfWWtmwYQPz5s1j586d/VPWYmJiaGhouOp1oqKCsVotA1ZnXFzYgF1bLqX2vlRjSze/\nevcEJhM89dWZhAXbefy5bby6qYhbJicTFR4IgMdr8OyrBzl13smUMXFMHXfxMPOk2BCmjHVgs148\n2kht7ltqb99Se/uW2lvEvzp7XDS29NDU1kNTaw+1zi72nqijx2gjML6WmMQ6umilyQvjo8ewLGMR\n2ZGZxMWF6YGSiIhcF78sov3JJ5+wYcMG1q1bx5IlS/qPG4ZxTe93OrsGqjT9z9TH1N6Xcrm9/Pj3\nBbR29PHA4jHEhV4IWO+5LYs/bD7Lc787xGP35ADw6sYz7DpWzZjUSL5x1wTstkuD1RZn50X/rjb3\nLbW3b6m9fWsg21vBlMjn6+h28fKHpyko+szDV5MXS0w19uxqAkOaAXCZbUyPy2Nh6lzSw1P9VK2I\niAwHPg+QduzYwQsvvMCLL75IWFgYwcHB9PT0EBgYSF1dHQ6H4+oXERnG/vBJEeeq28ifGM/Cqcn9\nxxdNT+FIcSNHihvZeayGhtYeth2pJs0RynfumXzZ8EhERESGn9Pnnfz6vZM423vJSAgjIymEzuAS\nzrmP0OVtx4SJ0VHZzEyYSl7cJIKsgf4uWUREhgGfBkjt7e0888wzvPzyy0RGXphfPXv2bDZu3MjK\nlSvZtGkTc+fO9WVJIoNGn8vDn7YWs+1INamOUB5aNu6iHdLMJhNfu2M8/7JuH69uOoPbY+CIDOKJ\nNXkEB/plMKGIiIj4kNvj5Z1dpby/+zwmk4kvzUsmOKmaLRUf0t7Xgd1sY2HqXBakziE6MMrf5YqI\nyDDj0986P/jgA5xOJ48//nj/sX//93/n6aefZv369SQlJbFq1SpfliQyKFQ1dvKrtwupbOgkOTaE\nx76cQ8BlRhTFRASy9vYx/Ob9U0SE2Pnu/XlEhNj9ULGIiIj4UntXHz/98zFKqluITGolfXwbWzs/\nxn3OTaAlkGXpC1mQOpdQe4i/SxURkWHKpwHSmjVrWLNmzSXHX3rpJV+WIXJFZytbKKpoYenMNKyW\ngd/m3jAMPj1azR8/OUuf28uCKcmsWZj9udPRZk9KIDjASqojlNjIoAGvUURERPyrtq2Fn3ywFae1\nitBpdfSaeylqh/hgB7MSpjEneRbBNvUJRERkYGnei8hf7D9Vx4vvncTtMWjvcnH/otE3/TM8Xi+1\nzd1U1LdTUd9BcWUrZytbCQm08t/vmsi0sXFXvYbJZGLKmKufJyIiIkOTy+vmRNNpTjWdoch5jvru\nBnBc6LgH20KZHj+DmQlTSQ1Lvmi6u4iIyEBSgCQCbD5Uye8/LiLAbiEqzMamAxVkJoZzy4T4G762\ny+3hSHETewprKSxtxu3xXvT6uLRIHrlzAjERWuBSRERkpDIMg3Ot59lfe4iC+mN0ubsBMHmteNpj\nSA1O596ZM8iKyMBi1sYZIiLiewqQZMRo6+yjpaOXxJgQbNYL09MMw+DNHaW8t7uM8BA7T9ybi91m\n5oevHOSlD0+RHBdCSlzoF/q84qpWdhyt5uCZerp7PQAkx4WQmRhOalwoqY5QUhyhhAbZbto9ioiI\nyNDR0ttKcUspJS2lnGw6Q2NPMwAR9jDmJ8/l5JEAzpeayZ+YyCOLJ2A2a7SRiIj4jwIkGRHcHi//\n+uoh6lu6MZtMJMYEk+oIxeX2cqiogbjIQL63Jg9HVDAAj945nuffLOTnbxznXx6eTnDg9YU8249W\n8/KHpwGICgtg/pRkZk9MIPkLhlEiIiIyPPR5+njn3EccbzxFY3dT/3G7xU5udC6x3mxa68I4cLyF\nxtYepo9z8LU7xys8EhERv1OAJCPC7sJa6lu6yUwMx2I2UdHQQVVjJwBp8aE8cd/Fu5lNG+vgjlnp\nfLD3PC++d4p/vCcH8zWuMVBQ1MArH50mNMjG1780gQnp0er0iYiICK29bbxw7GXK2ysJsgYyKWY8\nsdYknLWhFJ0w2NvWB3QCnQTaLdyWl8QDi8dgMQ/8xh4iIiJXowBJhj23x8t7u8uwWsz845dziAoL\nwGsYNLZ009Taw6jkCAIus+vZl+eNoqy2jSPFjbyzs5RVc0dd9bNOn3fywtsnsFstPH5vLqOSwgfi\nlkRERGSIqWiv5oVjL9HS28qU2CkkdN7CvgMNHGjsBHoJDrAyZXQsY1MjGZMWSao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             "text/plain": [
-              "<IPython.core.display.HTML object>"
+              "<Figure size 1440x360 with 2 Axes>"
             ]
           },
           "metadata": {
             "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_ms_2_ 2000\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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l+7Ns9OwURqd2wZ6OIyIiInLJyMyv4O31h8nIKcfH24spwzszdXgnfH28PR3N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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
           },
-          "execution_count": 50
+          "metadata": {
+            "tags": []
+          }
         }
       ]
     },
     {
       "metadata": {
-        "id": "NhLScUoMgDN-",
-        "colab_type": "text"
-      },
-      "cell_type": "markdown",
-      "source": [
-        "***\n",
-        "***\n",
-        "__Question 8__ Implement the DQN training algorithm using a CNN (for example, 2 convolutional layers and one final fully connected layer)."
-      ]
-    },
-    {
-      "metadata": {
-        "id": "tygkQE9-gDOA",
-        "colab_type": "code",
-        "colab": {}
-      },
-      "cell_type": "code",
-      "source": [
-        "class DQN_CNN(DQN):\n",
-        "    def __init__(self, *args,lr=0.1,**kwargs):\n",
-        "        super(DQN_CNN, self).__init__(*args,**kwargs)\n",
-        "        \n",
-        "        ###### FILL IN\n",
-        "        model = Sequential()\n",
-        "        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(5, 5, self.n_state)))\n",
-        "        model.add(Conv2D(32, (3, 3), activation='relu'))\n",
-        "        model.add(Flatten())\n",
-        "        model.add(Dense(32))\n",
-        "        model.add(Dropout(0.1))\n",
-        "        model.add(Dense(4))#, activation='softmax'))\n",
-        "        \n",
-        "        model.compile(sgd(lr=lr, decay=1e-4, momentum=0.0), \"mse\")\n",
-        "        self.model = model"
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
-    {
-      "metadata": {
-        "id": "KKlrLa1OgDOL",
+        "id": "wimjQIjeRXeM",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 1717
+          "height": 102
         },
-        "outputId": "d8d11cc5-ed9c-4e38-ba86-acf615c685af"
+        "outputId": "78bcac1e-7e1b-4cf5-baab-58e926f4e46d"
       },
       "cell_type": "code",
       "source": [
-        "env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
-        "agent = DQN_CNN(size, lr=.01, epsilon = 0.1, memory_size=2000, batch_size = 32)\n",
-        "history = train(agent,env,epochs_train,prefix='cnn_train')"
+        "print('=======================')\n",
+        "print('Train on lr...')\n",
+        "m = memory_size\n",
+        "b = batch_size\n",
+        "\n",
+        "for i,l in enumerate(lr_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
+        "\n",
+        "    agent_name = 'fc_train_' + 'lr_' + str(i) + '_'\n",
+        "\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_FC(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
+        "\n",
+        "    agent_FC_train_list.append(agent_name)\n",
+        "    history_FC_train_list.append(history)"
       ],
       "execution_count": 21,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Epoch 001/100 | Loss 0.0023 | Win/lose count 0.5/4.0 (-3.5)\n",
-            "Epoch 002/100 | Loss 0.0063 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 003/100 | Loss 0.0080 | Win/lose count 7.5/5.0 (2.5)\n",
-            "Epoch 004/100 | Loss 0.0063 | Win/lose count 3.0/3.0 (0.0)\n",
-            "Epoch 005/100 | Loss 0.0088 | Win/lose count 3.0/7.0 (-4.0)\n",
-            "Epoch 006/100 | Loss 0.0073 | Win/lose count 4.5/8.0 (-3.5)\n",
-            "Epoch 007/100 | Loss 0.0107 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 008/100 | Loss 0.0023 | Win/lose count 5.5/6.0 (-0.5)\n",
-            "Epoch 009/100 | Loss 0.0093 | Win/lose count 3.5/4.0 (-0.5)\n",
-            "Epoch 010/100 | Loss 0.0074 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 011/100 | Loss 0.0063 | Win/lose count 6.5/5.0 (1.5)\n",
-            "Epoch 012/100 | Loss 0.0051 | Win/lose count 5.0/7.0 (-2.0)\n",
-            "Epoch 013/100 | Loss 0.0110 | Win/lose count 5.5/5.0 (0.5)\n",
-            "Epoch 014/100 | Loss 0.0301 | Win/lose count 4.5/4.0 (0.5)\n",
-            "Epoch 015/100 | Loss 0.0094 | Win/lose count 3.5/5.0 (-1.5)\n",
-            "Epoch 016/100 | Loss 0.0119 | Win/lose count 4.5/6.0 (-1.5)\n",
-            "Epoch 017/100 | Loss 0.0048 | Win/lose count 3.5/2.0 (1.5)\n",
-            "Epoch 018/100 | Loss 0.0036 | Win/lose count 1.5/2.0 (-0.5)\n",
-            "Epoch 019/100 | Loss 0.0042 | Win/lose count 4.0/6.0 (-2.0)\n",
-            "Epoch 020/100 | Loss 0.0017 | Win/lose count 4.5/1.0 (3.5)\n",
-            "Epoch 021/100 | Loss 0.0061 | Win/lose count 4.5/7.0 (-2.5)\n",
-            "Epoch 022/100 | Loss 0.0022 | Win/lose count 6.0/3.0 (3.0)\n",
-            "Epoch 023/100 | Loss 0.0102 | Win/lose count 4.5/4.0 (0.5)\n",
-            "Epoch 024/100 | Loss 0.0011 | Win/lose count 7.0/3.0 (4.0)\n",
-            "Epoch 025/100 | Loss 0.0025 | Win/lose count 3.0/1.0 (2.0)\n",
-            "Epoch 026/100 | Loss 0.0046 | Win/lose count 7.0/5.0 (2.0)\n",
-            "Epoch 027/100 | Loss 0.0117 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 028/100 | Loss 0.0052 | Win/lose count 3.0/2.0 (1.0)\n",
-            "Epoch 029/100 | Loss 0.0036 | Win/lose count 4.0/3.0 (1.0)\n",
-            "Epoch 030/100 | Loss 0.0007 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 031/100 | Loss 0.0009 | Win/lose count 5.0/0 (5.0)\n",
-            "Epoch 032/100 | Loss 0.0103 | Win/lose count 2.5/0 (2.5)\n",
-            "Epoch 033/100 | Loss 0.0091 | Win/lose count 4.5/5.0 (-0.5)\n",
-            "Epoch 034/100 | Loss 0.0020 | Win/lose count 5.0/5.0 (0.0)\n",
-            "Epoch 035/100 | Loss 0.0107 | Win/lose count 7.0/3.0 (4.0)\n",
-            "Epoch 036/100 | Loss 0.0057 | Win/lose count 4.5/2.0 (2.5)\n",
-            "Epoch 037/100 | Loss 0.0008 | Win/lose count 4.5/5.0 (-0.5)\n",
-            "Epoch 038/100 | Loss 0.0084 | Win/lose count 4.5/5.0 (-0.5)\n",
-            "Epoch 039/100 | Loss 0.0091 | Win/lose count 1.5/5.0 (-3.5)\n",
-            "Epoch 040/100 | Loss 0.0095 | Win/lose count 4.0/3.0 (1.0)\n",
-            "Epoch 041/100 | Loss 0.0027 | Win/lose count 6.5/3.0 (3.5)\n",
-            "Epoch 042/100 | Loss 0.0008 | Win/lose count 4.5/5.0 (-0.5)\n",
-            "Epoch 043/100 | Loss 0.0112 | Win/lose count 9.5/4.0 (5.5)\n",
-            "Epoch 044/100 | Loss 0.0086 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 045/100 | Loss 0.0022 | Win/lose count 3.5/3.0 (0.5)\n",
-            "Epoch 046/100 | Loss 0.0081 | Win/lose count 2.5/3.0 (-0.5)\n",
-            "Epoch 047/100 | Loss 0.0103 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 048/100 | Loss 0.0058 | Win/lose count 2.5/3.0 (-0.5)\n",
-            "Epoch 049/100 | Loss 0.0100 | Win/lose count 1.0/2.0 (-1.0)\n",
-            "Epoch 050/100 | Loss 0.0066 | Win/lose count 4.0/3.0 (1.0)\n",
-            "Epoch 051/100 | Loss 0.0031 | Win/lose count 2.0/3.0 (-1.0)\n",
-            "Epoch 052/100 | Loss 0.0010 | Win/lose count 2.5/8.0 (-5.5)\n",
-            "Epoch 053/100 | Loss 0.0040 | Win/lose count 0.5/3.0 (-2.5)\n",
-            "Epoch 054/100 | Loss 0.0096 | Win/lose count 4.0/3.0 (1.0)\n",
-            "Epoch 055/100 | Loss 0.0022 | Win/lose count 3.0/0 (3.0)\n",
-            "Epoch 056/100 | Loss 0.0093 | Win/lose count 1.0/0 (1.0)\n",
-            "Epoch 057/100 | Loss 0.0054 | Win/lose count 8.5/2.0 (6.5)\n",
-            "Epoch 058/100 | Loss 0.0026 | Win/lose count 1.0/3.0 (-2.0)\n",
-            "Epoch 059/100 | Loss 0.0105 | Win/lose count 1.5/3.0 (-1.5)\n",
-            "Epoch 060/100 | Loss 0.0031 | Win/lose count 4.5/9.0 (-4.5)\n",
-            "Epoch 061/100 | Loss 0.0118 | Win/lose count 4.5/3.0 (1.5)\n",
-            "Epoch 062/100 | Loss 0.0059 | Win/lose count 2.0/2.0 (0.0)\n",
-            "Epoch 063/100 | Loss 0.0179 | Win/lose count 5.5/2.0 (3.5)\n",
-            "Epoch 064/100 | Loss 0.0006 | Win/lose count 2.0/7.0 (-5.0)\n",
-            "Epoch 065/100 | Loss 0.0026 | Win/lose count 3.5/5.0 (-1.5)\n",
-            "Epoch 066/100 | Loss 0.0147 | Win/lose count 4.0/1.0 (3.0)\n",
-            "Epoch 067/100 | Loss 0.0078 | Win/lose count 8.0/4.0 (4.0)\n",
-            "Epoch 068/100 | Loss 0.0185 | Win/lose count 3.0/6.0 (-3.0)\n",
-            "Epoch 069/100 | Loss 0.0113 | Win/lose count 6.5/2.0 (4.5)\n",
-            "Epoch 070/100 | Loss 0.0048 | Win/lose count 2.0/1.0 (1.0)\n",
-            "Epoch 071/100 | Loss 0.0022 | Win/lose count 2.5/3.0 (-0.5)\n",
-            "Epoch 072/100 | Loss 0.0062 | Win/lose count 3.0/2.0 (1.0)\n",
-            "Epoch 073/100 | Loss 0.0096 | Win/lose count 6.5/0 (6.5)\n",
-            "Epoch 074/100 | Loss 0.0005 | Win/lose count 5.5/2.0 (3.5)\n",
-            "Epoch 075/100 | Loss 0.0074 | Win/lose count 2.5/2.0 (0.5)\n",
-            "Epoch 076/100 | Loss 0.0005 | Win/lose count 3.5/4.0 (-0.5)\n",
-            "Epoch 077/100 | Loss 0.0104 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 078/100 | Loss 0.0008 | Win/lose count 2.0/3.0 (-1.0)\n",
-            "Epoch 079/100 | Loss 0.0009 | Win/lose count 4.0/4.0 (0.0)\n",
-            "Epoch 080/100 | Loss 0.0078 | Win/lose count 5.0/2.0 (3.0)\n",
-            "Epoch 081/100 | Loss 0.0115 | Win/lose count 3.5/3.0 (0.5)\n",
-            "Epoch 082/100 | Loss 0.0088 | Win/lose count 3.5/1.0 (2.5)\n",
-            "Epoch 083/100 | Loss 0.0009 | Win/lose count 3.0/1.0 (2.0)\n",
-            "Epoch 084/100 | Loss 0.0025 | Win/lose count 1.5/3.0 (-1.5)\n",
-            "Epoch 085/100 | Loss 0.0168 | Win/lose count 2.5/2.0 (0.5)\n",
-            "Epoch 086/100 | Loss 0.0008 | Win/lose count 2.0/2.0 (0.0)\n",
-            "Epoch 087/100 | Loss 0.0086 | Win/lose count 6.0/6.0 (0.0)\n",
-            "Epoch 088/100 | Loss 0.0008 | Win/lose count 5.0/0 (5.0)\n",
-            "Epoch 089/100 | Loss 0.0086 | Win/lose count 6.0/4.0 (2.0)\n",
-            "Epoch 090/100 | Loss 0.0101 | Win/lose count 6.0/4.0 (2.0)\n",
-            "Epoch 091/100 | Loss 0.0080 | Win/lose count 3.5/0 (3.5)\n",
-            "Epoch 092/100 | Loss 0.0038 | Win/lose count 2.5/1.0 (1.5)\n",
-            "Epoch 093/100 | Loss 0.0040 | Win/lose count 3.0/4.0 (-1.0)\n",
-            "Epoch 094/100 | Loss 0.0049 | Win/lose count 7.0/4.0 (3.0)\n",
-            "Epoch 095/100 | Loss 0.0062 | Win/lose count 3.0/3.0 (0.0)\n",
-            "Epoch 096/100 | Loss 0.0040 | Win/lose count 4.0/1.0 (3.0)\n",
-            "Epoch 097/100 | Loss 0.0021 | Win/lose count 1.5/5.0 (-3.5)\n",
-            "Epoch 098/100 | Loss 0.0010 | Win/lose count 1.5/1.0 (0.5)\n",
-            "Epoch 099/100 | Loss 0.0008 | Win/lose count 6.5/8.0 (-1.5)\n",
-            "Epoch 100/100 | Loss 0.0022 | Win/lose count 4.0/6.0 (-2.0)\n"
+            "=======================\n",
+            "Train on lr...\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.001 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.0001 batch_size=32\n"
           ],
           "name": "stdout"
         }
@@ -1713,24 +1625,36 @@
     },
     {
       "metadata": {
-        "id": "l9ub9LHHFNhd",
+        "id": "1nyPTminRzF7",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 349
+          "height": 1064
         },
-        "outputId": "9988524c-0e16-4f56-b95c-906797c84c55"
+        "outputId": "5f084991-be91-4af5-b10b-74d540e6a48e"
       },
       "cell_type": "code",
       "source": [
-        "visualization_score(history)"
+        "print(agent_FC_train_list[-3],lr_list[-3])\n",
+        "visualization_score(history_FC_train_list[-3])\n",
+        "print(agent_FC_train_list[-2],lr_list[-2])\n",
+        "visualization_score(history_FC_train_list[-2])\n",
+        "print(agent_FC_train_list[-1],lr_list[-1])\n",
+        "visualization_score(history_FC_train_list[-1])"
       ],
       "execution_count": 22,
       "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_lr_0_ 0.01\n"
+          ],
+          "name": "stdout"
+        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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JjIwmJqYf9957J2Bwww1THfclRETE4fKKK9mZmsMPqbmczC0DwNPNiTED2nNt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\niIiIdEgNJ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HRRMREWmTCstreeXf6dhsdu6eHEPXEG9XRxIRERFxiYN5laxKPsL2fYXY7RDi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             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -1738,294 +1662,86 @@
           "metadata": {
             "tags": []
           }
-        }
-      ]
-    },
-    {
-      "metadata": {
-        "id": "qe7FjLrPixTN",
-        "colab_type": "code",
-        "outputId": "05ba1f6a-9301-425d-c27b-473720ce3fc6",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 293
-        }
-      },
-      "cell_type": "code",
-      "source": [
-        "HTML(display_videos('cnn_train100.mp4'))"
-      ],
-      "execution_count": 23,
-      "outputs": [
+        },
         {
-          "output_type": "execute_result",
+          "output_type": "stream",
+          "text": [
+            "fc_train_lr_1_ 0.001\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
           "data": {
-            "text/html": [
-              "<video alt=\"test\" controls>\n",
-              "                <source 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P1zEYDDg7O7Ngwf9SUVHBH//4JB9/vAij0cg999xHVNQAYmLiuO++XwAmbr55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             "text/plain": [
-              "<IPython.core.display.HTML object>"
+              "<Figure size 1440x360 with 2 Axes>"
             ]
           },
           "metadata": {
             "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_lr_2_ 0.0001\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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SERERERERaRROnM7gm7TF7MnfjwED3YM7M/SGm/B19rF3tDpL11rVMY4OJu4f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\nN98MnBnFdMsttwBnpseNGTOG4uLiTy0sORxtXzz4eURFWaipae6z15e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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
           },
-          "execution_count": 23
+          "metadata": {
+            "tags": []
+          }
         }
       ]
     },
     {
       "metadata": {
-        "id": "XHvq1M8sgDOf",
-        "colab_type": "text"
-      },
-      "cell_type": "markdown",
-      "source": [
-        "***\n",
-        "***\n",
-        "__Question 9__ Test both algorithms and compare their performances. Which issue(s) do you observe? Observe also different behaviors by changing the temperature."
-      ]
-    },
-    {
-      "metadata": {
-        "id": "mSrF4ANbgDOk",
+        "id": "Ld5xoWRJRYBN",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 3485
+          "height": 102
         },
-        "outputId": "0700a7dd-79ee-4c55-b048-2d821d682417"
+        "outputId": "f7e9548e-a804-4410-fabc-99b05a37c48b"
       },
       "cell_type": "code",
       "source": [
-        "epochs_test = 100\n",
-        "epsilon_test = 0.1 # 0.1\n",
-        "temperature_test = 0.3\n",
+        "print('=======================')\n",
+        "print('Train on batch_size...')\n",
+        "l = lr\n",
+        "m = memory_size\n",
         "\n",
-        "env = Environment(grid_size=size, max_time=T,temperature=temperature_test)\n",
+        "for i,b in enumerate(batch_size_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
         "\n",
-        "agent_cnn = DQN_CNN(size, lr=.1, epsilon = epsilon_test, memory_size=2000, batch_size = 32)\n",
-        "agent_cnn.load(name_weights='cnn_trainmodel.h5',name_model='cnn_trainmodel.json')\n",
+        "    agent_name = 'fc_train_' + 'bs_' + str(i) + '_'\n",
         "\n",
-        "agent_fc = DQN_FC(size, lr=.1, epsilon = epsilon_test, memory_size=2000, batch_size = 32)\n",
-        "agent_cnn.load(name_weights='fc_trainmodel.h5',name_model='fc_trainmodel.json')\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_FC(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
         "\n",
-        "print('Test of the CNN')\n",
-        "history_cnn = test(agent_cnn,env,epochs_test,prefix='cnn_test')\n",
-        "print('Test of the FC')\n",
-        "history_fc = test(agent_fc,env,epochs_test,prefix='fc_test')"
+        "    agent_FC_train_list.append(agent_name)\n",
+        "    history_FC_train_list.append(history)"
       ],
-      "execution_count": 37,
+      "execution_count": 23,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Test of the CNN\n",
-            "Step 1: Win/lose count 11.0/5.0. Average score (3.0)\n",
-            "Step 2: Win/lose count 11.0/2.0. Average score (5.0)\n",
-            "Step 3: Win/lose count 6.5/1.0. Average score (5.125)\n",
-            "Step 4: Win/lose count 7.0/4.0. Average score (4.7)\n",
-            "Step 5: Win/lose count 2.0/1.0. Average score (4.083333333333333)\n",
-            "Step 6: Win/lose count 4.5/4.0. Average score (3.5714285714285716)\n",
-            "Step 7: Win/lose count 9.5/3.0. Average score (3.9375)\n",
-            "Step 8: Win/lose count 11.0/3.0. Average score (4.388888888888889)\n",
-            "Step 9: Win/lose count 6.0/1.0. Average score (4.45)\n",
-            "Step 10: Win/lose count 4.0/2.0. Average score (4.2272727272727275)\n",
-            "Step 11: Win/lose count 8.5/2.0. Average score (4.416666666666667)\n",
-            "Step 12: Win/lose count 2.5/2.0. Average score (4.115384615384615)\n",
-            "Step 13: Win/lose count 5.5/1.0. Average score (4.142857142857143)\n",
-            "Step 14: Win/lose count 9.5/4.0. Average score (4.233333333333333)\n",
-            "Step 15: Win/lose count 4.0/3.0. Average score (4.03125)\n",
-            "Step 16: Win/lose count 6.0/4.0. Average score (3.911764705882353)\n",
-            "Step 17: Win/lose count 7.0/2.0. Average score (3.9722222222222223)\n",
-            "Step 18: Win/lose count 10.0/2.0. Average score (4.184210526315789)\n",
-            "Step 19: Win/lose count 4.5/3.0. Average score (4.05)\n",
-            "Step 20: Win/lose count 5.5/3.0. Average score (3.9761904761904763)\n",
-            "Step 21: Win/lose count 12.0/2.0. Average score (4.25)\n",
-            "Step 22: Win/lose count 6.5/2.0. Average score (4.260869565217392)\n",
-            "Step 23: Win/lose count 8.5/3.0. Average score (4.3125)\n",
-            "Step 24: Win/lose count 5.0/2.0. Average score (4.26)\n",
-            "Step 25: Win/lose count 8.5/3.0. Average score (4.3076923076923075)\n",
-            "Step 26: Win/lose count 7.0/1.0. Average score (4.37037037037037)\n",
-            "Step 27: Win/lose count 5.0/1.0. Average score (4.357142857142857)\n",
-            "Step 28: Win/lose count 3.5/4.0. Average score (4.189655172413793)\n",
-            "Step 29: Win/lose count 3.0/1.0. Average score (4.116666666666666)\n",
-            "Step 30: Win/lose count 9.0/2.0. Average score (4.209677419354839)\n",
-            "Step 31: Win/lose count 7.0/2.0. Average score (4.234375)\n",
-            "Step 32: Win/lose count 3.5/1.0. Average score (4.181818181818182)\n",
-            "Step 33: Win/lose count 7.5/2.0. Average score (4.220588235294118)\n",
-            "Step 34: Win/lose count 3.5/1.0. Average score (4.171428571428572)\n",
-            "Step 35: Win/lose count 6.0/3.0. Average score (4.138888888888889)\n",
-            "Step 36: Win/lose count 4.0/1.0. Average score (4.108108108108108)\n",
-            "Step 37: Win/lose count 1.0/0. Average score (4.026315789473684)\n",
-            "Step 38: Win/lose count 1.0/1.0. Average score (3.923076923076923)\n",
-            "Step 39: Win/lose count 10.0/1.0. Average score (4.05)\n",
-            "Step 40: Win/lose count 11.5/2.0. Average score (4.182926829268292)\n",
-            "Step 41: Win/lose count 8.5/2.0. Average score (4.238095238095238)\n",
-            "Step 42: Win/lose count 7.5/3.0. Average score (4.244186046511628)\n",
-            "Step 43: Win/lose count 5.0/1.0. Average score (4.238636363636363)\n",
-            "Step 44: Win/lose count 7.0/5.0. Average score (4.188888888888889)\n",
-            "Step 45: Win/lose count 4.5/2.0. Average score (4.1521739130434785)\n",
-            "Step 46: Win/lose count 7.5/4.0. Average score (4.138297872340425)\n",
-            "Step 47: Win/lose count 7.0/0. Average score (4.197916666666667)\n",
-            "Step 48: Win/lose count 8.0/1.0. Average score (4.255102040816326)\n",
-            "Step 49: Win/lose count 5.0/2.0. Average score (4.23)\n",
-            "Step 50: Win/lose count 9.0/0. Average score (4.323529411764706)\n",
-            "Step 51: Win/lose count 12.0/4.0. Average score (4.394230769230769)\n",
-            "Step 52: Win/lose count 4.5/2.0. Average score (4.3584905660377355)\n",
-            "Step 53: Win/lose count 5.5/3.0. Average score (4.324074074074074)\n",
-            "Step 54: Win/lose count 6.0/1.0. Average score (4.336363636363636)\n",
-            "Step 55: Win/lose count 5.5/4.0. Average score (4.285714285714286)\n",
-            "Step 56: Win/lose count 6.0/1.0. Average score (4.298245614035087)\n",
-            "Step 57: Win/lose count 6.5/4.0. Average score (4.267241379310345)\n",
-            "Step 58: Win/lose count 4.5/2.0. Average score (4.237288135593221)\n",
-            "Step 59: Win/lose count 3.5/2.0. Average score (4.191666666666666)\n",
-            "Step 60: Win/lose count 7.0/3.0. Average score (4.188524590163935)\n",
-            "Step 61: Win/lose count 7.5/1.0. Average score (4.225806451612903)\n",
-            "Step 62: Win/lose count 7.0/2.0. Average score (4.238095238095238)\n",
-            "Step 63: Win/lose count 5.5/1.0. Average score (4.2421875)\n",
-            "Step 64: Win/lose count 10.5/2.0. Average score (4.3076923076923075)\n",
-            "Step 65: Win/lose count 9.5/2.0. Average score (4.356060606060606)\n",
-            "Step 66: Win/lose count 6.0/3.0. Average score (4.335820895522388)\n",
-            "Step 67: Win/lose count 3.5/7.0. Average score (4.220588235294118)\n",
-            "Step 68: Win/lose count 3.0/0. Average score (4.202898550724638)\n",
-            "Step 69: Win/lose count 3.5/1.0. Average score (4.178571428571429)\n",
-            "Step 70: Win/lose count 3.0/5.0. Average score (4.091549295774648)\n",
-            "Step 71: Win/lose count 5.5/0. Average score (4.111111111111111)\n",
-            "Step 72: Win/lose count 2.0/1.0. Average score (4.068493150684931)\n",
-            "Step 73: Win/lose count 8.5/6.0. Average score (4.047297297297297)\n",
-            "Step 74: Win/lose count 12.0/3.0. Average score (4.113333333333333)\n",
-            "Step 75: Win/lose count 6.5/2.0. Average score (4.118421052631579)\n",
-            "Step 76: Win/lose count 9.0/3.0. Average score (4.142857142857143)\n",
-            "Step 77: Win/lose count 6.5/3.0. Average score (4.134615384615385)\n",
-            "Step 78: Win/lose count 1.5/1.0. Average score (4.0886075949367084)\n",
-            "Step 79: Win/lose count 9.0/0. Average score (4.15)\n",
-            "Step 80: Win/lose count 7.0/2.0. Average score (4.160493827160494)\n",
-            "Step 81: Win/lose count 5.5/2.0. Average score (4.152439024390244)\n",
-            "Step 82: Win/lose count 3.5/3.0. Average score (4.108433734939759)\n",
-            "Step 83: Win/lose count 4.0/1.0. Average score (4.095238095238095)\n",
-            "Step 84: Win/lose count 9.5/3.0. Average score (4.123529411764705)\n",
-            "Step 85: Win/lose count 5.0/6.0. Average score (4.063953488372093)\n",
-            "Step 86: Win/lose count 2.0/1.0. Average score (4.028735632183908)\n",
-            "Step 87: Win/lose count 6.5/1.0. Average score (4.045454545454546)\n",
-            "Step 88: Win/lose count 3.0/2.0. Average score (4.01123595505618)\n",
-            "Step 89: Win/lose count 11.5/3.0. Average score (4.061111111111111)\n",
-            "Step 90: Win/lose count 3.0/3.0. Average score (4.016483516483516)\n",
-            "Step 91: Win/lose count 4.0/0. Average score (4.016304347826087)\n",
-            "Step 92: Win/lose count 4.0/3.0. Average score (3.9838709677419355)\n",
-            "Step 93: Win/lose count 6.0/4.0. Average score (3.9627659574468086)\n",
-            "Step 94: Win/lose count 6.5/4.0. Average score (3.9473684210526314)\n",
-            "Step 95: Win/lose count 1.5/2.0. Average score (3.9010416666666665)\n",
-            "Step 96: Win/lose count 5.5/6.0. Average score (3.8556701030927836)\n",
-            "Step 97: Win/lose count 3.0/1.0. Average score (3.836734693877551)\n",
-            "Step 98: Win/lose count 6.5/3.0. Average score (3.8333333333333335)\n",
-            "Step 99: Win/lose count 3.0/7.0. Average score (3.755)\n",
-            "Step 100: Win/lose count 6.5/2.0. Average score (3.762376237623762)\n",
-            "Final score: 3.8\n",
-            "Test of the FC\n",
-            "Step 1: Win/lose count 2.5/5.0. Average score (-1.25)\n",
-            "Step 2: Win/lose count 3.0/7.0. Average score (-2.1666666666666665)\n",
-            "Step 3: Win/lose count 0.5/2.0. Average score (-2.0)\n",
-            "Step 4: Win/lose count 4.5/3.0. Average score (-1.3)\n",
-            "Step 5: Win/lose count 4.5/9.0. Average score (-1.8333333333333333)\n",
-            "Step 6: Win/lose count 6.5/14.0. Average score (-2.642857142857143)\n",
-            "Step 7: Win/lose count 2.5/5.0. Average score (-2.625)\n",
-            "Step 8: Win/lose count 4.5/6.0. Average score (-2.5)\n",
-            "Step 9: Win/lose count 3.0/4.0. Average score (-2.35)\n",
-            "Step 10: Win/lose count 4.0/10.0. Average score (-2.6818181818181817)\n",
-            "Step 11: Win/lose count 4.5/6.0. Average score (-2.5833333333333335)\n",
-            "Step 12: Win/lose count 3.5/3.0. Average score (-2.3461538461538463)\n",
-            "Step 13: Win/lose count 5.5/4.0. Average score (-2.0714285714285716)\n",
-            "Step 14: Win/lose count 2.0/2.0. Average score (-1.9333333333333333)\n",
-            "Step 15: Win/lose count 4.0/8.0. Average score (-2.0625)\n",
-            "Step 16: Win/lose count 2.5/5.0. Average score (-2.088235294117647)\n",
-            "Step 17: Win/lose count 3.5/9.0. Average score (-2.2777777777777777)\n",
-            "Step 18: Win/lose count 5.0/11.0. Average score (-2.473684210526316)\n",
-            "Step 19: Win/lose count 1.0/3.0. Average score (-2.45)\n",
-            "Step 20: Win/lose count 1.5/2.0. Average score (-2.357142857142857)\n",
-            "Step 21: Win/lose count 6.5/9.0. Average score (-2.3636363636363638)\n",
-            "Step 22: Win/lose count 2.5/4.0. Average score (-2.3260869565217392)\n",
-            "Step 23: Win/lose count 5.5/7.0. Average score (-2.2916666666666665)\n",
-            "Step 24: Win/lose count 4.5/7.0. Average score (-2.3)\n",
-            "Step 25: Win/lose count 5.5/9.0. Average score (-2.3461538461538463)\n",
-            "Step 26: Win/lose count 2.5/10.0. Average score (-2.537037037037037)\n",
-            "Step 27: Win/lose count 4.0/2.0. Average score (-2.375)\n",
-            "Step 28: Win/lose count 1.0/3.0. Average score (-2.3620689655172415)\n",
-            "Step 29: Win/lose count 4.0/8.0. Average score (-2.4166666666666665)\n",
-            "Step 30: Win/lose count 7.0/4.0. Average score (-2.2419354838709675)\n",
-            "Step 31: Win/lose count 5.0/13.0. Average score (-2.421875)\n",
-            "Step 32: Win/lose count 4.5/6.0. Average score (-2.393939393939394)\n",
-            "Step 33: Win/lose count 3.0/6.0. Average score (-2.411764705882353)\n",
-            "Step 34: Win/lose count 5.5/12.0. Average score (-2.5285714285714285)\n",
-            "Step 35: Win/lose count 3.5/2.0. Average score (-2.4166666666666665)\n",
-            "Step 36: Win/lose count 4.5/3.0. Average score (-2.310810810810811)\n",
-            "Step 37: Win/lose count 2.5/4.0. Average score (-2.289473684210526)\n",
-            "Step 38: Win/lose count 5.0/9.0. Average score (-2.3333333333333335)\n",
-            "Step 39: Win/lose count 4.0/8.0. Average score (-2.375)\n",
-            "Step 40: Win/lose count 3.0/6.0. Average score (-2.3902439024390243)\n",
-            "Step 41: Win/lose count 0.5/4.0. Average score (-2.4166666666666665)\n",
-            "Step 42: Win/lose count 3.0/5.0. Average score (-2.4069767441860463)\n",
-            "Step 43: Win/lose count 3.0/8.0. Average score (-2.465909090909091)\n",
-            "Step 44: Win/lose count 3.0/5.0. Average score (-2.4555555555555557)\n",
-            "Step 45: Win/lose count 1.0/6.0. Average score (-2.510869565217391)\n",
-            "Step 46: Win/lose count 4.0/3.0. Average score (-2.4361702127659575)\n",
-            "Step 47: Win/lose count 2.5/7.0. Average score (-2.4791666666666665)\n",
-            "Step 48: Win/lose count 1.5/8.0. Average score (-2.561224489795918)\n",
-            "Step 49: Win/lose count 0.5/2.0. Average score (-2.54)\n",
-            "Step 50: Win/lose count 1.5/7.0. Average score (-2.5980392156862746)\n",
-            "Step 51: Win/lose count 10.5/7.0. Average score (-2.480769230769231)\n",
-            "Step 52: Win/lose count 2.5/5.0. Average score (-2.481132075471698)\n",
-            "Step 53: Win/lose count 2.5/5.0. Average score (-2.4814814814814814)\n",
-            "Step 54: Win/lose count 4.5/8.0. Average score (-2.5)\n",
-            "Step 55: Win/lose count 2.0/8.0. Average score (-2.5625)\n",
-            "Step 56: Win/lose count 2.5/7.0. Average score (-2.5964912280701755)\n",
-            "Step 57: Win/lose count 3.5/1.0. Average score (-2.5086206896551726)\n",
-            "Step 58: Win/lose count 1.0/2.0. Average score (-2.483050847457627)\n",
-            "Step 59: Win/lose count 4.5/2.0. Average score (-2.4)\n",
-            "Step 60: Win/lose count 2.0/3.0. Average score (-2.377049180327869)\n",
-            "Step 61: Win/lose count 5.0/8.0. Average score (-2.3870967741935485)\n",
-            "Step 62: Win/lose count 4.0/7.0. Average score (-2.3968253968253967)\n",
-            "Step 63: Win/lose count 7.0/4.0. Average score (-2.3125)\n",
-            "Step 64: Win/lose count 3.0/5.0. Average score (-2.3076923076923075)\n",
-            "Step 65: Win/lose count 4.0/5.0. Average score (-2.287878787878788)\n",
-            "Step 66: Win/lose count 4.5/10.0. Average score (-2.3358208955223883)\n",
-            "Step 67: Win/lose count 4.5/6.0. Average score (-2.323529411764706)\n",
-            "Step 68: Win/lose count 2.5/9.0. Average score (-2.3840579710144927)\n",
-            "Step 69: Win/lose count 3.5/9.0. Average score (-2.4285714285714284)\n",
-            "Step 70: Win/lose count 3.0/11.0. Average score (-2.507042253521127)\n",
-            "Step 71: Win/lose count 5.0/5.0. Average score (-2.4722222222222223)\n",
-            "Step 72: Win/lose count 1.5/10.0. Average score (-2.5547945205479454)\n",
-            "Step 73: Win/lose count 2.5/0. Average score (-2.4864864864864864)\n",
-            "Step 74: Win/lose count 1.5/3.0. Average score (-2.473333333333333)\n",
-            "Step 75: Win/lose count 4.5/1.0. Average score (-2.3947368421052633)\n",
-            "Step 76: Win/lose count 0.5/4.0. Average score (-2.409090909090909)\n",
-            "Step 77: Win/lose count 5.5/7.0. Average score (-2.3974358974358974)\n",
-            "Step 78: Win/lose count 1.0/3.0. Average score (-2.392405063291139)\n",
-            "Step 79: Win/lose count 3.0/4.0. Average score (-2.375)\n",
-            "Step 80: Win/lose count 5.0/16.0. Average score (-2.4814814814814814)\n",
-            "Step 81: Win/lose count 0.5/4.0. Average score (-2.4939024390243905)\n",
-            "Step 82: Win/lose count 2.5/10.0. Average score (-2.5542168674698793)\n",
-            "Step 83: Win/lose count 5.0/9.0. Average score (-2.5714285714285716)\n",
-            "Step 84: Win/lose count 1.0/4.0. Average score (-2.5764705882352943)\n",
-            "Step 85: Win/lose count 3.0/2.0. Average score (-2.5348837209302326)\n",
-            "Step 86: Win/lose count 3.0/9.0. Average score (-2.574712643678161)\n",
-            "Step 87: Win/lose count 1.5/4.0. Average score (-2.5738636363636362)\n",
-            "Step 88: Win/lose count 2.5/1.0. Average score (-2.5280898876404496)\n",
-            "Step 89: Win/lose count 0.5/7.0. Average score (-2.5722222222222224)\n",
-            "Step 90: Win/lose count 1.0/5.0. Average score (-2.587912087912088)\n",
-            "Step 91: Win/lose count 1.5/4.0. Average score (-2.5869565217391304)\n",
-            "Step 92: Win/lose count 3.0/10.0. Average score (-2.6344086021505375)\n",
-            "Step 93: Win/lose count 2.0/8.0. Average score (-2.6702127659574466)\n",
-            "Step 94: Win/lose count 5.0/4.0. Average score (-2.6315789473684212)\n",
-            "Step 95: Win/lose count 8.5/20.0. Average score (-2.7239583333333335)\n",
-            "Step 96: Win/lose count 5.0/9.0. Average score (-2.7371134020618557)\n",
-            "Step 97: Win/lose count 2.5/3.0. Average score (-2.7142857142857144)\n",
-            "Step 98: Win/lose count 3.0/4.0. Average score (-2.696969696969697)\n",
-            "Step 99: Win/lose count 2.5/5.0. Average score (-2.695)\n",
-            "Step 100: Win/lose count 5.5/7.0. Average score (-2.6831683168316833)\n",
-            "Final score: -2.71\n"
+            "=======================\n",
+            "Train on batch_size...\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=8\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=16\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n"
           ],
           "name": "stdout"
         }
@@ -2033,24 +1749,459 @@
     },
     {
       "metadata": {
-        "id": "oCCfkLopFGRX",
+        "id": "UqIK_wR9EvvD",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 349
+          "height": 1064
         },
-        "outputId": "27fa577d-d258-434f-a836-2f27b3e96661"
+        "outputId": "ad51358d-b8e2-448d-b4bf-b9ea1e56c9d4"
       },
       "cell_type": "code",
       "source": [
-        "visualization_score(history_cnn)"
+        "print(agent_FC_train_list[-3],batch_size_list[-3])\n",
+        "visualization_score(history_FC_train_list[-3])\n",
+        "print(agent_FC_train_list[-2],batch_size_list[-2])\n",
+        "visualization_score(history_FC_train_list[-2])\n",
+        "print(agent_FC_train_list[-1],batch_size_list[-1])\n",
+        "visualization_score(history_FC_train_list[-1])"
+      ],
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_bs_0_ 8\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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Zjm7Dhg3k5uayYcMGCgoKcHNzw8vL66TFSsLCwigpKWk5r6ioiKSkpLNeXyvh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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_bs_1_ 16\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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qb2pj0Yp9bDtQhpuLmTmpUYxNCMPBoWcsjH0mVEASERHpQdL3lNDY0s605P44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\nWvT/AQijc6eB/VhHAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "fc_train_bs_2_ 32\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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7uzurVq1iyZIluLi4MG3aNKZOners2CIiIhdUVWNmX0YB+zILScssoqK6HgBf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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "SOcW1b29kG0p",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 293
+        },
+        "outputId": "29f43a4c-7d15-45fc-f829-2d8c9876f9c1"
+      },
+      "cell_type": "code",
+      "source": [
+        "HTML(display_videos(agent_FC_train_list[-1]+'100.mp4'))"
       ],
-      "execution_count": 38,
+      "execution_count": 25,
       "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<video alt=\"test\" controls>\n",
+              "                <source 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type=\"video/mp4\" />\n",
+              "             </video>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 25
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YWMAUgweM-HW",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Conclusion**\n",
+        "\n",
+        "For the Full Connected Architecture (FC), we privilegy a large batch set (32), a not-too small learning rate (0.01) and a reasonable memory capacity (200)."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "NhLScUoMgDN-",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "***\n",
+        "__Question 8__ Implement the DQN training algorithm using a CNN (for example, 2 convolutional layers and one final fully connected layer)."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tygkQE9-gDOA",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "class DQN_CNN(DQN):\n",
+        "    def __init__(self, *args,lr=0.1,**kwargs):\n",
+        "        super(DQN_CNN, self).__init__(*args,**kwargs)\n",
+        "        \n",
+        "        ###### FILL IN\n",
+        "        model = Sequential()\n",
+        "        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(5, 5, self.n_state)))\n",
+        "        model.add(Conv2D(32, (3, 3), activation='relu'))\n",
+        "        model.add(Flatten())\n",
+        "        model.add(Dense(32))\n",
+        "        model.add(Dropout(0.1))\n",
+        "        model.add(Dense(4))#, activation='softmax'))\n",
+        "        \n",
+        "        model.compile(sgd(lr=lr, decay=1e-4, momentum=0.0), \"mse\")\n",
+        "        self.model = model"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "RjzKjgPgOX1Z",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "We use different learning rate, batch size or memory size parameters.\n",
+        "\n",
+        "Our references parameters are:\n",
+        "- memory_size = 2000\n",
+        "- lr = .01\n",
+        "- batch_size = 32\n",
+        "\n",
+        "And we test each parameters with a set of values:\n",
+        "- memory_size_list = [20, 200, 2000]\n",
+        "- lr_list = [.01, .001, .0001]\n",
+        "- batch_size_list = [8, 16, 32]"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "AJlIdyCbOYc8",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Experiments**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OjXoKzIeZi5L",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "memory_size = 2000\n",
+        "lr = .01\n",
+        "batch_size = 32\n",
+        "\n",
+        "memory_size_list = [20, 200, 2000]\n",
+        "lr_list = [.01, .001, .0001]\n",
+        "batch_size_list = [8, 16, 32]\n",
+        "\n",
+        "agent_CNN_train_list = list()\n",
+        "history_CNN_train_list = list()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "i7UFMUG9RKqQ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 102
+        },
+        "outputId": "04601ad2-ea91-4bc8-c3b1-c476e42fa418"
+      },
+      "cell_type": "code",
+      "source": [
+        "print('=======================')\n",
+        "print('Train on memory_size...')\n",
+        "l = lr\n",
+        "b = batch_size\n",
+        "\n",
+        "for i,m in enumerate(memory_size_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
+        "\n",
+        "    agent_name = 'cnn_train_' + 'ms_' + str(i) + '_'\n",
+        "\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_CNN(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
+        "\n",
+        "    agent_CNN_train_list.append(agent_name)\n",
+        "    history_CNN_train_list.append(history)"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=======================\n",
+            "Train on memory_size...\n",
+            "New Game: memory_size=20 lr=0.01 batch_size=32\n",
+            "New Game: memory_size=200 lr=0.01 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "F9R75M1vaCgq",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1064
+        },
+        "outputId": "bfe86423-5fa7-49b6-defd-3900d1c20f3a"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(agent_CNN_train_list[-3],memory_size_list[-3])\n",
+        "visualization_score(history_CNN_train_list[-3])\n",
+        "print(agent_CNN_train_list[-2],memory_size_list[-2])\n",
+        "visualization_score(history_CNN_train_list[-2])\n",
+        "print(agent_CNN_train_list[-1],memory_size_list[-1])\n",
+        "visualization_score(history_CNN_train_list[-1])"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_ms_0_ 20\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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/+tOfKCoqIjg4uOH84OBgzGbzOdvUGKz1UH87nvrcsdTfjqX+dixnjb9aZAKpKbm6ujg7\nhDZHfe5Y6m/HUn87lvrb8dTnzdeHH37I7t27eeCBB3jkkUcIDAykd+/evPHGG7zyyiv079//tPMv\npKpBUJB3k/6bK2noWOpvx1OfO5b627HU347ljP5WAklERESkFcnMzCQkJIT27dvTu3dvrFYrPXv2\nJCQkBID4+Hgef/xxEhISKCoqariusLCQuLi4c7bdlE+XTSa/Jp3hJKdTfzue+tyx1N+Opf52rKbs\n73MlpoxNckcRERERcYpt27axcOFCAIqKiqiqqmL+/Pnk5OQAkJKSQo8ePejXrx8ZGRmUlZVRWVlJ\namoqgwYNcmboIiIi0oxpBpKIiIhIKzJz5kweffRRkpKSqKmpYf78+Xh7ezNv3jy8vLzw9vbm6aef\nxtPTk9///vfMmjULg8HA3LlzGwpqi4iIiPwvhyeQUlJSuO++++jRowcAPXv25Fe/+hUPPvggVqsV\nk8nEc889h7u7u6NDExEREWnxPD09ef755884vnTp0jOOJSYmkpiY6IiwREREpIVzygykIUOG8Pe/\n/73h/R//+EeSkpKYMGECCxYsIDk5maSkJGeEJiIiIiIiIiIi/6NZ1EBKSUlh7NixAIwZM4bNmzc7\nOSIREREREREREfmRU2YgZWdn8+tf/5qTJ09yzz33UF1d3bBkLSQkBLPZfM7rtYVs66M+dyz1t2Op\nvx1L/e146nMRERGR1s/hCaTOnTtzzz33MGHCBHJycrj11luxWq0Nn9vt9vO20Zy3kF269D+sXr0S\nd3d3amtrmD17LoMHD23ECFsfbfnoWOpvx1J/O5b62/GctY2syI9uvXUGTz/9PJGRHQD45S+nM3fu\nfQwfPhKAP/7xD+zYsZ3ly7/Aw8PTmaGKiIi0aA5PIIWHhzNx4kQAoqKiCA0NJSMjg5qaGjw9PSko\nKCAsLMzRYTWKvLzjfPrpMv7977dxdXUlJ+cof/3rk0ogiYiIiDSRAQMGkZaWSmRkB0pLS6muriYt\nbUdDAmnXrkw++WSlkkciIiKXyeEJpBUrVmA2m5k1axZms5ni4mKmTp3K6tWrmTRpEmvWrGHUqFGO\nDqtRVFRUUFdXS319Pa6urnTsGMUrr7zBvn17eP75v2I0GoiJ6cfcufdx4EA2Cxb8FYPBgLe3D489\n9jjZ2fv58MN3qaqq4p57fkdBQR4ffvguLi6u9OrVm3vv/Z2zv6KIiAgANXUWvs3I57qruzs7FGnj\n+vcfxLffbuLaa29g5840EhImsnNnGgCHDx8iIiKCW265ibffXsILLzxLaKiJvXt3U1CQz/z5T9Kr\nV7STv4GIiMiFO5B7kvRDJ4jtHITBYHDovR1eRDs+Pp6tW7eSlJTEnDlzePzxx/nd737HsmXLSEpK\norS0lMmTJzs6rEbRo0dPevfuw/TpN/DUU4/z5ZdrsVgsvPji33jggUf4xz8WcuJEMfn5ebz00t+Y\nM+c+XnnlDeLiBvDRRx8C/JBYeoWoqE4sXvwmL730Oq+88gaFhQUNgyERERFnstvtvPnZbt5bu4+M\n7CJnhyNtXP/+AxrGSOnpOxg0aAhWq5Xa2hrS0lLp33/QaefX1dWxYMErTJ8+k1WrPndGyCIiIhet\nsLSa15Zl8tQ723k1eSc1ddbzX9TIHD4DydfXl9dff/2M44sWLWq0e/xnfTZb9xRe0rUuLgas1jPr\nMA2ODuOm+PM/Zf3Tn/7M4cOH+P77zbz//tssW5bM0aOH6d69R8PncOqJWJ8+McCpqdeLFr1B//4D\n6d69B+7u7uzfv4+Cgnzuv/8eACorK8jPzyc29pK+loiIyAUrKq1m58FiRsW2x+0sm1as/j6H7fvM\n9OoYyJArwjlxotIJUUpz5IwxmL9/AF5eXpjNhezalcns2b/hiiv6kJWVyc6daUyceD1r1nzRcH6/\nfv0BMJnC2bUr65JiFRERcZSqmno+/e4wX24/hsVqp2uEP7+5sR9eHo7fE80pu7C1Vna7nbq6Ojp3\n7kLnzl248cYZ3HzzNEpLS895ncVSj9F4ajKYm5vbD3+fWra2YMErTR63iIjIj6pqLPxtSRqFJdWk\n7Crg3htj8fVya/h879ESkjccIMDXnV9P6oOLi8MnM4ucYcCAQaSkbMZgMODh4UlsbBwZGens2pXF\nQw89etq5Li7/TYpeyOYtIiIijlZvsZJ1uITUvWZS95mpqrUQ4u/JtNHdGNI7jLAwf6dsHNMqE0g3\nxXe/oNlCZ3M5u8l89tly0tJSeeyxJzAYDFRWVmCz2ejffyBZWZn06RPD00//mV/84ha6dOlGZuZO\nYmJi2bEjlV69ep/WVlRUZw4fPkRJyQmCgoJ5881/csMNUzCZWmaBcRERaf7sdjsLV+6msKSasEAv\n9h87yVNvb2PeTf0ID/LmZEUtry8/NWPjN5NiCPD1cHLE0tw4awzWv/8gFi9+k/79BwAQGxvH+++/\nQ2hoqIpni4hIi2Cx2kjPLmbrngLSDxRT+8MStQBfd6YN78b4QR3OOjPckVplAslZJk68niNHDjN7\n9m14eXljsViYN+8BwsPb8be/PQ1Anz596dy5C/Pm/aGhiLafnx+PPPL/2Lt3T0Nbnp6e3Hff7/nD\nH+7D3d2NHj16ERpqctZXExGRNmD19zmk7jMTHRXI/TPiWPb1IVZuOcJTb29n7pQYPvn6ECcr65gR\n352eHQOdHa5Ig7i4ATz66APcdtudAAQFBVNWdpJx4xKcHJmIiMi5FZVWszH9ON/szONkZR0ApkBP\nBsZFMqCXia4R/hgdXCz75xjsLXDublNO1bqcp19yadTnjqX+diz1t2Opvy/d3qMlPPdBGn4+bjx+\n++CG2UUb03J5Z/U+bD8MFwb2MjFnckzDrh9N2ecmk1+TtCuXTmOw1kP97Xjqc8dSfzuW+vviFZRU\n8d7afWQdPIEd8PJwZURMO0bFtqdjmO85d1hz1vhLM5BERETauNJzLE27Oi6SEH9PXluWSaCvB3dO\n7O3wLWNFREREWpOTFbU8/2EaRSdr6B4ZwNVxEQyKDsPDzblL1M5HCSQREZE2zGaz8/ryrHMuTYvp\nGsLf5ozAxWjEw715D2xEREREmrPqWgsvfJRO0ckaJo3swqSRXZwd0gVTAklERKQN23u0hH05pcR1\nD+WawR1/9jxvT7ef/UxEREREzs9itfHqJxkcLajgqn4R3HBlZ2eHdFG0966IiEgbln6gGID4gZFa\nmiYiIiLSRGw/7Ha763AJcd1DuSWhZ4sbe2kGkoiISBuWcbAYdzcjvbSrmoiIiEiTOFlRy6ffHWZL\nVgHdIv25e1IfXIwtbz6PEkgiIiJtVGFpNXnFVcR1D8XNVbWNRERERBpLUWk1qfvMbN9nJvvYSexA\nu2Bv7pvWr9kXy/45SiCJiIi0URk/LF/r2y3EyZGIXJ68vOM89thDvPnmO84ORURE2rgTZTW8t3Yf\nO/YXAWAAenQMZEBPEyNi2uHr1XLrSiqBJCIi0kZlHPwhgdQ12MmRiIiIiLRsNrudr1JzWbrxADV1\nVrpF+nNl3/b072EiwMfd2eE1CiWQRERE2qC6eiu7j5QQGepDaICXs8MRaXQHDmSzYMFfMRgMeHv7\n8Nhjj2M0ujB//sPU1dVRX1/P/fc/RK9e0fzzn6+yc2caNpuVqVNvYvz4RGeHLyIizZTdbsditZ12\nrKCkmrdX7SU79yTeHq7cMSGakbHtW1yR7PNRAklERKQN2nO0lHqLTcvXpNV66aW/MWfOffTpE8P7\n77/DRx99SPfuPTCZwvjjH+eTm3uMnJyjpKfvoKAgn1df/Rd1dXXceecvueqq0Xh4eDr7K4iISDNS\ndLKar9Pz+CYjj5Ly2rOeMyg6jJvH9SDA18PB0TmGEkgiIiJt0I/1j2K7KoEkjefj7M/YUZhxSde6\nGA1YbfYzjvcP68vU7tdddHuHDx+iT58YAAYMGMSiRW8wadKN/Otf/+C55/6Pq6+OZ9iwEbz77ltk\nZWVwzz2zAbDbbRQVFREZ2eGSvoeIiLQeFquNjAPFbEw/TsaBYuyAl4cLfToHnTa7yNXFyKjY9vTv\naXJesA6gBJKIiEgzV1VjYWNaLsP6tCPI7/KfaNntdnYeLMLT3YXuHQIaIUKR5s1iqcdoNBIaGspb\nb31Aauo2PvkkmaysDLy9vbnuuknccssdzg5TRESagdp6K5kHT5C6r5D07GKqai0AdIvw56q4CIZE\nh+Ph3jJ3UbtcSiCJiIg0Y8Una3gxOZ1ccyXHzBXcdX2fy24z/0QV5tIaBvYy4epibIQoRU6Z2v26\nS5otBGAy+WE2lzdaLF26dCMzcycxMbHs2JFKr1692bo1BYvFwvDhV9K5cxeef/4ZfvnL23n11Ze4\n+ebbqK+v57XXXuJ3v3uw0eIQEZGWobbeyjur97JtTyF1llM1joL9PRjRtx0j+7YnKtzPyRE6nxJI\nIiIizdTh/DJe+mgnJyvrcDEaSMsuot5iw8318pI+DcvXVP9IWpGjR480LEMD+NWvfs0///kqBoMB\nPz8/Hnnk/1FWVsaf//wn3ntvMUajkVmz7qZv33707z+Qu+++A7AzZcp0530JERFxCrvdzsLPd7N1\nTyFhQV4Mjg5jQE8Tndv5tbpC2JdDCSQREZFmKG1/Ea+vyKS+3sYvxvbgRHkNq7/PIevwCeK6h15W\n2zsPnkog9VX9I2kl2rePYO3aTWccf/nlf5723sfHl3/8480zzrv77rncfffcJotPRESatxXfHmbr\nnkJ6dAjgDzP7X/bDutZKvSIiItLMfL3zOC9/vBPsMHdqX8YP7sigXmEAbNtTeFlt19RZ2Hu0lE7h\nfgS20h1CRERERC7U1j2FLP/mEKEBnsyd2lfJo3PQDCQREZFmxG63s3TjQTzdXfnDzDi6tPcHoGuE\nP8H+HuzYf3nL2HYfLsFqs9NXy9darerqah5++GGKi4upra1lzpw5REdH8+CDD2K1WjGZTDz33HO4\nu7uzYsUKFi8+tZzrpptuYvp0Ld8SEZG241BeGW9+tgsPdxd+Oy0Wf293Z4fUrCm1JiIi0oycKKul\nrLKOKzoHNSSPAAwGA4N6hVFda2H3kROX3H666h+1el999RUxMTG8++67vPjiizzzzDP8/e9/Jykp\niffff59OnTqRnJxMVVUVr776Km+99RbvvPMOixcvprS01Nnhi4iIOERJeS0vL91JvcXG3Tf0oYPJ\n19khNXtKIImIiDQjh/LKAOj6k+TRjwZFn1rGtvUSl7GVlNeSsquAAB/3s7YvrcPEiRO56667AMjL\nyyM8PJyUlBTGjh0LwJgxY9i8eTPp6en07dsXPz8/PD09GTBgAKmpqc4MXURExCHSs4t46p1tlFbU\nMX1M98uuL9lWaAmbiIhIM3LwhwRSl7MkeLpG+BPk58GOfUVYEm24ulzcc6DkDQeorbfyi3E9MBq1\no0hrN3PmTPLz83n99de54447cHc/NS0/JCQEs9lMUVERwcHBDecHBwdjNpudFa6IiEiTK6us4/11\n+/h+dyEuRgOTR3UhYUhHZ4fVYiiBJCIi0owcOl6GAejUzu+Mz4wGAwN7mVi37Ri7j5Rc1C5qB3JP\nsjkrn07hfozs274RI5bm6sMPP2T37t088MAD2O32huM/ff1TP3f8p4KCvHF1dWm0GP+XyXTmz700\nHfW346nPHUv97VjNub+tNjtfbcth4aeZlFfV0ysqiHtuiqNzC56R7Yz+VgJJRESkmbDZ7BzOLyci\n1Acvj7P/ih4cHca6bcfYuqfwghNINrud99ftA9DsozYgMzOTkJAQ2rdvT+/evbFarfj4+FBTU4On\npycFBQWEhYURFhZGUVFRw3WFhYXExcWds+2Skqomi9tk8sNsLm+y9uV06m/HU587lvrbsZprf5eU\n1/LNzuNsSs+juKwGDzcXfjGuB2MHdMBoNDTLmC9EU/b3uRJTqoEkIiLSTBwvrqS23nrW5Ws/6hYZ\nQKCvOzv2mbFYbRfU7ubMfA7llTOkdxg9OwY2VrjSTG3bto2FCxcCUFRURFVVFSNGjGD16tUArFmz\nhlGjRtGvXz8yMjIoKyujsrKS1NRUBg0a5MzQRURELku9xcYxcwUpuwp4eelOHnjtOz75+hAV1fVc\n1S+Cv/xqCOMHddTDtEukGUgiIiLNxKGG+kfnePJjMDCwVxhfbj/GniMlxJxnFlJ1rYXkDQdwdzUy\nfXT3Ro1XmqeZM2fy6KOPkpQZixsYAAAgAElEQVSURE1NDfPnzycmJoaHHnqIJUuWEBERweTJk3Fz\nc+P3v/89s2bNwmAwMHfuXPz8mu/yAxERkbNJzy5iU/pxjhdVYi6twfaTJdlR4b6Mjotk6BXhPzu7\nWy6celBERKSZOJR3aipyl4hzr8cfHH0qgbRtb+F5E0ifbz7Cyco6Jo3sQkiAZ6PFKs2Xp6cnzz//\n/BnHFy1adMaxxMREEhMTHRGWiIhIozpZWccHPxTEBvD1cqNbpD/tQ3yICPGmZ1Qgndu13BpHzZES\nSCIiIs3EoeNluLoY6WDyPed53SMDCPBxJ3VfETPHWvB0P/uv81xzBWu2HiXY34PEoVFNEbKIiIiI\nQ9ntdr7NyGfJ+v1U1ljoGuHPrQm9iArXLNqm5pQEUk1NDddddx1z5sxh+PDhPPjgg1itVkwmE889\n91zDNrMiIiJtRV29lWPmCjq388PV5dwlCo1GAyNi2vFFylGeeS+V+6b1I8jP47Rz9h4t4ZWPM7BY\n7cyM74GHW9PtnCUiIiLS2Gw2O+u25bD7SMlpx0sr6ziSX46HmwtJ43oQ/0NBbGl6Tkkg/eMf/yAg\nIACAv//97yQlJTFhwgQWLFhAcnIySUlJzghLRETEaY4WVmC12c9ZQPunplzVlcoaC5vSj/PUO9uY\nN60fHcJOzVzakpXPwpW7sdvhjonRDIoOa8rQRURERBrVibIa/vXpLvbmlJ7189huIdxyTS8tz3cw\nhyeQDhw4QHZ2NqNHjwYgJSWFJ554AoAxY8awcOFCJZBERKTNOXT8hwLa56l/9CNXFyO3JfYiLMiL\n5A0H+L93tzNncgyH8sr45OtDeHm4MHdKX67oHNyUYYuIiIg0qu17C3nriz1U1lgY0NPEzeN74un+\n35nURoMBD3fNrHYGhyeQ/vrXv/KnP/2JZcuWAVBdXd2wZC0kJASz2ezokERERJzuvzuwXXixR4PB\nwMRhnQgN8OTfn+1mwX/SAQjx92Te9Fgiz1NLSURERKQ5sNntHC+qZN22HDal5+HuauTWxF5c3S8C\ng0HL035kt9s5XpmP2Z6PydDO4fd3aAJp2bJlxMXF0bFjx7N+bv/JdnvnEhTkjatr02UcTSYV33I0\n9bljqb8dS/3tWC21v48UVuDj5UafHmEXvY7/WpMfXToG8fRbWwkP9ubRO4YQ5O+4Kd0ttc9FRETE\neXLNFWQcPMG+nFL2HyulssYCQMcwX+6+oQ8RoT5OjrB5sNltHC7LId2cSZo5k6LqYgD+dtUTeLl6\nOTQWhyaQNmzYQE5ODhs2bCA/Px93d3e8vb2pqanB09OTgoICwsLOX6ehpKSqyWI0mfwwm8ubrH05\nk/rcsdTfjqX+dqyW2t8V1fXkFVXSp3MQxcUVl9SGydedZ38zHBejAUttPWZzfSNH+TP3bcI+V2JK\nRESk9TlRVsPSjQfYnFXQcCw0wJPYbqFERwUyrE84bk04YaSlqLHU8u3xFNbnfE1p7UkAPFzcGRjW\nj2uiRzo8eQQOTiC9+OKLDa9ffvllIiMj2bFjB6tXr2bSpEmsWbOGUaNGOTIkERERpzucf3H1j37O\n+XZvExEREXGW6loLX6QcYfX3OdRbbESF+5IwOIpeUYEEO3DmdHNXVV/FxmPf8dWxb6isr8LDxZ1h\n7QcRZ4ohOqgHbi5uTnto6pRd2H7q3nvv5aGHHmLJkiVEREQwefJkZ4ckIiLiUA0FtC+i/pGIiIhI\nS1BWVce3GXms/j6Hsso6An3dufHqbgyPaYexjdc3stltFFWfoKCqkPzKQvIqC0g3Z1JjrcXH1Ztr\nu4zn6g5X4uPm7exQAScmkO69996G14sWLXJWGCIiIk53KO/UEyQlkERERKQ1sNnt7D1Swsb042zf\na8Zqs+PuZmTyyC4kDIlq87uoFVYVsfbIBrYW7KDednrZAX93PyZ0GcfIiKF4ujavmVlOn4EkIiLS\nltntdg7mlRHs70Ggr4ezwxERERG5JHa7ncP55Wzfa2bbnkIKS6sBiAz14eq4CIbHtMPH083JUTrX\n8Yp8Vh9Zz/aCdOzYCfUMpktAZ9r5hJ364x2GySsEF2PzTLApgSQiIuJEJ8pqKausY2BPk7NDERER\nEbloxwor+OTbw3yTlktJeS0A7m5GRsS0Y3RcJN0i/TG0oaVqlfVVbDj2Ldmlh+AnO83X2+o5VHYU\ngEjf9iR0iqd/WF+MhpZTw1IJJBERESfam1MCXH4BbRERERFHyzxUzCtLM6iz2PD2cGV4n3YM7GWi\nT5dgPNya5yyapnKytpz1OZv4Oncztda6s57Txb8TCZ3HEBPSu0Um1ZRAEhERcZLte828vWovBgPE\ndAl2djgiIiIiFyxtfxGvLcsADPz+5oH0ivBrUzvC1lhqKKgyk19ZyIGTh0nJ347FZiHA3Y9ru1zD\nlRFDcHdxP+2aljTb6GyUQBIREXEwu93O2q05LFmfjbubC/feGEtUuJ+zwxIRERG5IN/vLuBfn+7C\nxcXAb2+M5eoBHZyyrbyjWW1WlmZ/Rro5k9Lak6d9FuIZzPhOoxnWbiBuLq2z1pMSSCIiIg5ktdn4\nYN1+1qfmEuDrzrxp/ejUTskjERERaRm+zchj4crdeLi5MG96P3p2DHR2SA5Rb7OwMPM9dhZl4efm\nS3RQD8J/KHzd3ieMrgGdm23x68aiBJKIiIiDWKw2Xvskk7TsIjqYfJg3vR/B/s1re1YRERGR/1VR\nXc+O/WZS95pJP1CMj6cr98+Io0v7tlHDsc5axxsZb7P7xD56BXXn7tjb8fif5WltgRJIIiIiDvLx\nxoOkZRfRu1MQ90zti5eHfg2LiIhI82Sx2vguM5+UXQXsPVqK7YcdxaLCfJl13RV0DPN1coSOUWOp\n4fWdb7G/9CAxIdH8KuaWVrtE7Xw0chUREXGA7XsLWfX9UcKDvZU8EhERkWbLbreTtr+I/2w4QMGJ\nKgC6RvgzsKeJAT1NhAd7OzlCx6ioqyS/qpBl2Z9zqOwo/U19ub3PL3A1tt0xXNv95iIiIg5ScKKK\nhSt34+5mZO6UGCWPREREpFk6kl/OkvX72XO0FKPBwJgBkVw7rFOrX3JvtVnZV3qAjKJdHCs/TkGV\nmYr6yobPh7QbwC+jp7f6GkfnoxGsiIhIE6qtt/LqJxlU11q56/or6GBqG9O9RUREpGUoq6wjLbuI\nbXsLyTp4AjvQr1sI08d0JyLUx9nhNZl6az27Tuwj3ZzJzqJdVFuqATBgINQrmC4BUbTzDqejXyT9\nw/piNBidHLHzKYEkIiLSROx2O2+v2ssxcyVjBkQyvE87Z4ckIiIigsVqY2PacbbtKWTfsVJ+KG9E\nl/b+3Hh1V67oHOzcAJtQjaWGr3O38GXOJsrrKgAI9AhgSLsBxJn60MW/U5utcXQ+SiCJiIg0kbVb\nc9iclU+X9v7MjO/h7HBEREREqK618OonGew6XIIB6NYhgAE9TAzoZSIs0MvZ4TWZyvoqNuR8w4Zj\n31JlqcbTxYP4jqMYFB5HlF8HDAaDs0Ns9pRAEhERaWQ2u52lGw7wRcpR/Lzd+M3kPri5atqziIiI\nOFdJeS0v/CedY+YK4rqHcmtiLwJ9PZwd1iWz2+1U1FdSUlOKHftpn5XWllFQWUh+1ak/xyvyqbfV\n4+PqzXVdruHqDiPwdmsbBcEbixJIIiIijaiu3sq/P9/Ntj2FhAd787vpsYQGtN6neSIiItIyHCus\n4IWP0ikpr2VM/0huHt8To7Flzbopqj5BZtFucivyyK8qpKCykEpL1XmvczG4EO5tYlj7QVwZMRRP\n15abNHMmJZBEREQaSVlVHS8v3cmB3DJ6dgjgnhtj8fXSGnoRERFxrt2HT/DKD5t6TBvdjQlDo1rE\nki273U5+VSFphZmkmzPIqTje8JkBAybvELoFdiHEKwgjp8/29nXzIdwnjHY+YYR6Brf5HdQagxJI\nIiIijaCsqo7/e3s7haXVDLsinDsm9tayNREREXG6zZn5LFy5G4DZ11/BsBayqUdeZQEf7FnKgZOH\ngVOziK4I7kU/Ux+6BnTG5B2Km1EpDUdSb4uIiDSCDTtyKSyt5prBHZkR371FPNUTERGR1stut7Ny\nyxGWbjyIl4cr907tS3SnIGeHdV71NgtrjnzF6sPrsdqtXBHSiyHhA4gJjcbLVWUBnEkJJBERkctk\ns9v5ZmceHm4uTBrZRckjcbpnn32W7du3Y7FYuPvuu1m/fj1ZWVkEBgYCMGvWLEaPHs2KFStYvHgx\nRqORm266ienTpzs5chERaQxWm4331uxjQ9pxgv09+N30fkSafJ0d1nkdPHmY9/YsJb+ygECPAGb0\nnEysqY+zw5IfKIEkIiJymfYcKaHoZA0j+7bHy0O/WsW5tmzZwv79+1myZAklJSVMmTKFYcOGcf/9\n9zNmzJiG86qqqnj11VdJTk7Gzc2NadOmMX78+IYkk4iItEw1dRb+uTyL9APFdAzzZd70fgT5Nb+i\n0UfLj3Ho5FHyf9gpraCygJN15QBcFTmcG7pNwMvV08lRyk9plCsiInIOlTX1fJ2ex9GCcpLG9zxr\nUexvduYBMKpfe0eHJ3KGwYMHExsbC4C/vz/V1dVYrdYzzktPT6dv3774+fkBMGDAAFJTU4mPj3do\nvCIi0ngyDxbz9uq9FJ2soU/nIOZM6dusHm7Z7Xb2lmSz+vB69pUeOO2zII9AYkKiuaZTPN0COzsn\nQDmn5vOTJCIi0ozkFlXy5fZjfJeZR129DQBPdxduTYw+7bzKmnq27TXTLtib7pEBzghV5DQuLi54\ne3sDkJyczFVXXYWLiwvvvvsuixYtIiQkhD/96U8UFRURHBzccF1wcDBms9lZYYuIyGUor6rjwy+z\n2ZyVj9FgYOKwTkwe1QVXl+axoYfNbiOzaDerjqznSFkOAL2DezI4vD/tfcIJ8zbh6dr8ZknJ6ZRA\nEhER+YHNbmfngWK+3JZD1uESAEL8PRk7sgNf7zzOxrTjjO4fSVS4X8M1W7IKsFhtjIptr9pH0qys\nW7eO5ORkFi5cSGZmJoGBgfTu3Zs33niDV155hf79+592vt1uP2+bQUHeuLo23TbIJpPf+U+SRqP+\ndjz1uWO1hf622exsSD3GmysyKauso3vHQH57UxxdIhz/UOt/+9tqs7LbnM33uWlsPZZOcfWpsdWQ\nyDimXJFIt+BODo+xNXHGz7cSSCIi0uZV11r4JiOPL7cfo7CkGoBeHQMZN6gj/XuEYjQa6GDyYcF/\n0vlg3X4eTOrfkCz6eudxjAYDI2Jaxpa40jZ8/fXXvP766/z73//Gz8+P4cOHN3wWHx/P448/TkJC\nAkVFRQ3HCwsLiYuLO2e7JSVVTRazyeSH2VzeZO3L6dTfjqc+d6zW3t8Wq42UXQWs3HKEvOIq3N2M\nzIjvzrhBHXAxGh3+3X/s73qbhb0n9pNmziSjaBcV9ZUAeLl6Maz9IMZ2vIoI33ZgpVX/+zS1pvz5\nPldiSgkkERFpswpKqvhy2zG+ycijps6Kq4uRkbHtGTeww2mzjABiuoYQ1z2UtOwitu81Myg6jCP5\n5RwtqKB/j1ACfDXtWpqH8vJynn32Wd56662Ggtj33nsvDz74IB07diQlJYUePXrQr18/HnvsMcrK\nynBxcSE1NZVHHnnEydGLiMi51FtsfJORxxdbjlB0sgYXo4GRfdtz/ZWdMQU2/Rb3drudktpSrDbb\nf49hJztnH5uyt5JVvIcaay0A/u5+jIocTpwphh6BXXExNt0MVnEMJZBERKRNsdvt7DpcwtptOWQc\nKMYOBPq6M3FYJ66Ki8Df2/1nr50R352Mg8UsWZ9NbLeQhuLZI2NVPFuaj5UrV1JSUsK8efMajk2d\nOpV58+bh5eWFt7c3Tz/9NJ6envz+979n1qxZGAwG5s6d21BQW0REmp+qGgvPL9nBobxy3FyNjB3Q\ngcShUYQENP1OZTa7jYyiXaw6vJ6j5cd+9rwQz2CujBxKnCmGzv5RGA3NowaTNA4lkEREpE2orbPy\nXVY+67blkFd8ahlOt0h/xg3syMBepgsqMhke7M34wR1ZlXKUzzYfZsuufAJ83IntFtLE0YtcuBkz\nZjBjxowzjk+ZMuWMY4mJiSQmJjoiLBERuQw1dRZe/CidQ3nlDL0inJljexDg8/MPvRqL1WZle2E6\na458RV5lAQYM9AmJxt/99AcOkcFh9PDuQaSvakK2ZkogiYhIq1ZUWs361Fw2pR+nqtaCi9HAsD7h\njB/UkS7t/S+6vetHdOa7jDw+++4IABOGReFi1NM1ERERaRp19VZeXppBdu5JhvQO467rrsBobNok\nTb3Nwvd521lzdANF1cUYDUaGthvINZ1G084n/IzzW3vNKTlFCSQREWkVdh8p4W9L0qittTQcs9rs\nHCkox24Hf283briyM6P7RxJ4GfWKvDxcufHqbiz6Yg8Ao2IjLjt2ERERkbOpt9h49ZNMdh8pYUBP\nE79q4uRRrbWOb4+n8OXRTZTWnsTV4MLIyGGMjxpNqFdwk91XWgYlkEREpFX4akcuuw6dwMVo4Kcz\npzuF+zF2YAeG9A7HzbVxZgpdGdue7fvM+Hi60i7Yu1HaFBEREfkpq83GGyuyyDhYTN+uIdx9Q58L\nWnJ/sWx2G0fKjpFuzmRz3lYq6itxN7oR33EUY6OuItAjoNHvKS2TEkgiItIqHC0ox9fLjZd+O7LJ\n194bDQbmTe/XpPcQERGRtstitfHP5Vls32cmOiqQuVNiGu1BGJzaVGR/6UHSzBmkm7MorT0JgJer\nJ4mdxzKmw0h83X0a7X7SOjg0gVRdXc3DDz9McXExtbW1zJkzh+joaB588EGsVismk4nnnnsOd/em\nLwYmIiKtR1WNhcKSavr1CFXhRhEREWnR6uqtvPpJJhkHi4mOCuS302Jxd3NplLZtdhs7CjNYfWQ9\nuRWndpP1dvViaLuBxJliiA7uibuLW6PcS1ofhyaQvvrqK2JiYrjrrrvIzc3lzjvvZMCAASQlJTFh\nwgQWLFhAcnIySUlJjgxLRERauJzCU0Ubu0YGOjkSERERkUtXU2fh78k72XO0lL5dQ5g7JaZRkkdW\nm5XvC3aw9shXFFSZMWBgYFg/RkQMoUdgV1yMjZOgktbNoQmkiRMnNrzOy8sjPDyclJQUnnjiCQDG\njBnDwoULlUASEZGLcrSgAoCukVqjLyIiIi1TVY2FFz9KJzv3JAN6mrj7hj6XtWzNYrOwr+QAaeZM\ndpqzKK+vwMXgwoj2gxnfaTRh3qZGjF7aAqfUQJo5cyb5+fm8/vrr3HHHHQ1L1kJCQjCbzc4ISURE\nWrAjBadmIHVTAklERERaoN1HSnh/7T5yiyoZdkU4s67rjYvx0pJHuRV5rD2ykcziXVRbagDwdfNh\nTIeRjI26iiBPzdiWS+OUBNKHH37I7t27eeCBB7Db7Q3Hf/r6XIKCvHF1bbopdiaTX5O1LWenPncs\n9bdjqb+b3vHiKjzcXYgw+eLShFvbytnpZ1xEROTS5BVX8tFXB0jLLgJg7IAO/GJcD4yXMJ6ps9bz\nxeF1rDu6EZvdRpBHIMPaDyLO1JeuAZ0wGhp/BzdpWxyaQMrMzCQkJIT27dvTu3dvrFYrPj4+1NTU\n4OnpSUFBAWFhYedtp6SkqsliNJn8MJvLm6x9OZP63LHU346l/m569RYrR/PL6Rrhj4vRoP52sKb8\nGVdiSkREWquyyjo+/fYwG9Jysdrs9OoYyIyx3enczv+S2ttXcoAP9iylsLqIYM8gZvScTJ+QaG0u\nIo3KoQmkbdu2kZuby6OPPkpRURFVVVWMGjWK1atXM2nSJNasWcOoUaMcGZKIiLRwx8yV2Ox2osJ9\nnR2KiIiIyDmdKKvhi5SjbEo/Tr3FRniQF9PHdKf/Je4kW1VfxSfZK/ku73sMGIjvOIpru1yDp6tH\nE0QvbZ1DE0gzZ87k0UcfJSkpiZqaGubPn09MTAwPPfQQS5YsISIigsmTJzsyJBERaeF+rH8UFa7Z\nKiIiItI8FZRUsXLzEb7LzMdqsxPi78GEYZ24ql8Eri4Xv7TMbreTZs7kP/uWUVZXToRPO27uPY3O\n/lFNEL3IKQ5NIHl6evL888+fcXzRokWODENERFqRH3dg66QEkoiIiDQzZZV1LP/mEBvTjmOz2wkP\n9ubaYZ0Y1if8khJHAKW1J/nP3mWkF2XhanTl+q6JjI+6Ghdj09UJFgEnFdEWERFpLEfyy3ExGog0\n+Tg7FBERERHgVI3GNVtz+HzzEWrqrIQHezNlVBcG9Qq7pALZALXWOr7J3cLKQ+uosdbQI7Arv4i+\nkXBvUyNHL3J2SiCJiEiLZbXZOGauINLkc8lP8UREREQai91uZ/teM0vWZ1NcVoOvlxs3j+/G1XGX\ntlQNoKq+mk253/FVzjdU1Ffi5epJUq8bGR4xWDuriUMpgSQiIi1WfnEV9Rab6h+JiIiI050oq+Hd\nNftIyy7C1cVA4pAorhvRCW9Pt0tqr85az6rDX7Lx2HfUWGvwcvViQudxjO54Jb5umnktjqcEkoiI\ntFg/FtBW/SMRERFxFpvdzlepuSzdeICaOivRUYHclhhNeLD3JbdptVlZmPUeGUW78HPzJaHzBEZF\nDsfL1bMRIxe5OEogiYhIi6UC2iIiIuJMRwvKeXfNPrJzT+Lt4codE6IZGdseg+HS6hzBqWVw/9m3\njIyiXfQK6s6vY2/H3cW9EaMWuTRKIImISIt1JL8cA9AhTNO4RURExHFKymv5eNMBvsvIxw4Mig7j\n5nE9CPD1uOy2Vx1ezzfHU+jgG8FdfW9V8kiaDSWQRESkRbLb7RwtrCA82BtPd/06ExERkaZXW2fl\ni5QjrPr+KHX1NjqYfJgR34M+XYIbpf3vjm/ls0OrCfYMYk6/O7VkTZoVjbhFRKRFMp+sobrWQmy3\nEGeHIiIiIq2czWbn28w8Ptl0kNKKOgJ83Eka15WRfdtjNF76crWfyizazQd7l+Lj6s09/WYR4OHf\nKO2KNBYlkEREpNmy2+3syynly+3HsAO3T4jG54edTI7mnyqgHRXu68QIRUREpLXbdfgES9Znk1NY\ngburketGdGbisKhGnQG9q3gv/858BxeDkV/3u4Nwn7BGa1uksSiBJCIizU5dvZWUXQWs236MnMKK\nhuO55krm3dSPsEAv7cAmIiIiTepYYQVLNx4g/UAxACNi2jH1qq4E+zfusrJ0cxYLM9/FYDBwV9/b\n6BrQqVHbF2ksSiCJiIjT2Gx2Xv0kg1xz5WnHy6vrqa61YDQYGBwdxtiBHUjLLmJVylGeensbv70x\ntmEHtiglkERERKQRHTxexmffHSYtuwiA6KhAZsT3oFO7xh9zbCtIY/GuD3E1uvKb2NvpGdS90e8h\n0liUQBIREafZvs/Mjv1FeHm44unu0nDcz8uNMf0jiR8Q2fCUr2fHQEyBXry7Zi/PfrADo8FAiL8H\nvl5uzgpfREREWgmb3c7eIyV8vuUIuw6XANAtwp/rRnQmtlsIBkPj1Dn6qc3Ht/LenmQ8XDyYG3cn\nXQM6N/o9RBqTEkgiIuIUdrudlVuOYAD+dNsg2gV7n/eaMf0jCfH35B/LM6mts3JF56CmD1RERERa\nJavNxr6jpWzfZyZ1n5nSijoAencK4roRnYmOCrysxJHdbudYxXHSzJnsKt5DjbX2Jx9CYXXRqYLZ\ncb8iyr/D5X4dkSanBJKIiDjFnqOlHMkvZ2BP0wUlj34U2y2EP948gHdW72VETLsmjFBERERai9p6\nK/nFVeQVV3L8h7/3Hi2loroeAB9PV66Macfo/pF0iwy4rHsVVpn5OncL6eZMimtOzWZyNbri7ep1\n2nkdfSO45YoZRPq2v6z7iTiKEkgiIuIUX2w5AkDisKiLvjYq3I9Hbx3U2CGJiIhIK5BbVEnqgRPs\nO1xM3g/JouKTNdj/57wAX3fGDIhkUE8TPaMCcTEaL/veJTWlPL/9NSrqK/F08WBQeBxxpr5cEdIL\nDxf3y25fxJmUQBIREYc7WlBO5qET9OoYSLeIy3vKJyJnevbZZ9m+fTsWi4W7776bvn378uCDD2K1\nWjGZTDz33HO4u7uzYsUKFi9ejNFo5KabbmL69OnODl1E5LKsTz3Ge2v3Yf9JtijAx51eUYG0D/Wh\nfbA37UN9iAjxIdDXvVFrG9XbLPwr8x0q6iuZ1G0CYzqOws2o/3JL66GfZhERcbhVKUcBmHAJs49E\n5Ny2bNnC/v37WbJkCSUlJUyZMoXhw4eTlJTEhAkTWLBgAcnJyUyePJlXX32V5ORk3NzcmDZtGuPH\njycwMNDZX0FE5KLZ7HaWbjzAF1uO4u/txi0TryDAy5X2Id74eDpmw43k/Ss4UpbDkHYDGB81ukkK\nb4s40+XP0RMREbkIRaXVfL+7kEiTD327hjg7HJFWZ/Dgwbz00ksA+Pv7U11dTUpKCmPHjgVgzJgx\n/5+9Ow+MurwT+P+eK8fkPmZyH+QgAUISwn0E5ZDDqlBFQTxql7bbtduurd1u1/rbXvtrq+3Pdu3a\nbav1qFdRqtaTIKAQrgABcpKD3Hdmch+TTGbm+/sjiiJJCJDMBPJ5/aN+z888zkye+Xyf5/Nw9OhR\n8vLymDt3Lj4+Pnh4eJCRkcGpU6dcGboQQlyRIZuDp98p5oNjtYQE6nnk/gVsWBpLQoSf05JHR5tO\ncqjhGBHeYdyddLskj8R1SRJIQgghnGrPiTocisLGxdHSuRJiEmg0GvT64cL0u3btYuXKlVgsFtzc\nhmtvBAUFYTKZMJvNBAYGnj8vMDAQk8nkkpiFEOJK9Q8M8cTOM+QUt5AQ4ceP7puP0d/z0idOoLqe\nBnaWvoGn1oOvp9yPm9Q6EtcpmcImhBDCaXotQxzMbyTQ151Fs0JcHY4Q17W9e/eya9cunn32Wdat\nW3d+u6J8sYzs2Ns/LyBAj1armbAYv8hg8Jm0a4uLSXs7n7T5xKpr6eGXL5+iwdTHstQwvrd9Pu66\nz76jrra9z7VVU9haetB7FVgAACAASURBVMnvx32Vhxhy2Pje8m8wOzz2qu55LZP3t3O5or0lgSSE\nEMJpPjpVj3XIwbqV0Wg1MghWiMmSnZ3NH//4R5555hl8fHzQ6/UMDAzg4eFBS0sLRqMRo9GI2Ww+\nf05rayvp6eljXrejo3/SYjYYfDCZeibt+uJC0t7OJ20+sU6VmXjm3WIGrHY2LI5my43xdHd+9h11\npe2tKArlnZXsrt5Hace5cZ+3MXYN0brYafv/WN7fzjWZ7T1WYkoSSEIIIZxCURSOFLXgplWTmRrm\n6nCEuG719PTw+OOP8/zzz58viL1s2TKysrLYtGkTe/bsITMzk7S0NB599FG6u7vRaDScOnWKRx55\nxMXRCyHE2ByKwj+yq3jnSDVuOjXf3DRnwkY1F7WVsrt6L5VdNQAkBSSwImIJHhr3Mc/T6zyJ8Yma\nkBiEmMokgSSEEMIpGkx9tLT3Mz/JgKe7/PkRYrK8//77dHR08NBDD53f9qtf/YpHH32UnTt3Eh4e\nzubNm9HpdDz88MPs2LEDlUrFt771LXx8ZPqBEGLq6uwd5IUPSsiraCPYz4N/vX0u0SFX/7015LDx\netk/ONyYA8Dc4Fmsj1nDDD9ZLVaIz5MevBBCCKc4UdIKwMJko4sjEeL6tnXrVrZu3XrR9ueee+6i\nbRs2bGDDhg3OCEsIIa7Y4JCdrOO1fHCslsEhO7NjA/jmphS8Pa9+hbWuwW6eLniRqu4aIrzDuH/W\nViJ9wicgaiGuP5JAEkKISfLaR+fot9p5YH2Sq0NxOUVROFnaik6rJjU+yNXhCCGEEOIa4FAUjhY2\n88bBSjp6BvHV69i6OoGVaeGo1Ve/kmtlVzXPFLxIl7WHBSHp3JO8RVZQE2IMkkASQohJ0NTWR1ZO\nLQqwcWEUIYF6V4fkUo3mPpra+smYacDDTf70CCGEEGJ0/QNDHC1q4ePTDTSY+9Bp1XxpaQw3L4mZ\nkGnwVvsQBxuO8HbFbhyKg9sTbmF1VCYq1dUnpYS4nkkvXgghJkHW8To+XfA1v7KNm6Z5AunT6WsL\nkg0ujkQIIYQQU5GiKFQ0dnPgTAMnzrZitTnQqFUsnRPK7SvjCPLzuOp7DNgGyG44xr66g/RYe/HS\n6fmnOfeQHJg4Aa9AiOufJJCEEGKCdfUOcqSwCX9vNzp7rRRUtHHTgum9MkduqQmtRk1afLCrQxFC\nCCHEFFPT3MPO/eWU1HYCYPT35Ib0cJbPDcPX6+qnlA3YBtlXe4CP6w/Tb7PgoXFnXcwqVkdl4uPm\nfdXXF2K6kASSEEJMsA9P1mOzK9y2fAbZBU2U1HYyaLXj7qZxdWgu0Wjuo8Hcx7zEYFl9TQghhBDn\ndfQM8saBCo4UNqMAqfFBrFsYRXJMAOoJmk7W2m/mzwUv0NTXgpdOzy0z1nND5DL0Os8Jub4Q04n0\n5IUQYgJZBm18dLoBX72OZSmhWGwOqhq7OVvbQXrC9Bx9c/L89DVZfU0IIYQQw8Wx3z1czfvHarDa\nHEQZvdm6OoHZsYETep+ithKeK3oVi83CDZHLuS1uAx5a9wm9hxDTidrVAQghxPXkwJlGLIM21iyI\nwk2nYX5yCAAFFW0ujmxkLe39/OjpYxRVt1/WeWV1nfzk2ePknTNf8tiTpa1oNeppm0ATQgghxGcU\nReGvu0t561AVnh5avroxmR8/sHBCk0eKovBG8Qf8X95zDDmGuH/WVu6auUmSR0JcpUsmkLq6unjs\nscf4/ve/D8D+/ftpb7+8Hxpf9Pjjj7N161buuOMO9uzZQ1NTE/fddx/bt2/n3/7t37BarVd1fSGE\ncAWb3cGeE7W46zSszogAIDkmAL27lvyKNhRFucQVnG/vyXqa2vrZ9VHFZcW3O6eW2tZenvx7PvtP\n1Y96XFNbH/WmPlJmBMr0NSEu02T0wYQQwpUUReHVveUczGskOsSb//7aYjLTwlGrJ271s5a+Vv5c\n8Ff+VvA2/u5+PJzxIIvD5k/Y9YWYzi6ZQHr00UcJCwujvn74B4LVauU//uM/rviGx44do7y8nJ07\nd/LMM8/wi1/8gieffJLt27fzyiuvEBMTw65du674+kII4SrHilro7LVyQ3o4Xh46ADQaNSlxgbR1\nD9DY1j9p97YM2vjvv57kYF7juM8Zstk5VtwMQE1LD2drOsZ9r8KqdoJ83fH21PHSnjJ27i/HMUIC\n6mSpCZDV14S4EhPdBxNCCFdSFIVdByrYm1tPRLAXD29NP99fmgh1PY08U/gSP8/5/8g3FzHbkMh/\nLPwO0b6RE3YPIaa7SyaQ2tvbuf/++9Hphj/cGzZsYGBg4IpvuHDhQv7nf/4HAF9fXywWCzk5OaxZ\nswaAVatWcfTo0Su+vhBCuIJDUfggpwaNWsW6hReuuDY3LgiA/IpLT/e6UqfKTFQ2drP35OijgS4+\nx0zfgI2UGcNDxj84VjOu8/LOmbHZHWSmhvPo/QsIC9KTdbyO/3uzkMEh+wXHnixpRatRkZ4gCSQh\nLtdE98GEEMKV3jlczQfHagkJ8OT729Lx0V/d6mqDdiu13fUcbz7F/+U9y69O/I7TrflE+oTz9ZT7\n+K9VD8kKa0JMsHHNJxgaGkL1SRV8s9lMf/+VP0XXaDTo9XoAdu3axcqVKzl06BBubsNfIEFBQZhM\npiu+vhBCuEJhZRtNbf0sSwkl0Nfjgn2fJpAKKtrYuDhmUu6f+8lIn3pTL+3dAxfFMJLs/OHRSnev\nTeSlPWUUVXdQ09xDTKjPmOed+KQo9vxkIwZ/Tx65bz5PvVFAbpmJ/P/JRvO5YegDVjtp8UHoPWT6\nmhBXYiL7YEII4Sq7c2p561AVwX4e/Pvd8/DzHn8toh5rL819rTT3t9LyyT+b+1rpGOy84Lh4v1jW\nx65hduBMVCoVapWU+xViol2yR3/PPfewZcsWTCYT3/zmNykoKOBHP/rRVd9479697Nq1i2effZZ1\n69ad3z6eGhwBAXq02slbDttgGPvHk5h40ubOJe098Yr2nwPgy6sTL2rf+NggEqP8Ka/vQu/tgZfn\nxA3XBuizDFFY9VldlGpTH0nxY4/4aWnvp7i6g9kzAklNDmWbSs2P/3yUj8408u/3LRj1vP6B4XtF\nhfiQPisUAAPwi29l8vx7RRR+oVi4VqNi2/pkp77n5P3tfNLmk2Oy+mBCCOFM+3Lree2jcwT4uPPv\nd8+75EMuh+KgsquGM6YC8kxFtA9cPMXez82XpIAEQr2MhOqNxPhGEeMbNcLVhBAT6ZIJpJtvvpmM\njAxOnz6Nm5sbP/vZzzAar24p5uzsbP74xz/yzDPP4OPjg16vZ2BgAA8PD1paWi55/Y6OyXv6ZjD4\nYDL1TNr1xcWkzZ1L2nviKYrC8aJmfPQ6Ajy1F7Tvp+09K9qf8rpODp6snfDl7I8WNmOzO1iWEsqR\nwmYOn2kgIz5ozHPezq4EYMmsEEymHiIDPIgyepOd18CXlkRj8Pcc8byc4haGbA7mJQRd9D7avCyW\nzctiRzzPWe85eX8732S2+XRPTE1GH0wIIZwpO6+Rlz8sw9fLjX+/e96I/Yv+Icv5UUXV3TXkm4rp\nGeoFwEPjQUrQLMK8Qgj5JFkU6mXAUztyP0UIMbkumUD6fEHrvr4+Dh48CMCWLVuu6IY9PT08/vjj\nPP/88/j7+wOwbNkysrKy2LRpE3v27CEzM/OKri2EEK5Q29JLV5+VpXNCUatGXkUkNT6Ytw9Xk1/Z\nNuEJpJOlw1PKbl4SQ0VjN8U1HQzZHOi0Iw/ddjgUDhU04e6mYeEnsahUKjYujubP7xSTdbyWe9cl\njXyvT6avTfRrEEJcbKL7YEII4UzHipt5/oMSvD11fH9bOqGB+vP7GnubebtyNzXddXRbL3wI4a3z\nYnn4ItIMc0kKiEerlmnwQkwVl/w05ubmnv93q9VKfn4+GRkZV9x5ef/99+no6OChhx46v+1Xv/oV\njz76KDt37iQ8PJzNmzdf0bWFEMIV8iuHp22ljjHqJzbMBx+9joKKNhRFOV/T5GpZBm0UVLYTEexF\neLAXqXFBfHiyjrL6TubEBo54TnFNO+3dg6xMC8Pd7bPpwAtnGfn7gUoO5Tdx24oZ+H6huOWA1UZ+\nZRthQXoigr0mJH4hxOgmug8mhBDOkltq4pl3zuLhruXhrelEGoaLWQ85bOyp3k9WzUfYFTuBHgHM\nDkr6ZGSRkXCvUGJ8o6R+kRBT1CUTSL/85S8v+G+LxcJ//ud/XvENt27dytatWy/a/txzz13xNYUQ\nwpUKKtpQqWDOjJETNgBqlYqUGUEcLWqmtqX3koWqxyuvYnhFtPlJwzWPUuOHE0gFFW2jJpCy85oA\nyEwNv2C7Rq1m/aIoXtlbzv7cejZnxl2wP7+ijSGbgwVJxglLgAkhRjfRfTAhhJhMg1Y7BZVtnCoz\ncaKkFZ1OzffuSjvf56nsqubls7to7m/F392PrTM3k2qY4+KohRCX47LHA3p6elJbWzsZsQghxDWn\n1zJERWMX8RF+eF+iOHZq/HACKbfMNGEJpJMlw6uvfToVbWaUP246NfkVbWxbkzhivKfLTYQHexEX\n7nvR/szUcN4+XM3ek/XMTzISZfxs+VuZviaEa0kfTAgx1SiKwqkyE0cKmymsamfI5gAg2M+DHV+a\nRXyEHxbbAG9X7Ca74SgAKyOWclv8Rjy1l14xVggxtVwygbR9+/YLnjS3tLSQlDRybQwhhJhuCqva\nUBRIjRu7aDUMJ5C8PXV8eLKONRkRl7WE7UgGrDYKPp1S9snQcJ1WzeyYQM6cM9Pa0Y8xQH/BOcMF\ntxUyU8NGHEXk7qZhy43xPP9BCb98KZcHv5xCyowgBq128ivbCAnUE2mQ6WtCOIP0wYQQU5m5y8Jf\ns0oprBxeCTY82IuMmQbmzzQQHeKNSqWiwFzM30rfpHOwi1C9ke3JW4j3j3Vt4EKIK3bJBNLnaxWp\nVCq8vb1JTk6e1KCEEOJaUVBx6fpHn/J013L7yjj+mlXKrgMV7PjS7Ku696dTyhZ+YURQanwQZ86Z\nKahsZ838zxJIQzY7H51uQKNWsXRO6KjXXZkWjoebhmfePcvvXsvnvvUz8fLQYR1ysCDJINPXhHAS\n6YMJIaYih0NhX249bxysZHDIzpzYALatSTz/MAuga7CHXeX/4FRrPhqVhptj17IudjU6KYgtxDVt\n1E/w0aNHR9ze2dnJsWPHWLp06aQFJYQQ1wKHQ6Ggsh1/b7cLpnqNZWVaOPtPNXC4oJnVGZHMCLt4\nGtl4nfh0SlnShQmkuZ+MhsqvaGPN/Mjz21/+sJzm9n5unBeBr9eFBbK/aNGsEAJ83Pn93wt4YXcp\nft7Dx38xWSWEmHjSBxNCTFX1rb0890EJVU3deHlouXfdLJalhKJSqbA77JR1VnDGVEhuSx4Wm4UZ\nvjFsT76DcO/RH1wJIa4doyaQ/vCHP4x6kkqlks6LEGLaq2ruptcyxMq0kaeDjUStVrF9bSKPv3qa\nVz4s45H75l/RiJ5Bq52CijZCA/VEfGFKWZCfBxEGL0pqOxgcsuOu03Aov4mDeY1EG73ZtjphXPdI\njPTnR/fP53ev5dHSYcEY4DnuRJkQ4spJH0wIMdUM2ey8c6SaD47VYncoLJkdwrY1ifjodRS3l5Hb\ncoYCczH9NgsA3jov7pq5mcyIJbKimhDXkVETSC+++OKoJ2VlZU1KMEIIcS3JPzc8fW1uXPBlnZcc\nE8CCJAMnS00cK24ZczrZqPeubMNqc7AgeeQV0VLjgvggp5bS2g78vd15cU8pnu5aHrx9Lm46zbjv\nExKg50f3L+DvBypIjQ+S6WtCOIH0wYQQU0lpbQcv7C6lub2fIF937lufTEpcAKdbC8gq2k9D7/Dq\nrv7ufiwMzSDdkEK8Xywa9fj7G0KIa8MlJ6E2Njby0ksv0dHRAYDVaiUnJ4f169dPenBCCDGV5Ve2\noVGrmB0bcNnn3rUqgTPn2nj9o3PMSwzGw+3yagJ8Nn3NMOL+1PjhBNKx4hYqG7oZsjn45qY5GP09\nLztWb08dX9kgdVeEcDbpgwkhXKm5vZ8PjtWQnd+ECli7IJINy8Io7Srlv3OepaXfhAoVC0LSuTFy\nOTG+UTLaSIjr3CV/sfzgBz9g5cqVfPTRR9x7773s27ePxx9/3BmxCSHElNXVO0hNcw+zYgLwdL/8\ngpDB/p5sWBzNu0eqef9YLbevjBv3uYNDdvIrzISMMaUsPsIPT3ctx4paALh5SQzzEkdONgkhpibp\ngwkhnG3I5iC3rJWDZxopqTejCWrCP7kfQ4idfPshDh/rBUCj0rAsbCE3xdyIUS/9CyGmi0v+6tFo\nNHzjG98gOzube+65hy1btvC9732PZcuWOSM+IYSYkgo+WbL204LVV+JLS2I4XNDE7pxaVs2LIMDH\nfXz3rmgbXhFtlOlrAFqNmjkzAjlZ0kpytD9fXjnjiuMUQriG9MGEEM5gdzgor+sit8xETnELvdZ+\ntCE1eGXU4lBbGQQaLCoCPQKYE5RMlHc4KyKWEODh7+rQhRBOdskE0uDgIM3NzahUKurq6ggPD6eh\nocEZsQkhxJSVXzlc/yg1/soTSO5uGm5ZFsuLWaUcLmjilmWx4zrvZOnIq6990YZF0Wg1KrauTkSj\nliHlQlxrpA8mhJgsDkWhqKqd3NJWTpWZ6bUMovLoxzO0GW9jDXaG8NTquSHqBlKD5xCiD8ZNM/YK\nrkKI69+oCaSWlhZCQkL42te+xpEjR9ixYwebNm1Co9Fwyy23ODNGIYSYUqxDdoqq2gn28yAsSH9V\n11o8K4Sd+8o5lN/EzUtjUF+iSLV1yE7euTaM/p5Eh4y9IlpcuC/fCJ9zVfEJIZxP+mBCiMk0ZLPz\nx3dOU9BzCrW+B01iP3r3PhSVAwXwcvNhTfQ6VoQvxkPr4epwhRBTyKgJpFtvvZX09HS2bNnCbbfd\nhlar5fjx4/T19eHn5+fMGIUQYko5XNiMZdDG6oyIq16VTO+hZUGykSOFzZTVdpIcM3ZB7oLKdgaH\n7MxPNsiKaEJcp6QPJoSYLL2WIX73xikafPaii+wCwEPjTqhXJKF6I3F+MSwKzUCn0bk4UiHEVDRq\nAik7O5sPP/yQ1157jZ/97GfceuutbNmyhfj4eGfGJ4QQU4rDoZCVU4tWo2Lt/MgJuWZmahhHCpvJ\nzm+6ZAIp95PpawuTx56+JoS4dk1EH6ysrIwHH3yQBx54gHvvvZcf/vCHFBUV4e8/XLNkx44d3Hjj\njbz99tu88MILqNVq7rrrLu68887JellCCBczdVp44rXTdAQdRuPdxXxjOrcnfgk/N195KCWEGJdR\nE0ju7u7ccsst3HLLLbS2tvLOO+/w3e9+F71ez5YtW9iyZYsz4xRCiCkht8xEa6eFlWnh+HmPr+j1\npcyM8scY4EluaSv33DQTvcfIX81DNjtnzpkJ9vMgJsRnQu4thJh6rrYP1t/fz89//nOWLl16wfbv\nfe97rFq16oLjnnrqKXbt2oVOp2PLli3cdNNN55NMQojrR1VTN797/QwDxjNoA0wkByRy/+y70Kov\nfyVZIcT0Na6qqkajkR07dvDb3/6WiIgIfvazn012XEIIMeUoisL7x2pQARsWR0/YdVUqFZmpYVht\nDnLOtox6XGFlOwNW+5irrwkhri9X0gdzc3Pj6aefxmgce6RiXl4ec+fOxcfHBw8PDzIyMjh16tRE\nhS6EmCJyilt47JVTWAJK0BrrifIO5+tz75PkkRDisl0ygdTV1cXLL7/Mli1b+O53v0taWhoHDhxw\nRmxCCDGllNR2UtPcQ8ZMA6GBV1c8+4uWpYShUkF2XuOox5yU6WtCTCtX2gfTarV4eFxc+Pall17i\n/vvv57vf/S7t7e2YzWYCAwPP7w8MDMRkMk3oaxBCuI7d4eC1j87xp3cKUBuq0UWcI8gjkH9J2yHF\nsYUQV2TUtPP+/ft58803yc3N5aabbuK//uu/SE1NdWZsQggxpXxwrAaADUsmbvTRpwJ83JkbF0R+\nRRt1rb1EGS9cYW3I5uDMOTNBvh7Ehsr0NSGuZ5PRB9u0aRP+/v7MmjWLP//5z/zv//4v8+bNu+AY\nRVEueZ2AAD1areaqYhmLwSDfb84k7e18zmrztu4+fvH6+9RYytFnmFA0VnzcvPh/Vn+HcJ8Qp8Qw\nFch73LmkvZ3LFe09agLp2WefZcuWLfz6178e8SmWEEJMJ7UtPRRWtZMU5U98+OSsgpSZGk5+RRvZ\n+Y1sXzvzgn1FVe1YBu2sTAuX6WtCXOcmow/2+XpIq1ev5ic/+Qnr16/HbDaf397a2kp6evqY1+no\n6J+QeEZiMPhgMvVM2vXFhaS9nc8ZbW62tPFGyYfkteWBtx2tN/i6+ZJuXMDKiGXoBvSYBqbH/3d5\njzuXtLdzTWZ7j5WYGjWB9NJLL01KMEIIcS3anVMLwMYlMZN2j7SEIHz1Oo4WNnPnjQnotJ/NMv50\n+tqCJJm+JsT1bjL6YN/+9rf5wQ9+QFRUFDk5OSQmJpKWlsajjz5Kd3c3Go2GU6dO8cgjj0z4vYUQ\nk6+pr4Ws6o842XIaBQXHkCdxnknckb6cWL8o1Kpxlb4VQogxSeU0IYS4BHOnheNnW4k0eDE3LvDS\nJ1whrUbN0pRQso7XcbK0lYyZBgDsdoXT5WYCfd2JC/edtPsLIa4PhYWFPPbYYzQ0NKDVasnKyuLe\ne+/loYcewtPTE71ezy9/+Us8PDx4+OGH2bFjByqVim9961v4+Mj0AyGmKrvDzoH6w9T2NFywvXeo\nj7PtZQA4+r1RtSawY/kaFiRNn6lqQgjnkASSEEKMYsjm4PjZFnYfr8WhKGxcHDPp08cyU8PJOl7H\n0+8Uj7AvTKavCSEuKSUlhRdffPGi7evXr79o24YNG9iwYYMzwhJCXIXq7lpePruLxr7mEfe7DwXR\nXRWDQR3Dd+5IJSzIy8kRCiGmA0kgCSHEF3T2DvLx6QY+Pt1Ad/8QKhUsnRPKwlmTP30sPNiLTStm\nUNnYfcF2N62aNfMjJ/3+QgghhJg6BmyDvFuVxcd1h1FQWB6+iJuiV6FVa7AM2sgtM3HgVCPtHZCe\nYOBrt8xG7yE/8YQQk0O+XYQQ4nPqTb38919PYh1yoHfXsmFxNKszIgj283RaDJtWzHDavYQQQggx\n9Zgt7eSZCvm4/jDtAx0YPYO5O/kOEv3jqGzs5sCZRo6fbcFqc6BRq7lteQy3rZiBWkYqCyEmkSSQ\nhBDic947WoN1yMEdN8Sxdn4U7m6Tt1y1EEIIIQSA1T5Ec38LReYSzpgKqe9tBEClqAgaTEHXmMQL\nhSa6+xroG7ABEOznwQ3p4ayYG4aft7srwxdCTBOSQBJCiE+YOi2cONtKpMGbm5dMfr0jIYQQQkw/\nVvsQZ9vLqOiqoqWvlea+VtoGOlBQANCoNAQSRUuVH7YOA/02d1T04eWpw9fLjdmxgaxMC2dWbICM\nOBJCOJUkkIQQ4hN7jtcNF8teEi3JIyGEEEJcEUVRLto2YB/gUE0J2RUnKGovxWq3nt/no/Mm3j+W\nUL0RT5uRo0cUGtptBPt5sH3zTOLDffHy0KFWS99ECOFakkASQgigp99Kdn4jQb7uLEye/GLZQggh\nhLi+DDlsHGs6yd7aA5gtbaMeZ/AMIt0wlzlBSYR5h+Kt88LUaeHtQ1V8WNiMSgXrF0WxeUWcTKUX\nQkwpkkASQghgX249VpuDdYui0WrUrg5HCCGEENeIQbuVww3H2Ft7kC5rN1q1lgT/Gaj4bMSQRqUh\nNSKJRP1MwrxCzo90bjT38erRYnKKW3AoClFGbx7YmMyMMF9XvRwhhBiVJJCEENPeoNXO/lMNeHlo\nWZka7upwhBBCCDHFORQHFZ1V5JmKONFymt6hPtw0bqyJXsmaqJX4uV+cADIYfDCZegCoae7h3aPV\nnCo1oQARwV58aWkMC2cZ0ajlQZYQYmqSBJIQYtrLzm+k1zLEbctjZai4EEIIIUY05LBR1nGOM62F\n5JuL6B3qA8BLq2dj7FpujFqOt85rzGuU1XXy7tFqCivbAYgN9eGWZbGkJwZLQWwhxJQnCSQhxLRm\ndzjIOl6Hm1bN6vmRrg5HCCGEEFPIoN1KcVspZ0wFFJpLGLAPAODj5s2K8MWkG+aSGBCHVj36zypF\nUSiu7mD3a3kUVQ7XRkqK8udLy2KYExsoC3cIIa4ZLkkglZWV8eCDD/LAAw9w77330tTUxA9+8APs\ndjsGg4Ff//rXuLm5uSI0IcQ0c+JsK23dA6zOiMBXL987QgghhBhO+rxbtYd9tQcYctgACPQIYFn4\nQtIMKcT5xaBWXXqqWU1zDzv3l1NS2wnA3LggblkWQ2Kk/6TGL4QQk8HpCaT+/n5+/vOfs3Tp0vPb\nnnzySbZv387GjRt54okn2LVrF9u3b3d2aEKIaUZRFD7IqUWlgnWLol0djhBCCCGmiA9rP2Z39T4C\n3P1ZHDafdEMKkd7h4x4t1NEzyBsHKzhS0IwCpMYH8dXbUvBzl6nyQohrl9MrtLm5ufH0009jNH62\nTHZOTg5r1qwBYNWqVRw9etTZYQkhpqGiqnbqWntZmGzE6O/p6nCEEEIIMQXkNOXyj4oP8Hf34+H5\nD3Jr3HqifCLGlTyyOxy8c6Sa//zzUQ4XNBNh8OLhrek8dGcaCTLqSAhxjXP6CCStVotWe+FtLRbL\n+SlrQUFBmEwmZ4clhJiGPsipBWDj4hgXRyKEEEKIqeBsWxkvlbyOp9aTb6XtIMBj/Ekfc6eFP79T\nzLmGLny93Ni+No4Vc8NQq6XGkRDi+jDlimgrinLJYwIC9Gi1kzf802DwmbRri5FJmzuXtDeU13Vw\ntqaD9JkGFswNn9R7SXs7l7S380mbCyGuB7U99Txd+FfUKjXfTH2AcO/QcZ+bU9zCX7NKsAzaWZhs\n5CsbktB76CYxWiGEcL4pkUDS6/UMDAzg4eFBS0vLBdPbRtLR0T9psRgMPphMPZN2fXExaXPnkvYe\n9sruEgDWZERMfY/tfAAAIABJREFUantIezuXtLfzTWabS2JKCOEMiqJQ1FbCSyWvY7UP8bWUe0nw\nnzGuc7t6B9n1cQWHC5tx12n4p5tnsXxuqKysJoS4Lk2JBNKyZcvIyspi06ZN7Nmzh8zMTFeHJCaB\nze5Ao1bJH1Thci0d/eSWthIT4sPsmABXhyOEEEIIF3AoDs6YCsmq3k99byMAW2duJt04d8zzTJ0W\nTpWZyC0zUVHfhQLEhvrwz7fNISRQ74TIhRDCNZyeQCosLOSxxx6joaEBrVZLVlYWv/nNb/jhD3/I\nzp07CQ8PZ/Pmzc4OS0wyRVH4zaun6eyz8u07UokI9nJ1SGIayzpeh6LAxiXRktAUQgghpqHTrQW8\nU7mbln4TKlTMN6axPnY1Ed5ho55TWNXGmwerqGrqBkAFJEb5szDZyA3p4Wg1Tl+fSAghnMrpCaSU\nlBRefPHFi7Y/99xzzg5FOFFlYzdl9V0A/OLFXP71yynMig10cVRiOurqs3Iov4lgPw/mJxlcHY4Q\nQgghnCynKZe/nt2JWqVmSdgC1sWsIkQ/ep+gwdTLax9VUFDZhgpImRHI/CQD6YkG/LzcnBe4EEK4\n2JSYwiauf9n5w8OCV82L4GBeI0+8lscDG5NZPnf0pzxCTIZ9uXXY7A42LI5Go5YnhUIIIcR0crb9\ns1XWvpvxzTFHHHX3WXkru5IDeY0oCsyKCWDr6gSiQ6Q+mxBiepIEkph0A1YbOWdbCfJ15551M1k0\ny8j/vlHAX947i6nTwte+nOrqEMU0YRm0sT+3AW9PnSQvhRBCiGmmtqeepwv+ihoV/zz3K2Mmj/Ir\nzPzlvbP09A8RFqTnzlUJpMUHydR3IcS0JgkkMelOlLQyaLWzfmEUapWKpOgAHrlvPr99LY+3D1cT\nZvRhsUwlEk6QnddI/6CNzZkzcNdpXB2OEEIIIZzEbGnjD3nPYrUP8U8p95AYEDficUM2O69/VMHe\n3Hq0GhVbVyewZn6k1DcSQghAvgnFpDuU34QKWJH62VOesCAv/vPe+Wg1Kt47XIWiKK4LUEwLNruD\nrBN1uOnUrM6IdHU4QgghhHCSbmsPT535Cz3WXrYk3kaGceTR7w2mXn7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EhfkS6OvOmXMy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\nRESkU/8fs6yY7mVNDdEAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_ms_1_ 200\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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QIiLiUFU19Sxaf4i1qTkYwICYNkwZ1hW/Frww9sVQAUlERKSJqK618MHne3Ay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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_ms_2_ 2000\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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ccsuvXB1TRESakENZJcxfuQ9bSTVmk4mEzsEM7tWO3jHBjbq2ZFPm9DWQRERE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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "66Biv43rRLa0",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 102
+        },
+        "outputId": "c47e7977-d82d-4148-9922-34eec4b100c8"
+      },
+      "cell_type": "code",
+      "source": [
+        "print('=======================')\n",
+        "print('Train on lr_list...')\n",
+        "m = memory_size\n",
+        "b = batch_size\n",
+        "\n",
+        "for i,l in enumerate(lr_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
+        "\n",
+        "    agent_name = 'cnn_train_' + 'lr_' + str(i) + '_'\n",
+        "\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_CNN(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
+        "\n",
+        "    agent_CNN_train_list.append(agent_name)\n",
+        "    history_CNN_train_list.append(history)"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=======================\n",
+            "Train on lr_list...\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.001 batch_size=32\n",
+            "New Game: memory_size=2000 lr=0.0001 batch_size=32\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YZW9qQ-2aDP1",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1064
+        },
+        "outputId": "1e848b8e-f244-477b-ebfd-3b462fae9229"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(agent_CNN_train_list[-3],lr_list[-3])\n",
+        "visualization_score(history_CNN_train_list[-3])\n",
+        "print(agent_CNN_train_list[-2],lr_list[-2])\n",
+        "visualization_score(history_CNN_train_list[-2])\n",
+        "print(agent_CNN_train_list[-1],lr_list[-1])\n",
+        "visualization_score(history_CNN_train_list[-1])"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_lr_0_ 0.01\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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gz2/t5J+fHuSRn47A/RxWzDr4zfxHSZpAW0RERDqRwvJ61u7I56u9RTS12PBw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IhIm9RAEhERERERERGRNqmBJCIiIiIiIiIibVIDSURERERERERE2qQGkoiIiIiIiIiItMni7ABE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\nGWWN4fmjAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_lr_1_ 0.001\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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Yue228ca9CBERcQib3ca3p7ex27Kf9MJjVNmqAHA2ORHl14aYgCjaB7SjuU8Y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\nXmcQ12CcKYgAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_lr_2_ 0.0001\n"
+          ],
+          "name": "stdout"
+        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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Jz89v7LJERETOUlNrZ9Ene9h7rKh+WysvN8KDfHB3M5NXXEVJRe0Z7/1ySi96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\niIiMQLHBOJsavbyyqWXow7up49wsnTuO+XPG4vOF0lyhyJkJRcPvW5e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I1JSKygrSijJIzjvPmdxzHMk8TmphetX7/s6N6Obfka7+HfGwd7diUutTY6mW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             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -2063,24 +2214,118 @@
     },
     {
       "metadata": {
-        "id": "EU0QtVJ5FJN6",
+        "id": "ZFaRp8--Z4bb",
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 349
+          "height": 102
         },
-        "outputId": "ed8e452d-a01c-4af1-8fb2-be60d9bd0dca"
+        "outputId": "9ff6bac4-c08b-4851-acdf-01b1dc835cfe"
       },
       "cell_type": "code",
       "source": [
-        "visualization_score(history_fc)"
+        "print('=======================')\n",
+        "print('Train on batch_size...')\n",
+        "m = memory_size\n",
+        "l = lr\n",
+        "\n",
+        "for i,b in enumerate(batch_size_list) :\n",
+        "    print('New Game:','memory_size={}'.format(m),'lr={}'.format(l),'batch_size={}'.format(b))\n",
+        "\n",
+        "    agent_name = 'cnn_train_' + 'bs_' + str(i) + '_'\n",
+        "\n",
+        "    env = Environment(grid_size=size, max_time=T, temperature=0.3)\n",
+        "    agent = DQN_CNN(size, lr=l, epsilon=0.1, memory_size=m, batch_size=b)\n",
+        "    history = train(agent, env, epochs_train, prefix=agent_name)\n",
+        "\n",
+        "    agent_CNN_train_list.append(agent_name)\n",
+        "    history_CNN_train_list.append(history)"
+      ],
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=======================\n",
+            "Train on batch_size...\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=8\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=16\n",
+            "New Game: memory_size=2000 lr=0.01 batch_size=32\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "l9ub9LHHFNhd",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1064
+        },
+        "outputId": "e4722f3e-09aa-4e55-ed29-59112d872fea"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(agent_CNN_train_list[-3],batch_size_list[-3])\n",
+        "visualization_score(history_CNN_train_list[-3])\n",
+        "print(agent_CNN_train_list[-2],batch_size_list[-2])\n",
+        "visualization_score(history_CNN_train_list[-2])\n",
+        "print(agent_CNN_train_list[-1],batch_size_list[-1])\n",
+        "visualization_score(history_CNN_train_list[-1])"
       ],
-      "execution_count": 39,
+      "execution_count": 35,
       "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_bs_0_ 8\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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vf8drr83HZDLh6+vLo4/+mbKyMv7ylz/x7rsLcXFxYebM3xIf35s+ffrx29/e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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_bs_1_ 16\n"
+          ],
+          "name": "stdout"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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2bElxdkkiIiIi7dZtt80mO/uY/etbb53Jpk0b7V//4Q+/JSlpLNXVVc4oT0REpN1wcXYB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+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "stream",
+          "text": [
+            "cnn_train_bs_2_ 32\n"
+          ],
+          "name": "stdout"
+        },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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RkSE9tKikiIiIiIiISH1LK07ng0PLOFt8DqPBSBevEHr5dyPCtyuOdk3jTqJq\nLN1g3Jzt6R/agv6hLQAoKqngdEYRp9OL2LQnhY83HcfXw4nQdt42TioiIiIiIiLSONVYatiW+j2r\nkr+iqqaKAQF9GdcuCld7F1tHszrdauwG5+psT2iQN2P6tWXe7eEYjQbeXH2Qs9nnbR1NRERERERE\npNEpKC/kjYT3iT6+BkeTA78Om8W0Trc3yaYSqLHUqLQPdOfeMZ0oLa/mlRUJFJZU2DqSiIiIiIiI\nSKNxpjCV5/e8zOHcY3TxDmF+n98R7tvV1rFsSo2lRuamLs25dUBbsgvKeH3lASqraq55H1XVNRSV\nVFz0q7S8qh7SioiIiIiIiNwYDmYf5qW4tyiuOM/twWN5MPxe3B10YxGtsdQIjR8YRHpuCbsPZ/Lm\nqoMM792KDi3dsTP9dB8xr6icAydySEjKJvFULhWVlzakhnQP5M5hHa64HxEREREREZHG5ruzMXx6\n7AtMBiO/CptBN99QW0dqMNRYaoQMBgP3ju5MTmEZ8UnZxCdl4+RgomuQN+HtvLE3G8kvrqCguJz8\n4nLSsks4nfHfWxI293Im0KfZhdvM/b/UrPNsiTvLmcwiHpwQhqergw0+mYiIiIiIiIj1WCwWvjy5\nkfWnNtPM7Mz94ffQzr2NrWM1KGosNVL2ZhNPTOvBkTN5JCRdmIm090gme49kXvJak9FA5zaeRAT7\nENHeG38v50teU15RzQfrjxBzKIM/f7CHByaE0rGVhzU+ioiIiIiIiIhVpZ/PYG9GPHsy4skuzcHH\nyZu5Effi5+xr62gNjhpLjZidyUhokDehQd5MG9aBtJwSDp3MxWAADxeH//9lj7uLA2a7K1/e5mBv\nYs64LgQ1d+WzLcm8uCyOSYPbE9mzpS6NExERERERkRteSWUJ35/bw570OFKL0wCwN5rp07wHE4PH\nNtm7vv0cNZaaCIPBQKBPswuXuP2CfYzo05rW/q68ufogn36bxDf7Uhnbvy39Q5urwSQiIiIiIiI3\nnIySLLam7GDXub1U1FRiNBgJ8+lML//uhPl0wcFkb+uIDZoaS3LNOrXx5Nl7+7Du+9NsS0jjg6+P\nsPa7U4zp14aB4S3UYBIREREREZEG72TBGdaf2szBnMMAeDp4MKbVAG5q0QsXc90nZTQ1aixJnXi4\nOHDXiI6M7teGr3ddaDAt3XCU3Ycz+O3kCMx2JltHFBEREREREbnE+coSVid/zfdpu7FgIcitDZGt\nBxHh0xWTUT/LXis1luQX8XR1YNrwCw2mpeuPEp+UzVurE3nwtlBMRs1cEhERERERkYbBYrGwOz2W\nlUlfUlx5nhbN/JnScQIdPNtm5NOvAAAgAElEQVTbOtoNTY0luS48XBx4YEIoL69IIO54NkvWH+We\nUZ0wGAy2jiYiIiIiIiJNTG5ZHunnMymqKKaospiiimJOFJzmRMEp7I1mJrQfTWSrQZqhdB2osSTX\njdnOyEMTw/jHsjh27D+Hq5OZSUOCbR1LREREREREmoCiimJiM/ezNyOOEwWnL/uaMJ8uTOowHm8n\nTyuna7zUWJLrysnBjt9OjuD5j2L5OuYMLs5mRvVtY+tYIiIiIiIi0kidKjzDuhObOJJ3nBpLDQYM\nhHgG08GjPW72LrjYu+Bm74K7gxtejmooXW9qLMl15+Zsz2NTuvG3j/axYksyHi4O9Ova3NaxRERE\nREREpJHZcXYXK46tpspSTRvXVvRq3o0efuF4OLjbOlqTocaS1Atvd0d+NzmCv320j8VfHcHXw4ng\nQP3FFhERERERkV+usqaKz46u4vtzu2lm58z9XafR2bujrWM1Sbptl9SbQF8XHhgfSk2Nhdc/3092\nfqmtI4mIiIiIiMgNLq8sn5di3+T7c7tp5RLAE70fVlPJhjRjSepVaDtvpg3vwEcbj/HK5/uZP70n\nTg762omIiIiIiMjPq6yuJLU4jbPF50g7n05acTpnilIpr66gT/Me3BlyO/Yms61jNmn6CV/qXWSP\nlpzLKWHzvlTeWp3Iw3eEYTJqspyIiIi1xMTE8Mgjj9ChQwcAOnbsyK9+9Ssef/xxqqur8fX15cUX\nX8Te3p41a9awZMkSjEYjkydPZtKkSTZOLyIiTU11TTXH8pLZkxFHQtZByqrLa58zYMDHyYvIVoMY\nFNgPg8Fgw6QCDaCxtHLlSl555RVat24NQP/+/XnggQc4cuQIzzzzDAAhISE8++yzNkwpv9TUocFk\n5JVw4EQO7355mFsHtKWFdzNbxxIREWky+vTpw6uvvlr7+KmnnmLatGmMGjWKhQsXEh0dzYQJE1i0\naBHR0dGYzWbuuOMOhg8fjoeHhw2Ti4hIU1FUUcz6U5vZl5FAUWUxAJ4OHvRt0YuWLgEEujSneTN/\nHEz2Nk4q/8vmjSWA0aNH88QTT1y07a9//Svz588nPDycRx99lG3btnHLLbfYKKH8UiajkftvDeWF\nj2OJOZRBzKEMOrby4JaIAHqG+GJvNtk6ooiISJMSExNTe+JuyJAhvP/++wQFBREWFoarqysAPXr0\nIDY2lsjISFtGFRGRJuB0YQrvHFhKfnkBzczO3BzYj17+3Qlyb43RoCteGrIG0Vj6sYqKCs6ePUt4\neDhwYbCzc+dONZZucM6OdvxxVi/ijmexLT6Nw6fzOJaSz8eb7AjwbYZHM3s8XBxwd7EnJMiHID9n\nXTInIiJynSQlJXH//fdTUFDAQw89RGlpKfb2F874ent7k5WVRXZ2Nl5eXrXv8fLyIisry1aRRUSk\nifg+bQ/Lj31BdU0149pFMbz1YExGTT64UTSIxtLu3buZPXs2VVVVPPHEE3h7e+Pm5lb7/A+DHbnx\nme2M9OnsT5/O/mTmlbA94Ry7D2eQfLYAi+V/XrjtBH6eTozt15Z+of5qMImIiPwCbdu25aGHHmLU\nqFGkpKQwc+ZMqqura5+3XPSPMD+7/cc8PZ2xs6u/HwB8fV3rbd9yKdXbulRv61K9re9KNa+srmRx\n3Aq+Sf4PzeydeeSm2XRr0cWK6RofW3zHrdpYWrFiBStWrLho25gxY5g3bx6DBw8mLi6OJ554gnff\nffei12hQ0zj5+rrStaM/DwDVNRYKi8vJKSwjt7CMvYcy2LT7NO9/dZivYk4zaWhHhvRshdlODab6\nou+39anm1qV6W5fq3bD4+/szevRoAFq3bo2Pjw8HDhygrKwMR0dHMjIy8PPzw8/Pj+zs7Nr3ZWZm\n0q1bt5/df15eSb1l9/V1JSurqN72LxdTva1L9bYu1dv6rlTzoopi3jmwhBMFpwl0acGcsJn42Hnr\nz+gXqM/v+JXGdlZtLE2aNOmKdxbp3r07ubm5eHp6kp+fX7v9h8HOz9Gg5sbn7mDC3bcZfe6IYGj3\nANbtOs1/EtJ47bN43l19kLB2XkS09yG0nReuzlqw7XrR99v6VHPrUr2ty1aDGvlpa9asISsri9mz\nZ5OVlUVOTg4TJ05kw4YNjB8/no0bNzJo0CAiIiJ4+umnKSwsxGQyERsby/z5820dX0REGpnMkmze\nSHiPrNIcevpFML3zJOy1IPcNy+aXwv373/+mRYsWjB07lmPHjuHl5YW9vT3t2rVj79699OrVi40b\nNzJjxgxbRxUr83JzZMaIEMb2a8vGPWfYdzSL3Ycz2X04E4MB2ge4ExHsTUR7HwJ9m+k2kyIiIj8h\nMjKSxx57jM2bN1NZWckzzzxD586deeKJJ1i+fDkBAQFMmDABs9nMo48+yuzZszEYDMydO7d2IW8R\nEZHr4WTBad7a/wHFlecZ2SaSse2i9LPcDc5gudrrzOpJeno6v//977FYLFRVVdXeCS4pKYkFCxZQ\nU1NDREQETz311M/uqz7PRutst3Vdrt4Wi4W07PMkJOewPymb4/+zLpO3mwPhwT70DvEjpLWH/sd0\njfT9tj7V3LpUb+vSjKWmR2OwxkP1ti7V27pUb+v7cc0Tsg6yOHEZ1ZZqpnScwMDAm2yYrvFpEpfC\nXU7z5s358MMPL9keHBzMJ598YoNE0lAZDAYCfV0I9HVh9E1tKC6t5OCJHBKScziQnMOW2LNsiT1L\ncKA7tw5oS9cgLzWYREREREREbKjGUsOJgtPsTo/l+7TdmI12/DpsFqE+nW0dTa4TmzeWROrKxcnM\nTV2bc1PX5lTX1HA8pYCNe1KIT8pm4WcJtAtw49YBbQlr560Gk4iIiIiIiBWlFaezMe0btp/cTV75\nhTWUPR08uC9sBm3cWtk4nVxPaixJo2AyGunUxpNObTw5nV7E2u9PEXssi5dX7Cc0yIt7RnfG09XB\n1jFFREREREQavUM5R3kj4X0sWHA0OXJTi1709u9OB492mIz1dyd3sQ01lqTRadPclYcmhpGSWcxn\nW5I4eDKXBe/FMCMqhD6d/W0dT0REREREpNEqqihm6eHlGA1G5vadSZBDMPYms61jST0y2jqASH1p\n5efC7yZHMGNERyqra3hrdSLvrEnkfFmlraOJiIiIiIg0OhaLhY+PrKCoophb249kYJs+aio1AWos\nSaNmMBgY0qMlz97Th3YBbuw6lMGf3t9NXlG5raOJiIiIiIg0KjvSdnEg+zAhnsFEthpk6zhiJWos\nSZPg7+XMU9N7MPqmNuQWlrNk/REsFoutY4mIiIiIiDQK6ecz+Pz4lzSzc2ZmlykYDWo3NBX6k5Ym\nw2Q0cvst7eja1pP9yTns2H/O1pFERERERERueJU1VSxOXEZlTSXTOt+Bh4O7rSOJFamxJE2KwWDg\nntGdcXIwsWzzcXIKymwdSURERERE5IZksVg4U5jK0kOfklqcRv8WfejmG2rrWGJluiucNDlebo5M\njezA4q+PsPjrwzw6pRsGg8HWsURERERERG4ImSVZ7MmIZ29GHJkl2QAENGvO7R3G2TiZ2IIaS9Ik\nDQxvwb5jWexPzmFrfBpDugcCkJZ9nu0JaRw+nUfHVh7cEhFASz8XG6cVERERERGxnfOVJRzLS+ZI\n3nGO5SaRWXqhmWQ2munpF0Ev/2509g7BbFSLoSnSn7o0SQaDgVkjO/HHd2P47Nskamos7D6cwfHU\ngv9/HlIyi9m8L5X2AW7cHBFAn87+ONibbJxcRERERETEOs4UpvJ50lqS809h4cLNjxxNDoT5dKGH\nXzjhPl1wtHO0cUqxNTWWpMnydHXgruEd+feXh/h40zEAurb15OZugYS38+bgyVy2J6Rx8EQOyWmF\nfL79BA+M70pIa8/L7q/GYqGsvApnR7M1P4aIiIiIiMh1VVpVytoTG9ieuhMLFtq7t6WzV0dCvDrQ\nxrUlJqNOuMt/qbEkTdpNXf3JKSyjsqqGgeEt8PVwqn2uZ4gvPUN8yS4oZVt8GutjzvDisnimRAYz\nrFfLi9ZlOnmukI82HuNMRhGPTulGpzaXbz6JiIiIiIg0VBaLhdjMBKKPr6Wwogg/Zx+mdpxIiFew\nraNJA6bGkjRpBoOBsf3bXvE1Pu5O3H5Le0KDvHhzdSLLNh/nZHohs0Z2oryympXbkvlPwrn/nxgK\nS9Yf4c+z+2C2UxdfREREREQavtyyPPZlJLAnI46zxecwG+0YGxTFsDa3aN0k+Vn6hohcpZDWnvzp\n7t688cUBdiVmcDq9iILiCkrKqwj0bcZdwzoSdzybTXtTWPv9aSbe3M7WkUVERERERGpVVldSWFFM\ncWUxhRVFZJfmEpd5gOSCkwCYDCa6+YYxof1ofJ29bZxWbhRqLIlcA09XBx6f1oNlm4+zNe4sTg4m\n7hzagSE9ArEzGWnbwpXYY5l8ves0fTr70dJXd5QTERERERHbKCgv4mjecY7mJnE0L4m88vxLXmPA\nQAePdvT27043vzCamZ1tkFRuZGosiVwjs52RmVEh9A9tjp+nE27O9rXPOdrbMX1ECK9E72fJ+iM8\nNb0nxv9Zi0lEREREROR6KqooJvr4GvLKLm4ana8sIb0ks/ZxM7MznTw74Grviqt9M9zsXXG1dyHE\nMxhPRw9rx5ZGRI0lkToKDnS/7PaIYB96dfJj75FMtsWdZUiPllZOJiIiIiIiTUFmSRaL4t8juywX\nAxef0DabzHT26kgnrw6EeAYT6NICo8Foo6TSmKmxJFIPpg3rQOLJXKK3JdOtgy+erg62jiQiIiIi\nIo3IiYLTvLV/MecrSxjZdihjg0ZcdOdqEWtRu1KkHni4ODBpSHtKy6t56bMENu4+Q0Zuia1jiYiI\niIhIIxCfdZBX496mtKqMaSG3M65dlJpKYjOasSRST26OCODI6Tx2H87k02+T+PTbJPy9nIlo782w\nni3x8XCydUQREREREbmBFFYUsSVlB5tOb8VsMvPr0BmE+nS2dSxp4tRYEqknRoOB+8eHcufQcvYn\n55CQnEPiyVw27klhS9xZxtzUhpF9W2NvNtk6qoiIiIiINGCpRWl8m/If9mXEU2Wpxt3elfvD76G1\nm9ZzFdtTY0mknrm7ODAoIoBBEQFUVtWw50gGK7Yms2rHSXYcOMedQzvQrYOPpq6KiIiIiMhFckpz\n+ehINMfykgDwc/ZhSMtB9G3REweT/c+8W8Q61FgSsSKznZH+oS3o3sGXtd+dYtPeFF5beYBuwT48\nMCEUs52WPRMRERERkQt3fHsl7h3yywsI8QwmstUguniH6M5u0uCosSRiA04OdkyODGZgeAs+3HCU\n+KRsln1zjJkjO9k6moiIiIiI2Ni58xm8GvcOhRVFTGg/muFtBts6kshPUqtTxIYCfJrxm8kRtPJz\nYWt8Gt8dOGfrSCIiIiIiYkOpRWm8HPsWhRVFTOowXk0lafDUWBKxMQezibm3heLkYMfSDUc5k1F0\nxddbLBbO5Zxn4+4zrI85w9ns81gsFiulFRERERGR+nK6MIVX4t7mfGUJd4ZMZHCrAbaOJPKzdCmc\nSAPg5+nMfeO68Gr0fhZ9cYAFd/emmaO59vmq6hqOpeSTkJRDQnI2mXmltc99tiUJH3dHItr7EBHs\nTZe2XhiNWghcRERERORGEpu5nw8Pf0ZldSXTO0/ipha9bB1J5KqosSTSQHQL9mFs/zZ8+f1p/r32\nEPeM7szBEzkkJGVz8GQuZRXVADjYm+gZ4ktEex8MBtifnMPBkzlsjk1lc2wqnVp7cP+EUNycdZcI\nEREREZGGrrqmmrUnNrDpzFbsTfb8KnQ63fzCbB1L5KqpsSTSgEwY2I6TaYXsT87ht6/tqN3u6+HI\ngLAWdAv2oWMrj4vuHjcgrAVV1TUkpRawcU8K8UnZ/PmDPcy9LYygFm62+BgiIiIiInIViivOszjx\nE47kHcfPyYf7wmYS4NLc1rFErokaSyINiNFoYM6tXXk1ej8mk5FuwRcub2vu5YzB8NOXt9mZjHRq\n40nH1h58tfM0X2w/wfMfxTJjREcGRQRY8ROIiEhDVlZWxtixY3nwwQfp168fjz/+ONXV1fj6+vLi\niy9ib2/PmjVrWLJkCUajkcmTJzNp0iRbxxYRaZTOFKXy7wMfkluWR6h3Z2Z1mYqz2cnWsUSumRpL\nIg2Mq7M9f5hZt+upjQYDY/u3pU1zV95Zk8jir49wMr2IO4d2uGiWk4iINE1vvvkm7u7uALz66qtM\nmzaNUaNGsXDhQqKjo5kwYQKLFi0iOjoas9nMHXfcwfDhw/Hw8LBxchGRxiXm3D6WHf2cypoqRgcN\nZ1TboRgNGq/LjUnfXJFGKKydN3+8uzet/FzYGneWf3wSS15Rua1jiYiIDSUnJ5OUlMTgwYMBiImJ\nYejQoQAMGTKEnTt3kpCQQFhYGK6urjg6OtKjRw9iY2NtmFpEpHGpqqli+dFVLD28HDujHfeH382Y\noOFqKskNTd9ekUbKz8OJ+TN6clMXf5LTCnn2gz0cS8m3dSwREbGRv//97zz55JO1j0tLS7G3v3Cj\nB29vb7KyssjOzsbLy6v2NV5eXmRlZVk9q4hIY1RQXsSrce+w/ez3tGjmz+O95hHm08XWsUR+MV0K\nJ9KIOZhN3DeuC0Et3Fj+bRIvLotjcmQww3q2vOKaTSIi0risWrWKbt260apVq8s+b7FYrmn7j3l6\nOmNnZ6pzvp/j6+tab/uWS6ne1qV6W5ct6l1dU83WkztZfnAt+WWF9GvVkwd6T8fR7Gj1LLag77h1\n2aLeaiyJNHIGg4HhvVvR2t+FN1cdZNk3xzl6Jp87h3bA271p/GMmItLUbd26lZSUFLZu3Up6ejr2\n9vY4OztTVlaGo6MjGRkZ+Pn54efnR3Z2du37MjMz6dat28/uPy+vpN6y+/q6kpVVVG/7l4up3tal\neluXtetdY6khLvMAX57cQGZJNmajHbcFj2Foq5spyq+kiEqrZbEVfcetqz7rfaWGlRpLIk1ESGtP\nFtzdm7fXJBJ7LIuDJ3MY068tI/tc/uy1iIg0Hi+//HLt71977TUCAwOJi4tjw4YNjB8/no0bNzJo\n0CAiIiJ4+umnKSwsxGQyERsby/z5822YXETkxpSUf5Lo42tIKTqL0WBkYOBNjGo7FA8Hd1tHE7nu\nrL7G0u7du+nXrx9btmyp3XbkyBGmTp3K1KlT+dOf/lS7/d133+WOO+5g0qRJbNu2zdpRRRodLzdH\nnrirB7PHdMbRbOKL7Sf447u72XMo3dbRRETEyubNm8eqVauYNm0a+fn5TJgwAUdHRx599FFmz57N\nPffcw9y5c3F11SUMIiLXIubcPl6Je5uUorP08u/GH/s+xp0hE9VUkkbLqjOWzpw5w+LFi+nRo8dF\n2//6178yf/58wsPDefTRR9m2bRvt2rXjq6++4tNPP6W4uJhp06YxcOBATKb6u35fpCkwGgwMCGtB\n9w6+rN5xks37UvnzezH07eLP9BEdaeZotnVEERGpR/Pmzav9/eLFiy95fuTIkYwcOdKakUREGgWL\nxcL6U9/y5ckNONk58euwmXTwbG/rWCL1zqozlnx9fXn99dcvOvNVUVHB2bNnCQ8PB/57u9uYmBgG\nDRqEvb09Xl5eBAYGkpSUZM24Io2as6Mddw7rwDP39iaktScxhzJY8N5uEk/l2jqaiIiIiMgNpbqm\nmk+OfM6XJzfg5ejJYz0fVFNJmgyrNpacnJwumXGUl5eHm5tb7WPd7lbEulr6uvD3hwZy26AgCs9X\n8K9P4/l40zHKK6ttHU1EREREpMErKC/i7QNL+P7cblq5BvJYz7k0b+Zv61giVlNvl8KtWLGCFStW\nXLRt3rx5DBo06Irv+yW3u9WtbhsX1du67p0Qzs09W/OvT/axeV8q+0/kENW3DcP6tMbb3cnW8Rol\nfcetS/W2LtVbREQau5SiNLak/Ie9GfFUW6rp4hXC7NDpONo52DqaiFXVW2Np0qRJTJo06Wdf5+Xl\nRX5+fu3j/73d7cmTJy/ZfiW61W3joXpb1w/1dnc08fSMnnzxnxNsiTvLR+uP8PGGI0S09+HmbgGE\nt/fGaDDYOm6joO+4dane1mWrW92KiIjUtxpLDQeyD7Ml5T8czz8BgL+zL0NaDaR/iz6YjFoTWJoe\nqy7efTlms5l27dqxd+9eevXqxcaNG5kxYwZt27Zl8eLFzJs3j7y8PDIzMwkODrZ1XJFGz95sYkpk\nB24dEETMoQy2JaQRn5RNfFI23Tv48MCEUOxMVr+hpIiIiIiIzZRVlbHz3F62pn5HdmkOAJ29OjKk\n1UA6e3XEaND4WJouqzaWtm7dynvvvceJEydITEzkww8/5P3332f+/PksWLCAmpoaIiIi6N+/PwCT\nJ09m+vTpGAwGnnnmGYxG/WUVsRYnBzsGdw9kcPdATqcXsfzb48Qdz2bRygM8eFsYZjv9fRQRERGR\nxi2jJIsdZ3fxfdoeyqrLsDPa0b9FH4a0GkiAS3NbxxNpEAyWq1m86AZRn5c56DIK61K9retq6l1R\nWc1rKw+QeDKX8PbezL0tFHM9rmnW2Ok7bl2qt3XpUrimR2OwxkP1ti7V27qutt755QXEZiSwJyOO\nM0VnAXCzd+XmwP4MDOyLq71LfUdtNPQdty5bjcFsfimciNwY7M0mHr49jNdWHmB/cg6vrTzAvIlh\nai6JiIiISKNwpjCV1clfczQvCQsWjAYjXb070du/O938wjAb9eOzyOXob4aIXDWznYl5E8NY9MVB\n9ifn8PKK/UyJDKa1v2YQiIiIiMiNqbSqlLUnNrI99XssWGjn3pbe/t3p7hem2UkiV0GNJRG5JmY7\nE3NvC+PNVQeJT8rmmcV7aNvclZu7BdC3sz9ODvrfioiIiIg0fBaLhdjM/Xx+fA0FFUX4OfswteNE\nQrx00yiRa6GfAEXkmpntjDw0MYz9yTlsT0gjITmbpeuPsnxzEqP6tmbcgLYYDAZbxxQRERERuayC\n8iI+PrKCxJwj2BntGBs0gmFtButyN5E60N8aEakTo9FAtw4+dOvgQ25hGTsOnGNbfBqrdpzkfFkV\nU4cGq7kkIiIiIg1OQlYinxyJprjyPJ08OzAl5Db8nH1sHUvkhqXGkoj8Yl5ujtw6IIhbugXy4rI4\nNu1NwWKxcOewDmouiYiIiEiDUFZZxseHo/n+3G7MRjsmdRjPLS37a7wq8gupsSQi1417M3sev7M7\nL34axzf7UqmxWLhreMeL/rGuqKzGaDRgZzLaMKmIiIiINAUWi4W08+kczT3Od7tjSC/OoqVLALO6\nTCXApbmt44k0Cmosich15dbMnt/f2Z1/Lovn29izVFTV0NrPhdMZRZxOLyItuwRnRzvm3hZKSGtP\nW8cVERERkUakrKqMtPMZnC1O43jeCY7lJVNUWQyAAQPDWt/C2HZRWktJ5DrS3yYRue7cnO35/Z3d\n+Nen8ezYf652u73ZSFALV06lF/Gv5fHMGdeVXp38bJhURERERG5E1TXVZJZmk1Z8jrTidM6eTyet\nOJ2cstyLXudu70qf5j0I8QxmQHB3qs+bbJRYpPFSY0lE6oWrsz2P3dmd7w+cw8XZTJvmbrTwcsZo\nNJB4MpfXvzjAm6sOMnVYB4b3amXruCIiIiLSACXln+RkwWmKKoopqiymqKKYgvJCMkuyqLJUX/Ra\nV7MLIZ7BBLg0J6BZC4LcW9Pc2a92WQYvZ1eyzhfZ4mOINGpqLIlIvXFxMjOiT+tLtncN8uLJaT14\neUUCy745Tl5ROXcMbo9RCyeKiIiICFBQXsTKpLXszYi/5DlHkwMBLi0IcGlOYLPmtb93s3e1QVIR\nUWNJRGyiTXNX/jCjJws/S2B9zBkqq2q4a3hHW8cSERERERuqsdTwn7O7WJO8nrLqMtq4tWJE68F4\nOLrjanbF1b4Z9iZ7W8cUkf+hxpKI2IyPhxPzZ/Tk75/EsnlfKu1auNEvVHfnEBEREWmKzhaf46PD\nKzhTlIqTnRNTQ25jQEBfjAbdTVjkSkrKqvj+4DnCOvrh7+Zg9eOrsSQiNuXiZOah28L485I9LFl/\nhJZ+LrTyc7F1LBERERGxkhpLDVtSdrAm+WuqLNX09u/BxA5jdGmbyM8oKqlg095UNu9LpbS8isF5\npcy0wVUgaiyJiM35eznzqzFdeG3lARatPMCCu3vh7Gi2dSwRERERqWd5ZfksPfwZx/KScDW7ML3z\nJEJ9Ots6lkiDVV1Tw9ms/2PvzuOjrO+9/79mz57MZN9XspKFyL6DoqAIqIEiKtXaYxfrsb96H23V\n2tpzn9NT22Pvn6d626PiriioFRFZVAQU2SEsISH7vkySyT7JZGau+4/0RCkgWzKT5fN8PPIwXnPN\nxXu+DDPf+cx36WbfqUZ2Hq2lr9+Br5eOvPmJrFyUQndnr8szXbSw1N7ezvPPP4/ZbOZPf/oTn3/+\nOTk5OZhMJlfkE0KME5OSg7lxeixb9lXy4ubT/Oy2TFnMWwghzkP6ZkKIseJwYz5vF72P1W4lMyiN\nO1JX4quXketCfFtPr52iagultR2U1bVTXt9JX//AjogBPnpunZvA3JwIDDoNXh66kVlYevzxx5ky\nZQpHjx4FwGaz8cgjj/DCCy8MezghxPhyy9x4yus7OFbSzCf7KrlpRpy7IwkhxIgjfTMhxGhntVt5\n98yHHGg4gl6t4/aUW5kVMQ2VfKkoBP12ByW1HZyubKWgwkJ5fQeKMnCbCogI8iYx0o/k6ACmpIai\n07p/DbKLFpZaW1tZu3YtO3bsAGDx4sW8+eabwx5MCDH+aNRqfrQsgydfOch7u8o4VGQmJymI7KRA\nYkJ9ZQSTEEIgfTMhxOhW0lbOqwXrae21EOsbzfczVhPqFezuWEK4TXO7ldLaDkpr2ymt66CqsROH\nc6CSpFapSIz0Jz3WyIToAOLD/PDyGHkrGl1Sov7+/sHqcXNzMz09PcMaSggxfvl563kwL4t3Pi/h\nTHUblQ2dfPhlOf4+eiFkQ3cAACAASURBVK67Joobp8fKt1lCiHFP+mZCiNHG7rSzpfxTtlfuBGBx\n3LXcGHcdGrXGzcmEcD2nU+FosZkdB6s5U9M+eFyjVhET6kNSZADpcUaSowPwNIy8QtI/umjCO+64\ng7y8PMxmMz/+8Y85ceIEjz32mCuyCSHGqZhQX/7l9kn09NopqGglv6SZ/NIW3ttVhlOBm2fGuTui\nEEK4jfTNhBCjidXey776Q3xR/SXNva0Eepi4O2M1Cf5x7o4mhMtZ++zsya/j08M1NLcPrIWUEWck\nIz6QpEh/YkJ90OtGX7H1ooWlG2+8kdzcXI4ePYper+d3v/sdISEhrsgmhBjnvDy0TE4NYXJqCJbO\nPv799cN8sLsMH08dCyZFnnWutc/OuztLqKjvZNGUKKalh6JRu3++sRBCDDXpmwkhRoNmayu7ar5i\nb91Beh296NRa5kbOZFniYjy1Hu6OJ4TL5Zc089LHp+my9qPXqpmfE8G1k6OJDPJ2d7SrdtHC0saN\nGwd/7+7uZvfu3QDk5eUNXyohhPgHRl8D/2t1Dv/+xmHe2FaEt4eWqWmhAJypbuPFzQWDVf8XN59m\n01cVLJ0Rx4yJUmASQowt0jcTQoxUiqJQ2l7Bzuo95JtPoaDgr/dlUew8ZkdMx0c/+j9AC3G57A4n\n7+8uY+v+KrQaNSvmxLMwNwofT527ow2ZixaWDh8+PPi7zWbj+PHj5ObmSudFCOFyoSYvfrEqhz+8\ndYQXPipAr9NQXN3G1v1VoIKbZsQyOzOcbQer2ZNfx7otp/lobzk3zYhj5sQwtBopMAkhRj/pmwkh\nRhq7086RpuPsrN5DVWctANG+kSyMnkNuSBZa9chfI0aI4dDS3svzm05SWttBqNGTn6yYSEyor7tj\nDbmL/gv//e9/f9b/W61WfvWrXw1bICGE+C6xYb78821ZPP1uPs9sPA5ASIAnP1yaTlKUPwBrb0hh\n6YxYPt5XyZ78Ol75pJDNeyu48e+FJykwCSFGM+mbCSFGkhPNBWw48yEtvRZUqMgOnsjC6Dkk+sfJ\nhiti3Oq3O9h3qpF3d5bQ3WtnaloI31+cOioW4r4Sl/2oPD09qaqqGo4sQghxSVJjjfx4eQYvfXya\naWkhrFqYhIf+7Jczk58Hd12fwtIZcWzZV8muY3W8trWIzXsruGlGHHOzw2WKnBBiTJC+mRDCHSy9\nbWwo3kS++SRqlZp5UbNYGD2bIM9Ad0cTwm3au218cbSWnUdq6OjpR6tRs3ZxCvOyI8Z0ofWihaU1\na9ac1QCNjY2kpKQMayghhLiY3ORgJk0IuugLtNHXwB2LkrlpRiyf7Kvii2O1vL6tiL0n6/nh0nRC\njV4uSiyEEEPjSvpmVquVX/7yl7S0tNDX18dPf/pTUlNTefjhh3E4HAQHB/PHP/4RvV7Ppk2bePXV\nV1Gr1axatYqVK1cO90MSQowiDqeDnTVf8nH5DmwOG4n+8axOuYUInzB3RxPC5Xp67dQ2d1Fj7qak\npp2DhY3YHQpeBi1LpsVw7TVRmPzG/mL1Fy0s/fznPx/8XaVS4ePjQ2pq6rCGEkKIS3E5Vf8AHwO3\nXzeBG6fH8PZnxRw43cRv1h1g9cIJzMsZ298gCCHGlivpm+3cuZOJEyfyT//0T9TW1vKDH/yA3Nxc\n1qxZw5IlS3j66afZuHEjK1as4Nlnn2Xjxo3odDry8vJYtGgRAQEBw/2whBCjQFl7JeuL3qe2qx4f\nnTerklcwPewa6UeJcUFRFJosVgoqWimotFBR30FLR99Z54QaPblucjSzMsPOmVExll3wkX799dfn\nPd7W1sa+ffuYMWPGsIUSQojh4u9j4MfLJzJpQiOvbyvitW1FHCtp5u4lqQT4GNwdTwghLuhq+mY3\n3njj4O/19fWEhoayf/9+nnzySQAWLFjAunXriI+PJzMzE1/fgYVFc3NzOXLkCAsXLhzCRyKEGG26\n+3v4sPQTvqrbD8DM8KksT1qCj052eRNjk7XPjrnNirmtl+Z2K7Xmbk5Xtp5VSPLz1pMRZyQy2Ieo\nYB+iQ3yIDvVBPQ4LrRcsLD333HMXvJNKpZLCkhBiVJuWHkpydADrtpzmeGkL//rqIR5fOxmjrxSX\nhBAj01D0zVavXk1DQwPPP/8899xzD3q9HoDAwEDMZjPNzc2YTKbB800mE2az+erDCyFGHafipNna\nQpGllM1l2+jq7ybCO4zVKbeSGBDn7nhCXBZFUWhu76WqsZOeXjt9/Y7Bn55eOx09/XR02+jssdHR\nbaO7137ONbw9tExODSE91kh6nJHgAE8Zrfd3Fywsvf766xe807Zt24YljBBCuJLR18AvVmXz4Zfl\nbPqqgmfeO84v78jFoNO4O5oQQpxjKPpm69ev5/Tp0/zLv/wLiqIMHv/27992oeP/yGj0QqsdvtfO\n4OCxtzXzSCbt7Vojqb2P1p9kX/VRqtpqqe6ow+boB8Cg0XNn9q3cmLwQrXp095NGUnuPF65u8367\nE7Olh/qWbspq2ymqtFBUaaGtq+8776dSga+XnsAAT1IDPAk1eREW6E1YoBfhQT7EhPqiVo/8QpI7\nnuMXnfRXV1fHG2+8gcViAcBms7F//35uuOGGYQ8nhBDDTaVSsXx2PK0dfXx5op4XNxfwkxUTx+UQ\nViHE6HAlfbOTJ08SGBhIeHg4aWlpOBwOvL296e3txcPDg8bGRkJCQggJCaG5uXnwfk1NTeTk5Fw0\nk8XSc/UP7AKCg30xmzuH7fribNLerjVS2rvX3sd7xR+xt/4AAFqVhlDvECK8w4n0CeOa0GxMHkYs\nLcP3b90VRkp7jyfD3ea2fgfFte0UVLRSXteBuc1Ka0cf//i1iMnPwOTUEBLC/fD10mHQaTDoNRh0\nGjz0Gvy99fh46b5z1+iWlq5hexxDZTjb+7sKVhctLD388MPMnTuXnTt3cuedd/LZZ5/x1FNPDWlA\nIYRwJ5VKxdrFKTS1WTlcZOZve8q4dW6iu2MJIcR5XUnf7NChQ9TW1vLYY4/R3NxMT08Pc+bMYdu2\nbSxfvpzt27czZ84csrOzefzxx+no6ECj0XDkyBEeffRRFz0yIYQ7lLdX8krBepqtLUT5RLA65VZi\nfCPRjPKRSWJscjoVKhs7BxbQrrBQXNOO3eEEQAUE+BqYEB1AcIAHwf6eRAR5kxjpL8tdDLOLFpY0\nGg333Xcfe/bs4Y477iAvL49f/OIXzJw50xX5hBDCJbQaNT+7NZP//eohNu+tJMzkxcyJ4e6OJYQQ\n57iSvtnq1at57LHHWLNmDb29vTzxxBNMnDiRRx55hHfeeYeIiAhWrFiBTqfjoYce4t5770WlUnH/\n/fcPLuQthBhbHE4HWys/Z2vFZyiKwqKY+dyUcD069fjZyUqMXIqiYO1z0Nljo73bRo25i4IKC4WV\nFnr6vln/KCbEh7Q4I+lxJiZE+Y+rndhGkou2el9fHw0NDahUKqqrq4mIiKC2ttYV2YQQwqV8PHU8\nuDKLf3vtMK98UojRx0BanOnid/wO3b0DCwGGGr1GxZxsIcTIdyV9Mw8PD/7zP//znOMvv/zyOccW\nL17M4sWLhyyvEGLkKWuv4O3C96nrbsBoCGBt+vdINspobeFels4+Pj9Sw4HTjVg6bYMjkb4tyN9j\nYAHtOCOpsUb8vPRuSCr+0QULS42NjYSGhvLDH/6QvXv3cu+997J8+XI0Gg1Lly51ZUYhhHCZ8EBv\nfnrLRP78bj5/3pDPD5emMzUt9LKv095tY9v+Kj4/WoOt34lepyYmxJfYMF/iwny5broMxxVCXB7p\nmwkhrlZ3fw8flm7hq7qBtZRmhk/hlqSleOk83ZxMjGfl9R3sOFTNwdNNOJwKXgYt0SHe+Hnp8fXW\n4++tJzjAk9RYIyEB8lwdiS5YWLr55pvJyckhLy+PZcuWodVqOXDgAN3d3fj7+7syoxBCuFR6nImf\nr8rm2fdP8PyHp2jr7OP6qTGDtyuKwomyVrYfrMLhUIgNGygYxYb64mnQsu1AFV8crcVmd2L0NZCb\nHEBNUxdldR2U1LYDsOGLUm6dm8DsrHBZKFwIcUmkbyaEuFKW3jaONxewpXwHXf3dRHiHsTrlVhID\n4twdTYwziqLQ0t5LSV07ZbUdnKlpo6pxYFHsyCBvFk2JZnp6KHrZpXlUUSkX2Ee2r6+PHTt28Le/\n/Y3CwkJuvvlm8vLySEy8uiGSBw4c4MEHH+Tf//3fWbBgAQB33XUXPT09eHl5AfDII48wceJEXnzx\nRbZu3YpKpeJnP/sZ8+bN+85rD+dq87KDgGtJe7uWtPf5VTV28ucN+bR32bh+SjSrFiRxvKyFj74q\np7x+oL1UcM6uEzCw88RN02OZnRWBTjuwu4St30G1uYtT5a1s3V9Fr81BfLgvdyxKISHCz3UPbByS\n57hruWtHkrFuuPpmQ0H6YGOHtLdrDVd72xw2ClqKKLSUUGQppqlnYLdHvVrHTQnXsyBq9rhcnFue\n365TXt/BVyfq6bU76ejqw2Zz0NfvxNLVR0e3bfA8jVpFRryJRZOjSY8zopIvXK+Ku/pgFywsfVtT\nUxMfffQRH374IV5eXuTl5ZGXl3fZQaqqqvj973+PWq0mLy/vrMLSr3/9a5KTkwfPra6u5sEHH2T9\n+vV0dXWxZs0aPv74YzSaC78ASqdm7JD2di1p7wtrbrfy53fzqW/pwd9bT/vf3wgnpwRz86x4ggM8\nqGrsorKxk8qGTlo7epmaFsqszPDBgtL5qPVa/u/GfPYXNAIwJyuc2+Yl4ud9/nnijZYeDhQ0khDp\nT1qsUUY5XSZ5jruWFJaG31D1zYaK9MHGDmlv1xrq9rY77eytO8AnFZ/RYRu4rkGjZ0JAIimmJCYF\nZ2L0CBiyP2+0kef38HI6FY6cMbP9UDUlNe3n3G7QafDx1BIf7kdChD9Jkf7EhPrI6KQh5K4+2CUt\nmR4SEsK9997L/Pnzee655/jd7353RZ2X4OBg/vKXv/DYY49d9Nz9+/czZ84c9Ho9JpOJyMhISkpK\nSElJuew/VwghrlSQvye/uvMa/uu945TUtDM1LYSlM+OICvYZPCc5OoDk6MvrpAX6e/KjZRnMz4ng\nzR1n2HO8nkNFZm6ZE8+C3Eg06oGiVJ/Nwcf7Kti6vwq7Y+B7gOAAD+ZmRzArM5wAH1mrSYjxaKj6\nZkKIscGpODnUeIzNZdtp6W1Fr9GzKGY+WcHpxPpGj8vRScI17A4nFfWdnKpo5asT9TS39wKQmRDI\noslRTEoPp6vTil6rltFIY9hFC0vt7e1s3ryZDz74AJvNRl5eHo8//vgV/WGenhdeaOuZZ57BYrGQ\nmJjIo48+SnNzMybTN7sxmUwmzGazFJaEEC7n46njkTW5dFr78b/AiKIrlRJj5Df3TGHnkVo+2FPO\nW58Wszu/jjsWJdPZ08/6z4tp7ejD6Gtg6YxYyuo7OHi6ifd2lfHB7nLS44zEh/sR9/d1noy+BnnT\nFmKMG8q+mRBidOt32jnceIzPqnZT192AVqVhftQsbohbiJ9eRniKodNnc9DeY6Oz20ZHtw1zm5XT\nlRaKqtvotTkA0GvVzJ8UyXXXRBER5A1AgK+B/l7bd11ajAEXLCx9/vnnfPDBBxw+fJhFixbxxBNP\nkJWVdckX3rBhAxs2bDjr2AMPPMCcOXPOOXft2rWkpKQQExPDb37zG958881zzrmEGXsYjV5otcNX\njZfh964l7e1a0t4Xd/l7w323b7f57Uv8WTI7kde2FLDjQBV/eOsoAFqNmpXXTmDVtcl4GAZesrut\n/ew6WsO2fZWcLG/lZHnr4HUCfAysvj6Fm2bFD3Ha0U+e464l7T30rrZvJoQYOzptXeyp/ZrdtV/T\naetChYppYddwU/z1BHoa3R1PjBF9/Q52Hatjx8EqWjr6zntOqNGT6Rkm0mONpMcZ8fLQuTilGAku\nWFhat24deXl5/PGPf8TDw+OyL7xy5UpWrlx5SecuWrRo8PeFCxeyZcsWpk2bRnl5+eDxxsZGQkJC\nvvM6FkvPZee8VDIf17WkvV1L2tv1LtTmty9MYlpqCO/uLMHbQ8uqBUmEmrzo7LDy7bOnTAhiyoQg\nOrptg+s7VTZ0Ulhl4fn3j9NntTEnO8J1D2iEk+e4a8kaS8PjavtmQojRz+awsal0K3vq9mF32vHU\nenBtzFzmRc6SgpIYMtY+O58fqWH7wWo6e/ox6DRMTDDh76XH11uPn5eeAB89E6ICCPSX9yPxHYWl\nN954wyUBFEXhnnvu4ZlnnsHPz4/9+/czYcIEpk+fzssvv8wDDzyAxWKhqamJpKQkl2QSQgh3Sojw\n45d35F7SuX7eejITAslMCASgrrmb/3jzCK9sLcTbU0ducvBwRhVCuJCr+mZCiJGpqqOGVwreprHH\nTJCHiQUxc5geNhkPray3KK5MTVMXBwub6LL202tzYOt30NfvoKyug54+O54GLTfPjGPRlGh8PGUk\nkriwS1q8e6h88cUXvPTSS5SVlXHq1Clef/111q1bx6pVq7j77rvx9PQkNDSUBx54AE9PT1atWsWd\nd96JSqXit7/9LWr1hXdYEkIIARFB3vx8ZTZ/fPsoz394il+syiY1Vr7BFEIIIUYrp+JkR+UXbC7f\njlNxsjB6DssSFqPTyAd9cfn6bA4OnG5kd34dpXUd5z3H10vHrXMTWJgbhZeHS0sGYpRSKZeyeNEo\nIVvdjh3S3q4l7e16w93mp8pb+T8b8tFp1TyyJpfYsPE7fQjkOe5qMhVu/JE+2Ngh7e1aF2vvqs4a\nNp7ZRGl7Bf56P+5KX0WaKdmFCceW8fT8dioKzW1WzG29mNutmNusNFmsnCpvpdfmQAVkJgYyJyuc\nMJMXBp0GvV6Dh06Dbgh3cBtPbT4SuKsPJuVHIYQYgzLiTfzTzen89cNT/Oc7x5iTHU52YhCJkX5o\nZPSnEEIIMWI5FSfHmwvYWb2HkraBNWdzgjO5PfVWfHTebk4nRiJFUeiy9lPR0ElpbTtldR2D09n+\nkdHXwPVTopmTFSHrI4khI4UlIYQYo6amhdJrc/DWjjN8sq+KT/ZV4e2hJTMhkPmTIkmODnB3RCGE\nEEL8XXtfJ4caj7K7Zi/NvQM7vqaZklkYPYc0U/KQjSARo5uiKJwqb6Wg0oK5zfr3n16s/1BECjF6\nkpUYSIjRk+CAb378ffSo5bkkhpgUloQQYgybmx3BtPRQCist5Je2kF/SzL6CRg6fMfPondeM+yly\nQgghhDv12Kx8XX+IQw1HKbKUoKCgU2uZFTGVBdFzCPcOdXdEMUL09Tv4+mQDOw5VU9/yzW7oeq2a\noABPJkT5ExPqQ2KEPwkRfvh66d2YVow3UlgSQogxzqDTkJ0URHZSEMr1yRwuMvPc307y7Acn+M09\nU/D2kMU/hRBCCFdq7bXwSfmnHGw8Sr9zYKRJvF8Mk0MnMTk0Bx+9THkT4HA6qWjo5OiZZnYdq6W7\n145GrWJGRhizs8KJCPTCz1svo9mE20lhSQghxhGVSsXk1BBunhnHR3sreOGjAv45L0uGRAshhBAu\n0GnrYlvl5+yp+Rq74iDcJ4TJIQPFpCDPQHfHEyNAQ2vPwFS3ilYKqyxY+xwA+HjqWDozjgWTIjH6\nGtycUoizSWFJCCHGoeWz4ymr7+B4aQub91awbFa8uyMJIYQQY5bN0c+Oyp18Vr2bPocNk4eRpfHX\nc+PEubS0dLs7nnAjp1OhtK6dY8XNHC1upqH1m2luwQEeTE0LJS3WSE5SEHqdxo1JhbgwKSwJIcQ4\npFar+NGyDJ58+SAf7iknIdyPiQnyTakQQggx1Ko763il4G0auhvx1fmwLGEJsyKnoVNrUctOreNO\nv91BZWMXpbXtlNZ1cKbKQkdPPwB6nZpJE4LISgwkPc5EcICnm9MKcWmksCSEEOOUj6eOn94ykd+/\ncZi/bjrFE3dPkQ6MEEIIMUScipPPqnbzUdk2HIqDeVEzWZawBA+tTGMab6x9dg6cbmTvyQbK6jpw\nOJXB2/y99czJCmfShGDS44wyKkmMSlJYEkKIcSw+3I87r0/hlU8KefrdfH51Zy5+souIEEIIcVUs\nvW28WrCe4rYyfPU+3JW2iozAVHfHEi6kKAoVDZ3sOlbL/oIm+vodqFQQG+pLYqQ/iRF+JET6E+zv\nIYtvi1FPCktCCDHOzc2OoNHSwyf7qvjzu/k8fPskPA3y9iCEEEJcidMtZ3j51Ft023vICspgTept\n+Op93B1LuEhPbz9fn2pkd34d1U1dAAT6GVgyPYbZmeGY/DzcnFCIoSefHIQQQpA3L5Gunn72HK/n\nL++f4Ocrs9BpZSi2EEIIcakURWFH5RdsKtuKRqVmdcotzI6YLqNRxgFFUSipbWf3sToOFjZhsztR\nq1TkJgczLyeCjDgTarU8D8TYJYUlIYQQqFQq1i5OobvXzpEzZv57UwE/WTFROkFCCCHEJei19/L6\n6Xc5Zj5JgMGfH068i3j/GHfHEsOsrrmbfQWN7C9owNzWCwzs5DY3O4JZmeEE+Mh6WmJ8kMKSEEII\nADRqNT9als6f383n8Bkzr20r4vuLU+SbViGEEOICHE4HhZZi3i/eTENPE0kB8dw78U789L7ujiaG\ngdOpUNXUyanyVg4WNlHVODDVTa9TMz09lNlZ4aTGGlFL30mMM1JYEkIIMUin1fDAbVk89dZRdufX\nkRFvYkpqiLtjCSGEECOGoiiUd1RysOEYR5ry6ervBmBB9GxuSbwJjVqmko8lXdZ+Dp5upKDSQmGl\nhe5eOwAatYqcpCCmpYeSkxSEQS9/72L8ksKSEEKIs3gatPx4eQa/fukAb+04Q0acES8PnbtjCSGE\nEG7TYevkTGsJRZYSTrcWY+lrA8BX58O8qFlMDZtEnJ9MfRtLnIrCl8fr2bCzZLCYFOjnQW5yMOlx\nJjLiTfh4Sv9ICJDCkhBCiPMINXmxbFYc7+8uY+MXpaxdLFskCyGEGB+6+3uo66qntruBuq4Gytsr\nqetuGLzdS+vJ1LBcpoROIsWYJCOUxqCapi5e215ESU07Bp2G2+YlMCU1hOAAT1kiQIjzkMKSEEKI\n81o8LYb9pxv54lgd0zPCSI4OcHckIYQQYtgUW8p4/fS7tPS2nnVcp9aSapxAiimJVOMEonwjUKvU\nbkophpO5zcrnR2r49FANDqfCNcnB3H7dBEx+Hu6OJsSIJoUlIYQQ56XVqPn+4lR+//phXt1ayG/v\nmYpOKx1pIYQQY09FRxX/9/g67E4H6aYUInzCiPQJJ8I7jFDvEHRq+dg0VnV02zhY2MS+ggZKazsA\nCPL34I5FyWQnBbk5nRCjg7xCCiGEuKCkSH8W5Eby+ZFaPtlXybLZ8e6OJIQQQgyp2q56nj32EjZH\nP/dOvJNJIZnujiSGmaIoFFZa2HGohuOlLTgVBRWQFmtkenooU9NDMehkiqMQl0oKS0IIIb7TbfMS\nOVrczOavK4gJ8z1roUoPnYaoEB/3hRNCCCGuQmOPmf869gI9ditr074nRaUxztbvYM/xOnYcrKHG\n3AVAbJgvMzLCmJoWQoCPwc0JhRidpLAkhBDiO3katNyxKJm/vH+CZzYeP+f2+5alMz09zA3JhBCX\n46mnnuLw4cPY7XZ+9KMfkZmZycMPP4zD4SA4OJg//vGP6PV6Nm3axKuvvoparWbVqlWsXLnS3dGF\nGBYtVgv/dfQFOm1dfC95BdPCr3F3JDGEnE6FpjYrNU1d1Ji7qDV3U1LXTnuXDbVKxdS0EBZNjiYx\n0t/dUYUY9aSwJIQQ4qJyk4P58fIMqhq7Bo8pKHx6qIZ3PishOzEIT4O8pQgxUu3bt4/i4mLeeecd\nLBYLt9xyCzNmzGDNmjUsWbKEp59+mo0bN7JixQqeffZZNm7ciE6nIy8vj0WLFhEQIIv3i7HD4XSw\nv+EIm8u20W7rYHniEuZGzXR3LDFEapu72X2sjq9PNdBl7T/rNn8fPYunxXBtbhSB/rIgtxBDRT4F\nCCGEuCRT00KZmhZ61jGDVsPfvixn01flfG/hBDclE0JczJQpU8jKygLAz88Pq9XK/v37efLJJwFY\nsGAB69atIz4+nszMTHx9fQHIzc3lyJEjLFy40G3ZhRgqiqJw1HyCzWXbaexpQqfWsiLxRhbFznd3\nNHEV+mwOOnpsnKluY9exOkpq2wHw89IxIyOMqBBvooJ9iAr2YUJ8IM3NXRe5ohDicklhSQghxBVb\nMj2Gr07W8+mhGmZnRRAZ5H3Z17A7nOw8WkuQnweTkoOHIaUQQqPR4OXlBcDGjRuZO3cuX375JXq9\nHoDAwEDMZjPNzc2YTKbB+5lMJsxms1syCzFUFEWh0FLMptKtVHXWoFapmRUxlSVx12H0kNF4o4Wi\nKNSauzlabOZUhYXWjl46e/rp63cMnqMCMuJNzMuOIGdCEFrN2bvZqlQqF6cWYnyQwpIQQogrptNq\nuP3aZJ557zhv7TjD/1qdc1mdttrmbl78qIDKxk4ApqeHcsf1yXh76C5yTyHElfj000/ZuHEj69at\n4/rrrx88rijKec+/0PF/ZDR6odUO3w5KwcG+w3Ztca6x1N7FLeW8dfxvnGo6A8DM6GtYlXkzEb6h\nF7mn64yl9h5qXT02iqosHClsYv+pBhpbewBQqyDA14PIYB8CfA0E+BoID/Jmfm4UYYHf/SWXtLfr\nSZu7ljvaWwpLQgghrkp2UiBZiYEcL23hUJGZKakhwMAH0hNlLew5Xk+wvyfZSYEkRvqj1ahxKgPr\nM238ohS7w8mMjDAaWnvYV9BIUXUbP7gpjYw400X+ZCHE5dizZw/PP/88L774Ir6+vnh5edHb24uH\nhweNjY2EhIQQEhJCc3Pz4H2amprIycm56LUtlp5hyx0c7IvZ3Dls1xdnGyvtXdfVwOaybeQ3nwIg\n3ZTCzYk3EOMbBb1g7h0Zj3GstPdQ6Ot3UNfcTWVjJ2W1HZTWtVPf8s1ri6dBw9S0EHImBJGVEIjX\n+b6Ecjq/sz2lfpqYNQAAIABJREFUvV1P2ty1hrO9v6tgJYUlIYQQV0WlUnH7dRMoqGhl/WfFZCaY\nKKxsY9NX5VQ0fPPGtvVAFV4GLRMTTHR02yisasPHU8f3F2dwTUowDqeTj7+u5KOvKvjP9ce49poo\nbpgSTVCApxsfnRBjQ2dnJ0899RSvvPLK4ELcM2fOZNu2bSxfvpzt27czZ84csrOzefzxx+no6ECj\n0XDkyBEeffRRN6cX4vKcaink+eOv4FScJPjHsixhCROMCe6OJf5BS3sv+woaKK/vpMbchdli5dtj\nJA16DWmxRhIj/UiODiA1xnjO1DYhxMgghSUhhBBXLdToxeJpMWzeW8kjz39NZ08/KmByaghLpsXQ\n2dNPfmkzx0uaOXC6CYCcpCC+vyQVf++BNV40ajXLZsWTlRjICx8V8NnhGj47XENkkDdZSYFkJwaR\nGOmHRi2dSiEu15YtW7BYLPz85z8fPPYf//EfPP7447zzzjtERESwYsUKdDodDz30EPfeey8qlYr7\n779/cCFvIUaDqs4aXjz5BhqVmh9OvJOsoAxZV2cEsTucHC9tYXd+HSdKWwYLSd4eWpKjAwYW2Q7x\nJiHCn8ggb9Rq+bsTYjRQKZc6eX4UGM4hdjKEz7WkvV1L2tv1xmKb99kc/Pql/bS09zIlLYSbZ8YR\nGexz1jn/s/BmT5+dCVH+F+zs2/od7D3ZQH5JMwWVFvrtTmBgh5dZmeHMzY4g1OR1ydnGYnuPZO4a\nhi3cR/pgY8dobu8Wq4U/Hf4LnbYufjjxTnJCMt0d6aJGc3tfCkVRaLRYKa1tp7Sug6NnzLR32wBI\niPBjbnYEWYmB+HvrXVIAHOvtPRJJm7uWTIUTQggxqhn0Gh5fOxmb3UGQ//mnr6lUKqJCfM5727fp\ndRrmT4pk/qRI+vodFFZayC9p5mBhE5/sr+KT/VWkxgQwNyfiwussCCGEGDd6+q08d3wdHbZO8iYs\nGxVFpbGop9dOef3A+khldR2U1rbT3WsfvN3LoOXaa6KYlx1xSf0BIcToIIUlIYQQQ8bv79PahpJB\npyE7KYjspCBuv24Ch4vM7M6vo7CqjcKqNgCCAzyIDfMjLsyXtFgj8eF+Q55DCCHEyNTvtPPfJ16l\nobuRBVGzWRA9292RxhWnU2HTV+UcLjJT19x91jpJwQEeZCYEkhDhR2KkP9EhPrJOkhBjkBSWhBBC\njBo6rYbpGWFMzwijsbWHr042UF7XTkVDJ4cKmzhU2IQKeOSOXJKjA9wdVwghxDCy2ns5bj7Fl3X7\nKGuvJDt4IrdOWOruWONKv93Jf390isNFZgw6DSkxASRG+g8UkiL8h+ULJyHEyCOFJSGEEKNSqMmL\nW+cO7PKjKAotHb2cLGvltW1FbNlXKYUlIYQYg5yKkxPNpznYeJSTzQX0OwemWWUEpnJ3+mrUKhkN\n4yq9Njt/ef8EBRUWUqID+Oe8LDwN8vFSiPFI/uULIYQY9VQqFUH+nsyfFMneUw0cL22h1tx1zuLh\nQgghRq/WXguvFbxDcVsZAKFewUwOzWFy6CRCvILcnG586bL28+d38ymv72DShCB+vDwDnVbj7lhC\nCDeRwpIQQogxZcm0GP6r5gRbD1Rx703p7o4jhBBiCBxsOMo7Zz7Aau8lOyiDxfHXEu0T6ZKdxMSA\nnl475jYr5jYrH+wpo76lh1mZYdy9JBWNWkaKCTGeSWFJCCHEmJKdFER4oBf7TjVy69xEjL4Gd0cS\nQghxhXr6rbxz5gMONR5Dr9FzR+pKZoRPloLSELE7nLR09P69YDTw345uG302B339Az+9NgetHb1n\n7e4GcP2UaFYtTEItfxdCjHtSWBJCCDGmqFUqbpgawyufFLLjUDWrFiS5O5IQQohLpCgKZmszha0l\nFFkGfqx2K/F+MXw//XaCvQLdHXHUUhSFRouV0tp2yuo6KK1rp6apG6eiXPA+KkCv12DyNZAY6U+Q\nvwfBAZ7EhPiQGmuUAp8QAnBxYclut/PYY49RVVWFw+Hg4YcfZvLkyRQWFvLb3/4WgJSUFJ588kkA\nXnzxRbZu3YpKpeJnP/sZ8+bNc2VcIYQQo9SMjDA+2F3GF0drWTojzt1xhBBCnIdTcdJsbaWuu4G6\nrnrquhqo6KjG0tc2eI7Jw8h1MXNZFDMfjVrW8LlciqJQ0dDJvlONHChspL3LNnibVqMmPsKXMJMX\nwf6eBAcM/Pj76DHoNRh0GvRatRSPhBAX5dLC0ocffoinpydvv/02xcXF/OpXv2Ljxo3827/9G48+\n+ihZWVk89NBD7Nq1i4SEBLZs2cL69evp6upizZo1zJ49G41G3lCEEEJ8N51WzXWTo3hvVxm7jtWy\nNtro7khCCCG+5VRLEa8VrKerv/us4946LyYFZ5JimkCqcQJBniYpbFyivn4Hnd022ntsdHb3U9HQ\nwf6CRhotVgC8PbRMSw8lMcKPxEh/okN80GpkbSQhxNVzaWFp2bJlLF26FACTyURbWxs2m43a2lqy\nsrIAWLBgAV9//TVms5k5c+ag1+sxmUxERkZSUlJCSkqKKyMLIYQYpRZMimTz15XsOFTN7UvS3B1H\nCCHE3+2tO8DbRe+jUamZEjqJCJ8wIrzDiPQJJ8DgL4WkS6AoCvUtPZyutFBQ0cqZ6rZz1kAC0GvV\nTEsPZVp6KBPjTVJIEkIMC5cWlnQ63eDvr776KkuXLsViseDn5zd4PDAwELPZTEBAACaTafC4yWTC\nbDZLYUkIIcQl8fLQMS87gu0Hq9l1pIbseNPF7ySEEGLYKIrCx+U7+KTiU7x1Xvw4624S/OPcHWvU\nsHT2UVDRSkGFhdOVrbR9a1pbkL8HceF++Hnp8fPW4eetJ8jfk8wEEx56WVZXCDG8hu1VZsOGDWzY\nsOGsYw888ABz5szhzTff5NSpUzz//PO0traedY5ygcXjLnT824xGL7Ta4ZsqFxzsO2zXFueS9nYt\naW/XkzYffqtvSOOzwzW88OFJfnxrFvNzo+SbcBeR57cQ4tscTgdvFb7HvoZDBHmY+GnOvYR6Bbs7\n1ojW02unqMpCQYWFgspW6lt6Bm/z9dIxNS2E9DgTabFGggM83ZhUCDHeDVthaeXKlaxcufKc4xs2\nbODzzz/nueeeQ6fTDU6J+x+NjY2EhIQQEhJCeXn5Oce/i8XS8523X43gYF/M5s5hu744m7S3a0l7\nu560uevce1Mar28v4um3jrD7cDVrF6fi46m7+B3FFRvO57cUrIQYfbps3aw79SZFlhJifaP5SfY9\n+Op93B3L7ZxOhSZLD3XN3dj6HfTZHFhtdsrrOyiosFBe38H/fLdu0GnITAgkPc5IWqyRqBAf1PJF\niRBihHDpuMjq6mrWr1/PG2+8gcFgAAamxyUkJHDo0CEmT57M9u3bueuuu4iLi+Pll1/mgQcewGKx\n0NTURFKSbBkthBDi8kzPCGNKZgRPvXaQQ0VmimvauefGNLISZctqIYQYblWdNbxw4nVaey1kBWVw\nd8btGDR6d8dyC0VRaGjtGRiBVNFKYVUb1r5z10UC0KhVJEb6kx5rJD3OREKEn6yPJIQYsVxaWNqw\nYQNtbW3cd999g8deeuklHn30UZ544gmcTifZ2dnMnDkTgFWrVnHnnXeiUqn47W9/i1otL6ZCCCEu\nX1igN4+syWXbgSre313G/9mQzw9uTGN2Vri7owkhxJi1v/4wbxe9h93p4Kb4RSyOuxa1anz15xVF\noaKhk/0FjRwsbMLS2Td4W3CAB1PSQ1ErCga9BoNu4Cc8yJuU6AA8DbI2khBidFApl7J40SgxnNNK\nZNqKa0l7u5a0t+tJm7vWt9u7qrGTP7x1BEWB3907lSB/WZdiqMlUuPFH+mBjx1C0t91p573izeyu\n3Yun1oO7029nYtD42p2zydLD3pMN7C9opNFiBcDbQ0tGvOmsdZHk+e1a0t6uJ23uWu7qg0kZXAgh\nxLgSE+rL7dcms27LaV7eUshDq3NknQohhBgixZYy1he9T0NPE+HeodyXuZaQcbJIt6IoFFa1seNg\nNfklzSiAXqtmaloI09PDmJhgkulsQogxSQpLQgghxp1ZmWEcLmoiv7SFXUdrWZAb5e5IQggxqnXa\nuvhbyRb2NRxChYo5kTNYkXgjHlqDu6MNuy5rP8eKm9lxqJrqpi4AEiL8WJgbSW5yMB56+cglhBjb\n5FVOCCHEuKNSqVi7OJUnXtrPuztLyUgIJES2ahZCiMvmVJx8XX+QD0s+odveQ5RPBLen3kqcX4y7\now2b2uZuzlS3UVbbTmldBw2tAztTq1UqpqSGcP2UaBIj/d2cUgghXEcKS0IIIcYlo6+BNYuSeeGj\nAtZ9fJqH10ySKXFCCHEZarvqWV/0PmXtlRg0evImLGNu5Aw0ao27ow05a5+dA6cb2XWsjoqGb9Yv\n8TRoyIgzMiEqgFmZ4QT6e7gxpRBCuIcUloQQQoxb09NDOVxk5sgZM58dqmHRlGh3RxJCiBGv197H\nlood7Kz+EqfiZFJwJnnJywgwjK1ROk6nQkltO3tP1rO/oIm+fgcqFeQkBZEzIYjESH/CA73kSwkh\nxLgnhSUhhBDjlkqlYu0NKZypbuPdnSVotWrm50Sgkg8JQghxjp7+Ho40HWdrxedY+toI9DDxvZQV\nZASmujvakOmzOThZ3sqxYjP5pS10WfsBCPTzYMn0GGZnhmPyk1FJQgjxbVJYEkIIMa75eeu5/5aJ\nPPvBSV7fVkR5fQd3XZ+MTjv2pnIIIcTlsjlsnGg+zaHGY5xqKcShONCoNCyOu5YbYhei1+jcHXFI\ntHb08sm+KvYcr8NmdwLg76Nnfk4EuSnBpMeaUKvlSwchhDgfKSwJIYQY91JijDxx92Seff8kXx6v\np6api/tvyZS1MoQQ49rBhqOsL/qAXkcvAJE+4UwOzWFK6CSMHgFuTjc0miw9bNlXyVcnGnA4FQL9\nPJieEcqkCcHEhfvKNDchhLgEUlgSQgghgCB/T351Zy6vby/iqxMNPPnKQX5wUxo5SUHujiaEEC7l\ncDr4oPRjdlZ/iYfGwPWxC5gSOokInzB3R7tqiqJgbrNSUGHhZHkrR4vNKAqEmby4aUYs09JD0WrU\n7o4phBCjihSWhBBCiL/T6zT84MY0EsL9eOvTYp7ZeJycpCBWX5tEiNHL3fGEEGLYtfd28F/HXqC4\nrYwwrxDuy1xLqHeIu2NdFaeiUFDRysHTTZyutNDc3jt4W1SwD0tnxjI5JUSmugkhxBWSwpIQQgjx\nLSqVigW5UUyICuDNHWc4VtLMyfJWlkyL4cYZsfTZHFQ2dlLR0ElVYyeRQd4snx0vC34LIUa1nv4e\nytoreffrv9FitZATnMldaSvx0I7eKcGWzj6+PFHPnvy6wWKSt4eWa5KDSY8zkhZnItToKa/fQghx\nlaSwJIQQQpxHVIgPD6+ZxIHTTbzzeTEf7a1g24GqwUVd/8fhIjMeei2Lp8W4KakQQlweq91KsaWM\nsvZKarvqqetuoK2vHRgori9PWMKi2PmjsuCiKAqFVW18eqia/JIWnIqCQadhTlY4c7IiSIjwk5FJ\nQggxxKSwJIQQQlyASqViWnoo2UmBbN5byZEzZkKMnsSF+RIb5ovJ14Nn3jvOhp0lhJo8mTQh2N2R\nhRDivCo7qjneXEBRazGVnTU4lW+K5AEGf9JNKUT4hDFvwhRMyuib+tZvd7K/oJEdh6qpbuoCIDbU\nl3k5EUxLD8XTIB97hBBiuMgrrBBCCHERHnotefMTyZufeM5t/3xbFr9/8zD/vamAX92ZS0yorxsS\nCiHEhX1R8xUbznwIgFqlJtY3mlRTEsnGRCJ9IvDWfbOGXHCQL2Zzp7uiXja7w8mOQ9Vs219FR08/\napWKqWkhLJocTWKkv7vjCSHEuCCFJSGEEOIqxIb5ct/NGTz7/gn+/43H+fX3JxPgY3B3LCGEAODT\nql18UPIxvnofVqfcSooxCc9RvG7St52pbuO1bUXUNXfjaRiYknxtbhSB/mPj8QkhxGghe2kKIYQQ\nVyk3OZjb5idi6ezjmY3H6bXZ3R1JiPM6c+YM1113HW+88QYA9fX13HXXXaxZs4YHH3wQm80GwKZN\nm7jttttYuXIlGzZscGdkcRU+Kf+MD0o+JsDgz/+X+xNygieOiaJSZ4+NdR+f5j/ePEJ9czfzJ0Xy\n1E9msGpBkhSVhBDCDWTEkhBCCDEElkyLob6lm69ONPDLv+5j8dQYFkyKxKDXnHWetc9OcU0bUcE+\nmPzkA5BwnZ6eHv71X/+VGTNmDB575plnWLNmDUuWLOHpp59m48aNrFixgmeffZaNGzei0+nIy8tj\n0aJFBAQEuDG9uByKorC5bBtbKz/H5GHkwUn3EeQZ6O5YV0VRFKqbuthX0Mie/Dq6e+1Eh/iw9oYU\nmfImhBBuJoUlIYQQYgioVCq+vzgVo68Hnx6q5t2dJXyyv5LFU2PISgridEUr+aUtFFVZsDsUgvw9\n+M09U/D20Lk7uhgn9Ho9L7zwAi+88MLgsf379/Pkk08CsGDBAtatW0d8fDyZmZn4+g6sF5abm8uR\nI0dYuHChW3KLy+NwOniv5CN21ewl2DOQf550HyYPo7tjXTaH00mX1U5bZx/HS5vZV9BIfUsPAF4G\nLauvncC110SiUcsEDCGEcDcpLAkhhBBDRKtRc+vcBK6fEs2nh6rZcaiGDV+UsuGL0sFzYkJ8MPoa\nyC9t4YWPCvjnvCzUo3BLbzH6aLVatNqzu35WqxW9Xg9AYGAgZrOZ5uZmTCbT4Dkmkwmz2ezSrOLK\ndNg6WXfyTYrbygj3DuVnOT8kwDDyR/M4FYWSmnb2FTRSXN1Ge7eNbms/yrfO0WnVTE4NYXp6KJkJ\ngei0UlASQoiRQgpLQgghxBDz8dSxYs7fC0yHa6g1d5MWayQrMRCTnwdOp8KfN+RzvLSFzXsrWDYr\n3t2RhUBRlMs6/m1Goxdareai512p4GDZbfFiSloq+NPhv9JqbWNa1CR+OnUtnrorm27rivZ2OhXK\n6tr58lgtu47W0txmBcDToMXk50FsuB8BvgYCfAxMiA5gRmY4XmN0hKc8v11L2tv1pM1dyx3tLYUl\nIYQQYph4eejOWzRSq1X8aFkGT758gA/3lJMQ7sfEhNG9/okYnby8vOjt7cXDw4PGxkZCQkIICQmh\nubl58JympiZycnK+8zoWS8+wZQwO9sVs7hy26492iqKwt/4A7xb9DYfiZHnCEhbFzqerrZ8u+i/7\nesPV3v+zvlxJbQdlde2U13dg7XMA4GnQMDsrnOnpoaTGGFGrzx3F2d3ZS3dn75Dncjd5fruWtLfr\nSZu71nC293cVrKSwJIQQQriBj6eOn96Sye/fOMxfN53iN/dMIcjf092xxDgzc+ZMtm3bxvLly9m+\nfTtz5swhOzubxx9/nI6ODjQaDUeOHOHRRx91d1TxD+xOO0eajrOzeg9VnbV4a724J2MNaYHJ7o52\nlo4eGzsOVvPZ4Rp6bY7B4+GBXuQm+5GTFERWYiC6YRzxJoQQYnhJYUkIIYRwk/hwP9YsSua1rUU8\n98FJHrkjF4NOPlyJ4XHy5En+8Ic/UFtbi1arZdu2bfzpT3/il7/8Je+88w4RERGsWLECnU7HQw89\nxL333otKpeL+++8fXMhbuF9Xfzdf1u5jd81e2m2dqFCREzyRW5KWEuRpuvgFXMTS2cfW/VXsOlaL\nze7Ez1vPdZOjmBAVQEKEn2xcIIQQY4gUloQQQgg3mpcdQWltO1+daOD3rx/m/lszCQ6QkUti6E2c\nOJHXX3/9nOMvv/zyOccWL17M4sWLXRFLXIbDjfm8XfQ+VrsVD42BhdFzmBc1a8QUlBRF4Ux1G7vy\n6zhU2ITdoWDyM7BkWixzssLRS+FcCCHGJCksCSGEEG6kUqlYe0MqWo2aXcfq+N0rB/nRsgxZc0kI\nMchqt/LumQ850HAEvVrHLUk3MStiGp7aK1uce6h19NjYe6KB3fl1NLQOrLcVavJiybQYZk4MQ6uR\nHdyEEGIsk8KSEEII4WY6rZrvL04lPtyPN7YX8ed387llbgI3zYhFpTp3EVshxPhR0lbOqwXrae21\nEOsXzd3pqwnxCnZ3LABa2nsHprvl12F3ONFq1EzPCGVedgTJ0QHy+iWEEOOEFJaEEEKIEWJudgRR\nwT48+8EJ3t9dxpmaNm6bm0hsmKxvI8R4YLVbqe1qoK6rgdrueuq6GihvrwRgSdx1LIm7Fo3a/dPJ\nGi09bPm6kr0nG3A4FYL8PVg0OZoZE8Pw8ZS1k4QQYryRwpIQQggxgiRE+PGbu6fw102nOFnWysmy\nVnKSglg2O464MD93xxNCDLFeey/55lMcajxGoaUYp+IcvE2FiijfCFYlLyfBP85tGdu7bZTVtVNa\n20FpbTtnatpQFAgzeXHTjFimpYfKdDchhBjHpLAkhBBCjDB+3nr+1+ocTpW38uFX5RwraeZYSTPZ\niYHcsSiZIFncW4hRrcvWTZGlhHzzSY43F9Dv7AcgxjeKCcYEIr3DifAJI8wrBJ3GPSOAnIrC3hMN\nfPx1BY0W6+BxFRAb5sviaTFMTglBrZbpbkIIMd5JYUkIIYQYgVQqFRMTAsmIN1FQaWHTl+Xkl7bQ\n0nGCX3//GnRa90+HEUJcGqfipKi1hNOWMxS1llDTVTd4W4hXEFNCJzE5NGfErJ10prqNtz8tprKx\nE71WTVZiIAkRfiRG+hMf5oeXh3yEEEII8Q15VxBCCCFGMJVKRUacifRYI69tK2LXsTo27CxlzaJk\nd0cTQlyEoijkm0/yUdk2GnqaANCqtSQbk0gxJpEemEy0T+SIWOS6z+agobWHlz4p5Kv8gcLX9IxQ\n8uYlYvIbGbvPCSGEGJmksCSEEEKMAiqVitXXTuBMdRufHq4hI95EdlKQu2MJIS6gsLWYTaVbqeys\nRq1SMyN8CpNDc0jwj0PvhultjZYemixWOrptdPTY6Oi20dZlo7nNirm9l45u2+C5CRF+3H7tBBIj\n/V2eUwghxOgjhSUhhBBilDDoNPxoWQb/+7VDvPTxaX5371QCfAzujiWE+Jbu/h5eKXibgpYiAHJD\nsliacAOhbpjm5nQq5Jc2s+NgNYVVbec9R6NWEejnQXSckeAAT6ZOjCA50hf1CBhFJYQQYnSQwpIQ\nQggxisSE+rJyQRJvf1rMi5sL+MX3cuQDoBAjRIu1lWfz19HY00SKMYkVSTcS4xvl8hzWPjtfnajn\n00M1NLUNLLydFmskNdaIv7ceXy8dft56/L30GP0MaNTf7OgWHOyL2dzp8sxCCCFGLyksCSGEEKPM\ndddEcaq8leOlLWw7UMWSabHujiTEuFfVUcNzx9fRaevi2pi5rEi8EbVKffE7DpHWjl6OlTRztLiZ\nwkoLjv/X3r1HR1nf+x7/TGZyzyRkYCYhIQQIIUAIJAgIEi4qUAseT/fuga2UuNFebLHUtVgtSFoE\nl0su1t2lWCvuQisrcongVjwtiLeioCEIlAABCokQciFXJncCSWbOH+4zbCoVmzDP5PJ+/cX8nmHm\nO9/1LJ7v+vJ9fo/LLYvZT1NG99fM8XEaYA8zLBYAQO9CYwkAgG7GZDLp0TkjtHLTIf3Xx19oSP9w\nJQ2M9HVYQK91svq0NuVvUWt7q+Ym/m9Nj5vs1e9zu926XH9VhWV1Kiyt19niWhVVXJ8yGhgVpnFJ\nDk1NjVF4SIBXYwEAwNDGUltbm375y1/q4sWLam9v19KlSzVu3DhlZGSoublZISEhkqRly5Zp1KhR\n2rhxo959912ZTCb99Kc/1bRp04wMFwCALis8JECPPZCs/8g+ppffOqlfPXyHHJEhvg4L6DXcbrdK\nGst0qPyo9pV8KrPJTz9IyVCqfZRXvq+t3aUTX9To0OlKnbnoVF3j9c22zX4mJQ+KVGqiXalD+6lv\nBE9xAwAYx9DG0q5duxQcHKxt27bp3LlzWr58uXbu3ClJWrNmjYYNu/7o5OLiYu3evVvbt29XY2Oj\n5s+fr/T0dJnNZiNDBgCgyxoeH6mMbyXptT1n9OLO4/plxh0KCTL+aVNAb1LVXKPDFX/V5xXHVNFc\nKUmy+ofpR6P/XUMibu9tqW3tLhWU1OngqQod+VulmlraJEl9wgJ0R5JdCTERGhITrkHRVgX4UyMD\nAHzD0MbSAw88oPvvv1+SZLPZVFt786dTSFJubq6mTJmigIAA2Ww2xcbGqqCgQElJSUaFCwBAlzd1\nTIwu1TRp76FivfL2ST0xd4wsZuP2dQF6i6rmGv3p/F4dqciTW25Z/CxKs6doXHSakm1J8jd3rqnr\ncrt1usipC5fqVVLVpJKqRpXXNKvd5Zb0ZTNp1vg4TUyOUnyUVSY27QcAdBGGNpb8/a9fcDdv3uxp\nMknS+vXr5XQ6lZCQoMzMTFVXV8tms3mO22w2VVVV0VgCAODvzJ0+VBWXr+hYQbW2fnBOGbOGqa3d\nrZKqRhVVNOhy/VV9a0KcQplmAv5ptVfrtOfCh/qs7JBcbpcGhMVoely6Uu3JCrYEd/rz210ufX66\nUn/KKVJZdZNnPdDfrPhoq+KjrBo33KGkuD7y86OZBADoerzWWNqxY4d27Nhxw9rixYs1ZcoUbdmy\nRfn5+dqwYYMk6eGHH1ZSUpIGDhyolStXasuWLV/5PLfbfcvvjIwMkcXivTFgu93qtc/GV5FvY5Fv\n45FzY/X0fGc+eqeW/Xa/9v21VAWldbpU3eSZdJCkgACLHvlfyYbF09PzjZ6v5opT+0oOaH/pQbW6\nWuUI7qf7h8xSmmP0bXnaW1u7Szkny/Xng0WqdF6Rn8mku0ZF645hdsU6wtQvIkh+TCUBALoBrzWW\n5s6dq7lz535lfceOHfroo4/0u9/9zjPBNHPmTM/xe+65R7t379add96p8+fPe9YrKirkcDi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48TU0gN/85h7++c83MJlM+Pr68uij/4/y8nKeeup/+eijE1Mn3HXXb4mPT6R3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             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -2093,26 +2338,26 @@
     },
     {
       "metadata": {
-        "id": "8oSFGj02gDOr",
+        "id": "qe7FjLrPixTN",
         "colab_type": "code",
-        "outputId": "61a0c83e-d790-48a2-f43a-114ef4b66059",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 293
-        }
+        },
+        "outputId": "903aecdc-46dd-487d-d2e9-c2bd2e34b8ac"
       },
       "cell_type": "code",
       "source": [
-        "HTML(display_videos('cnn_test10.mp4'))"
+        "HTML(display_videos(agent_CNN_train_list[-1]+'100.mp4'))"
       ],
-      "execution_count": 40,
+      "execution_count": 37,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/html": [
               "<video alt=\"test\" controls>\n",
-              "                <source 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+              "                <source 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type=\"video/mp4\" />\n",
               "             </video>"
             ],
             "text/plain": [
@@ -2122,45 +2367,2018 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 40
+          "execution_count": 37
         }
       ]
     },
     {
       "metadata": {
-        "id": "SqVzfn-BgDOy",
+        "id": "DuheJzp2OiJy",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Conclusion**\n",
+        "\n",
+        "For the Convolutionnal NN Architecture (CNN), we privilegy a small batch set (8) or large (32), a not-too small learning rate (0.01) and a large memory capacity (2000).\n",
+        "\n",
+        "In fact, we suspect that the training is subject of some fluctuant convergence."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "XHvq1M8sgDOf",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "***\n",
+        "__Question 9__ Test both algorithms and compare their performances. Which issue(s) do you observe? Observe also different behaviors by changing the temperature."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mSrF4ANbgDOk",
         "colab_type": "code",
-        "outputId": "9c9402bb-f538-49e8-9ec4-31bcf69ca67f",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 293
+          "height": 31535
+        },
+        "outputId": "c958b60c-0a60-438e-ba8f-5aa258f0de01"
+      },
+      "cell_type": "code",
+      "source": [
+        "epochs_test = 100\n",
+        "epsilon_test = 0.1 # 0.1\n",
+        "temperature_test = 0.3\n",
+        "\n",
+        "env = Environment(grid_size=size, max_time=T, temperature=temperature_test)\n",
+        "\n",
+        "for i in range(len(agent_CNN_train_list)) :\n",
+        "    print('=========================================================')\n",
+        "    print('Model n°{}'.format(i))\n",
+        "    \n",
+        "    agent_cnn = DQN_CNN(size, lr=.1, epsilon = epsilon_test, memory_size=2000, batch_size = 32)\n",
+        "    agent_cnn.load(name_weights=agent_CNN_train_list[i]+'model.h5',name_model=agent_CNN_train_list[i]+'model.json')\n",
+        "\n",
+        "    agent_fc = DQN_FC(size, lr=.1, epsilon = epsilon_test, memory_size=2000, batch_size = 32)\n",
+        "    agent_fc.load(name_weights=agent_FC_train_list[i]+'model.h5',name_model=agent_FC_train_list[i]+'model.json')\n",
+        "\n",
+        "    print('Test of the CNN')\n",
+        "    history_cnn = test(agent_cnn,env,epochs_test,prefix='cnn_test')\n",
+        "    print('Test of the FC')\n",
+        "    history_fc = test(agent_fc,env,epochs_test,prefix='fc_test')"
+      ],
+      "execution_count": 57,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "=========================================================\n",
+            "Model n°0\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 3.5/0. Average score (1.75)\n",
+            "Step 2: Win/lose count 1.5/1.0. Average score (1.3333333333333333)\n",
+            "Step 3: Win/lose count 5.0/3.0. Average score (1.5)\n",
+            "Step 4: Win/lose count 3.5/4.0. Average score (1.1)\n",
+            "Step 5: Win/lose count 2.5/1.0. Average score (1.1666666666666667)\n",
+            "Step 6: Win/lose count 0.5/1.0. Average score (0.9285714285714286)\n",
+            "Step 7: Win/lose count 3.5/2.0. Average score (1.0)\n",
+            "Step 8: Win/lose count 2.5/2.0. Average score (0.9444444444444444)\n",
+            "Step 9: Win/lose count 3.0/2.0. Average score (0.95)\n",
+            "Step 10: Win/lose count 4.0/0. Average score (1.2272727272727273)\n",
+            "Step 11: Win/lose count 0/1.0. Average score (1.0416666666666667)\n",
+            "Step 12: Win/lose count 2.0/3.0. Average score (0.8846153846153846)\n",
+            "Step 13: Win/lose count 5.5/1.0. Average score (1.1428571428571428)\n",
+            "Step 14: Win/lose count 2.5/3.0. Average score (1.0333333333333334)\n",
+            "Step 15: Win/lose count 2.0/1.0. Average score (1.03125)\n",
+            "Step 16: Win/lose count 1.0/1.0. Average score (0.9705882352941176)\n",
+            "Step 17: Win/lose count 3.5/5.0. Average score (0.8333333333333334)\n",
+            "Step 18: Win/lose count 3.5/0. Average score (0.9736842105263158)\n",
+            "Step 19: Win/lose count 2.5/5.0. Average score (0.8)\n",
+            "Step 20: Win/lose count 4.0/0. Average score (0.9523809523809523)\n",
+            "Step 21: Win/lose count 5.5/2.0. Average score (1.0681818181818181)\n",
+            "Step 22: Win/lose count 3.0/2.0. Average score (1.065217391304348)\n",
+            "Step 23: Win/lose count 4.0/5.0. Average score (0.9791666666666666)\n",
+            "Step 24: Win/lose count 1.5/4.0. Average score (0.84)\n",
+            "Step 25: Win/lose count 2.5/3.0. Average score (0.7884615384615384)\n",
+            "Step 26: Win/lose count 3.5/5.0. Average score (0.7037037037037037)\n",
+            "Step 27: Win/lose count 1.5/2.0. Average score (0.6607142857142857)\n",
+            "Step 28: Win/lose count 3.0/3.0. Average score (0.6379310344827587)\n",
+            "Step 29: Win/lose count 4.0/6.0. Average score (0.55)\n",
+            "Step 30: Win/lose count 4.0/1.0. Average score (0.6290322580645161)\n",
+            "Step 31: Win/lose count 4.5/2.0. Average score (0.6875)\n",
+            "Step 32: Win/lose count 2.5/7.0. Average score (0.5303030303030303)\n",
+            "Step 33: Win/lose count 5.0/3.0. Average score (0.5735294117647058)\n",
+            "Step 34: Win/lose count 5.0/2.0. Average score (0.6428571428571429)\n",
+            "Step 35: Win/lose count 5.0/5.0. Average score (0.625)\n",
+            "Step 36: Win/lose count 3.5/1.0. Average score (0.6756756756756757)\n",
+            "Step 37: Win/lose count 2.5/4.0. Average score (0.618421052631579)\n",
+            "Step 38: Win/lose count 3.0/1.0. Average score (0.6538461538461539)\n",
+            "Step 39: Win/lose count 4.0/4.0. Average score (0.6375)\n",
+            "Step 40: Win/lose count 2.5/1.0. Average score (0.6585365853658537)\n",
+            "Step 41: Win/lose count 3.0/3.0. Average score (0.6428571428571429)\n",
+            "Step 42: Win/lose count 2.0/0. Average score (0.6744186046511628)\n",
+            "Step 43: Win/lose count 5.0/2.0. Average score (0.7272727272727273)\n",
+            "Step 44: Win/lose count 4.5/3.0. Average score (0.7444444444444445)\n",
+            "Step 45: Win/lose count 5.0/2.0. Average score (0.7934782608695652)\n",
+            "Step 46: Win/lose count 2.0/4.0. Average score (0.7340425531914894)\n",
+            "Step 47: Win/lose count 1.5/4.0. Average score (0.6666666666666666)\n",
+            "Step 48: Win/lose count 2.5/1.0. Average score (0.6836734693877551)\n",
+            "Step 49: Win/lose count 1.5/4.0. Average score (0.62)\n",
+            "Step 50: Win/lose count 2.5/2.0. Average score (0.6176470588235294)\n",
+            "Step 51: Win/lose count 2.0/5.0. Average score (0.5480769230769231)\n",
+            "Step 52: Win/lose count 1.5/2.0. Average score (0.5283018867924528)\n",
+            "Step 53: Win/lose count 2.0/1.0. Average score (0.5370370370370371)\n",
+            "Step 54: Win/lose count 5.0/2.0. Average score (0.5818181818181818)\n",
+            "Step 55: Win/lose count 3.0/3.0. Average score (0.5714285714285714)\n",
+            "Step 56: Win/lose count 3.5/3.0. Average score (0.5701754385964912)\n",
+            "Step 57: Win/lose count 1.0/1.0. Average score (0.5603448275862069)\n",
+            "Step 58: Win/lose count 0.5/4.0. Average score (0.4915254237288136)\n",
+            "Step 59: Win/lose count 1.5/3.0. Average score (0.4583333333333333)\n",
+            "Step 60: Win/lose count 1.0/1.0. Average score (0.45081967213114754)\n",
+            "Step 61: Win/lose count 1.0/1.0. Average score (0.4435483870967742)\n",
+            "Step 62: Win/lose count 4.0/0. Average score (0.5)\n",
+            "Step 63: Win/lose count 1.0/0. Average score (0.5078125)\n",
+            "Step 64: Win/lose count 1.5/5.0. Average score (0.4461538461538462)\n",
+            "Step 65: Win/lose count 4.0/2.0. Average score (0.4696969696969697)\n",
+            "Step 66: Win/lose count 6.0/2.0. Average score (0.5223880597014925)\n",
+            "Step 67: Win/lose count 3.5/4.0. Average score (0.5073529411764706)\n",
+            "Step 68: Win/lose count 5.5/1.0. Average score (0.5652173913043478)\n",
+            "Step 69: Win/lose count 1.5/2.0. Average score (0.55)\n",
+            "Step 70: Win/lose count 0.5/2.0. Average score (0.5211267605633803)\n",
+            "Step 71: Win/lose count 1.5/3.0. Average score (0.4930555555555556)\n",
+            "Step 72: Win/lose count 1.0/1.0. Average score (0.4863013698630137)\n",
+            "Step 73: Win/lose count 1.5/3.0. Average score (0.4594594594594595)\n",
+            "Step 74: Win/lose count 3.0/6.0. Average score (0.41333333333333333)\n",
+            "Step 75: Win/lose count 2.0/1.0. Average score (0.42105263157894735)\n",
+            "Step 76: Win/lose count 2.5/1.0. Average score (0.43506493506493504)\n",
+            "Step 77: Win/lose count 2.5/1.0. Average score (0.44871794871794873)\n",
+            "Step 78: Win/lose count 2.5/4.0. Average score (0.4240506329113924)\n",
+            "Step 79: Win/lose count 2.5/2.0. Average score (0.425)\n",
+            "Step 80: Win/lose count 5.0/2.0. Average score (0.4567901234567901)\n",
+            "Step 81: Win/lose count 4.0/2.0. Average score (0.47560975609756095)\n",
+            "Step 82: Win/lose count 4.0/1.0. Average score (0.5060240963855421)\n",
+            "Step 83: Win/lose count 5.0/2.0. Average score (0.5357142857142857)\n",
+            "Step 84: Win/lose count 1.5/2.0. Average score (0.5235294117647059)\n",
+            "Step 85: Win/lose count 3.0/2.0. Average score (0.5290697674418605)\n",
+            "Step 86: Win/lose count 3.5/2.0. Average score (0.5402298850574713)\n",
+            "Step 87: Win/lose count 5.0/1.0. Average score (0.5795454545454546)\n",
+            "Step 88: Win/lose count 0.5/1.0. Average score (0.5674157303370787)\n",
+            "Step 89: Win/lose count 3.5/2.0. Average score (0.5777777777777777)\n",
+            "Step 90: Win/lose count 1.5/0. Average score (0.5879120879120879)\n",
+            "Step 91: Win/lose count 2.5/1.0. Average score (0.5978260869565217)\n",
+            "Step 92: Win/lose count 3.5/4.0. Average score (0.5860215053763441)\n",
+            "Step 93: Win/lose count 5.0/1.0. Average score (0.6223404255319149)\n",
+            "Step 94: Win/lose count 3.0/2.0. Average score (0.6263157894736842)\n",
+            "Step 95: Win/lose count 2.5/2.0. Average score (0.625)\n",
+            "Step 96: Win/lose count 4.0/2.0. Average score (0.6391752577319587)\n",
+            "Step 97: Win/lose count 1.0/2.0. Average score (0.6224489795918368)\n",
+            "Step 98: Win/lose count 4.0/1.0. Average score (0.6464646464646465)\n",
+            "Step 99: Win/lose count 3.0/2.0. Average score (0.65)\n",
+            "Step 100: Win/lose count 1.0/1.0. Average score (0.6435643564356436)\n",
+            "Final score: 0.65\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 5.0/4.0. Average score (0.5)\n",
+            "Step 2: Win/lose count 6.5/1.0. Average score (2.1666666666666665)\n",
+            "Step 3: Win/lose count 1.5/0. Average score (2.0)\n",
+            "Step 4: Win/lose count 4.0/4.0. Average score (1.6)\n",
+            "Step 5: Win/lose count 4.0/4.0. Average score (1.3333333333333333)\n",
+            "Step 6: Win/lose count 6.5/1.0. Average score (1.9285714285714286)\n",
+            "Step 7: Win/lose count 2.0/5.0. Average score (1.3125)\n",
+            "Step 8: Win/lose count 7.5/4.0. Average score (1.5555555555555556)\n",
+            "Step 9: Win/lose count 4.0/4.0. Average score (1.4)\n",
+            "Step 10: Win/lose count 4.0/1.0. Average score (1.5454545454545454)\n",
+            "Step 11: Win/lose count 2.0/3.0. Average score (1.3333333333333333)\n",
+            "Step 12: Win/lose count 4.5/2.0. Average score (1.4230769230769231)\n",
+            "Step 13: Win/lose count 4.0/0. Average score (1.6071428571428572)\n",
+            "Step 14: Win/lose count 3.5/6.0. Average score (1.3333333333333333)\n",
+            "Step 15: Win/lose count 3.0/1.0. Average score (1.375)\n",
+            "Step 16: Win/lose count 5.0/3.0. Average score (1.411764705882353)\n",
+            "Step 17: Win/lose count 5.0/8.0. Average score (1.1666666666666667)\n",
+            "Step 18: Win/lose count 8.5/5.0. Average score (1.2894736842105263)\n",
+            "Step 19: Win/lose count 5.0/4.0. Average score (1.275)\n",
+            "Step 20: Win/lose count 5.5/3.0. Average score (1.3333333333333333)\n",
+            "Step 21: Win/lose count 3.5/1.0. Average score (1.3863636363636365)\n",
+            "Step 22: Win/lose count 5.5/2.0. Average score (1.4782608695652173)\n",
+            "Step 23: Win/lose count 6.0/6.0. Average score (1.4166666666666667)\n",
+            "Step 24: Win/lose count 3.5/5.0. Average score (1.3)\n",
+            "Step 25: Win/lose count 5.5/3.0. Average score (1.3461538461538463)\n",
+            "Step 26: Win/lose count 6.0/3.0. Average score (1.4074074074074074)\n",
+            "Step 27: Win/lose count 5.0/1.0. Average score (1.5)\n",
+            "Step 28: Win/lose count 2.0/6.0. Average score (1.3103448275862069)\n",
+            "Step 29: Win/lose count 4.0/1.0. Average score (1.3666666666666667)\n",
+            "Step 30: Win/lose count 3.0/2.0. Average score (1.3548387096774193)\n",
+            "Step 31: Win/lose count 3.5/4.0. Average score (1.296875)\n",
+            "Step 32: Win/lose count 4.0/1.0. Average score (1.3484848484848484)\n",
+            "Step 33: Win/lose count 4.0/11.0. Average score (1.1029411764705883)\n",
+            "Step 34: Win/lose count 5.5/3.0. Average score (1.1428571428571428)\n",
+            "Step 35: Win/lose count 8.0/8.0. Average score (1.1111111111111112)\n",
+            "Step 36: Win/lose count 6.5/1.0. Average score (1.2297297297297298)\n",
+            "Step 37: Win/lose count 2.0/1.0. Average score (1.2236842105263157)\n",
+            "Step 38: Win/lose count 2.5/1.0. Average score (1.2307692307692308)\n",
+            "Step 39: Win/lose count 1.0/1.0. Average score (1.2)\n",
+            "Step 40: Win/lose count 1.5/4.0. Average score (1.1097560975609757)\n",
+            "Step 41: Win/lose count 1.0/2.0. Average score (1.0595238095238095)\n",
+            "Step 42: Win/lose count 5.5/2.0. Average score (1.1162790697674418)\n",
+            "Step 43: Win/lose count 6.5/2.0. Average score (1.1931818181818181)\n",
+            "Step 44: Win/lose count 5.0/5.0. Average score (1.1666666666666667)\n",
+            "Step 45: Win/lose count 3.5/5.0. Average score (1.108695652173913)\n",
+            "Step 46: Win/lose count 4.5/3.0. Average score (1.1170212765957446)\n",
+            "Step 47: Win/lose count 6.0/4.0. Average score (1.1354166666666667)\n",
+            "Step 48: Win/lose count 1.5/5.0. Average score (1.0408163265306123)\n",
+            "Step 49: Win/lose count 6.0/1.0. Average score (1.12)\n",
+            "Step 50: Win/lose count 4.0/3.0. Average score (1.1176470588235294)\n",
+            "Step 51: Win/lose count 5.0/2.0. Average score (1.1538461538461537)\n",
+            "Step 52: Win/lose count 5.0/4.0. Average score (1.150943396226415)\n",
+            "Step 53: Win/lose count 2.5/0. Average score (1.1759259259259258)\n",
+            "Step 54: Win/lose count 3.0/1.0. Average score (1.190909090909091)\n",
+            "Step 55: Win/lose count 4.5/2.0. Average score (1.2142857142857142)\n",
+            "Step 56: Win/lose count 7.5/3.0. Average score (1.2719298245614035)\n",
+            "Step 57: Win/lose count 4.0/2.0. Average score (1.2844827586206897)\n",
+            "Step 58: Win/lose count 4.5/1.0. Average score (1.3220338983050848)\n",
+            "Step 59: Win/lose count 1.5/0. Average score (1.325)\n",
+            "Step 60: Win/lose count 1.5/3.0. Average score (1.278688524590164)\n",
+            "Step 61: Win/lose count 5.5/6.0. Average score (1.25)\n",
+            "Step 62: Win/lose count 6.0/3.0. Average score (1.2777777777777777)\n",
+            "Step 63: Win/lose count 4.5/2.0. Average score (1.296875)\n",
+            "Step 64: Win/lose count 4.5/2.0. Average score (1.3153846153846154)\n",
+            "Step 65: Win/lose count 5.0/6.0. Average score (1.2803030303030303)\n",
+            "Step 66: Win/lose count 9.5/5.0. Average score (1.328358208955224)\n",
+            "Step 67: Win/lose count 5.5/1.0. Average score (1.375)\n",
+            "Step 68: Win/lose count 3.5/1.0. Average score (1.391304347826087)\n",
+            "Step 69: Win/lose count 10.0/4.0. Average score (1.457142857142857)\n",
+            "Step 70: Win/lose count 4.0/2.0. Average score (1.4647887323943662)\n",
+            "Step 71: Win/lose count 4.0/6.0. Average score (1.4166666666666667)\n",
+            "Step 72: Win/lose count 8.0/7.0. Average score (1.4109589041095891)\n",
+            "Step 73: Win/lose count 3.0/5.0. Average score (1.364864864864865)\n",
+            "Step 74: Win/lose count 6.5/1.0. Average score (1.42)\n",
+            "Step 75: Win/lose count 6.0/3.0. Average score (1.4407894736842106)\n",
+            "Step 76: Win/lose count 1.5/1.0. Average score (1.4285714285714286)\n",
+            "Step 77: Win/lose count 3.5/0. Average score (1.455128205128205)\n",
+            "Step 78: Win/lose count 1.5/2.0. Average score (1.4303797468354431)\n",
+            "Step 79: Win/lose count 2.0/0. Average score (1.4375)\n",
+            "Step 80: Win/lose count 2.5/1.0. Average score (1.4382716049382716)\n",
+            "Step 81: Win/lose count 1.5/2.0. Average score (1.4146341463414633)\n",
+            "Step 82: Win/lose count 7.0/1.0. Average score (1.4698795180722892)\n",
+            "Step 83: Win/lose count 2.0/2.0. Average score (1.4523809523809523)\n",
+            "Step 84: Win/lose count 5.5/3.0. Average score (1.464705882352941)\n",
+            "Step 85: Win/lose count 6.0/3.0. Average score (1.4825581395348837)\n",
+            "Step 86: Win/lose count 4.0/2.0. Average score (1.4885057471264367)\n",
+            "Step 87: Win/lose count 4.0/2.0. Average score (1.4943181818181819)\n",
+            "Step 88: Win/lose count 3.5/4.0. Average score (1.4719101123595506)\n",
+            "Step 89: Win/lose count 3.0/0. Average score (1.488888888888889)\n",
+            "Step 90: Win/lose count 3.5/5.0. Average score (1.456043956043956)\n",
+            "Step 91: Win/lose count 4.5/3.0. Average score (1.4565217391304348)\n",
+            "Step 92: Win/lose count 8.5/3.0. Average score (1.5)\n",
+            "Step 93: Win/lose count 5.5/1.0. Average score (1.5319148936170213)\n",
+            "Step 94: Win/lose count 3.0/4.0. Average score (1.5052631578947369)\n",
+            "Step 95: Win/lose count 7.0/3.0. Average score (1.53125)\n",
+            "Step 96: Win/lose count 9.5/2.0. Average score (1.592783505154639)\n",
+            "Step 97: Win/lose count 9.0/5.0. Average score (1.6173469387755102)\n",
+            "Step 98: Win/lose count 7.0/2.0. Average score (1.6515151515151516)\n",
+            "Step 99: Win/lose count 2.5/3.0. Average score (1.63)\n",
+            "Step 100: Win/lose count 2.5/3.0. Average score (1.608910891089109)\n",
+            "Final score: 1.625\n",
+            "=========================================================\n",
+            "Model n°1\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 4.0/6.0. Average score (-1.0)\n",
+            "Step 2: Win/lose count 4.0/2.0. Average score (0.0)\n",
+            "Step 3: Win/lose count 5.0/2.0. Average score (0.75)\n",
+            "Step 4: Win/lose count 5.0/2.0. Average score (1.2)\n",
+            "Step 5: Win/lose count 2.5/3.0. Average score (0.9166666666666666)\n",
+            "Step 6: Win/lose count 1.0/0. Average score (0.9285714285714286)\n",
+            "Step 7: Win/lose count 1.5/1.0. Average score (0.875)\n",
+            "Step 8: Win/lose count 2.0/1.0. Average score (0.8888888888888888)\n",
+            "Step 9: Win/lose count 5.5/5.0. Average score (0.85)\n",
+            "Step 10: Win/lose count 3.0/5.0. Average score (0.5909090909090909)\n",
+            "Step 11: Win/lose count 4.5/2.0. Average score (0.75)\n",
+            "Step 12: Win/lose count 5.0/5.0. Average score (0.6923076923076923)\n",
+            "Step 13: Win/lose count 1.0/5.0. Average score (0.35714285714285715)\n",
+            "Step 14: Win/lose count 8.0/1.0. Average score (0.8)\n",
+            "Step 15: Win/lose count 1.5/1.0. Average score (0.78125)\n",
+            "Step 16: Win/lose count 4.0/0. Average score (0.9705882352941176)\n",
+            "Step 17: Win/lose count 6.0/4.0. Average score (1.0277777777777777)\n",
+            "Step 18: Win/lose count 4.0/2.0. Average score (1.0789473684210527)\n",
+            "Step 19: Win/lose count 2.5/1.0. Average score (1.1)\n",
+            "Step 20: Win/lose count 5.5/4.0. Average score (1.119047619047619)\n",
+            "Step 21: Win/lose count 1.5/1.0. Average score (1.0909090909090908)\n",
+            "Step 22: Win/lose count 5.0/6.0. Average score (1.0)\n",
+            "Step 23: Win/lose count 2.0/4.0. Average score (0.875)\n",
+            "Step 24: Win/lose count 3.0/3.0. Average score (0.84)\n",
+            "Step 25: Win/lose count 3.5/1.0. Average score (0.9038461538461539)\n",
+            "Step 26: Win/lose count 4.5/0. Average score (1.037037037037037)\n",
+            "Step 27: Win/lose count 3.0/5.0. Average score (0.9285714285714286)\n",
+            "Step 28: Win/lose count 6.0/1.0. Average score (1.0689655172413792)\n",
+            "Step 29: Win/lose count 7.5/6.0. Average score (1.0833333333333333)\n",
+            "Step 30: Win/lose count 9.0/4.0. Average score (1.2096774193548387)\n",
+            "Step 31: Win/lose count 3.0/4.0. Average score (1.140625)\n",
+            "Step 32: Win/lose count 5.0/3.0. Average score (1.1666666666666667)\n",
+            "Step 33: Win/lose count 10.0/3.0. Average score (1.338235294117647)\n",
+            "Step 34: Win/lose count 3.5/1.0. Average score (1.3714285714285714)\n",
+            "Step 35: Win/lose count 1.0/1.0. Average score (1.3333333333333333)\n",
+            "Step 36: Win/lose count 8.0/3.0. Average score (1.4324324324324325)\n",
+            "Step 37: Win/lose count 5.5/6.0. Average score (1.381578947368421)\n",
+            "Step 38: Win/lose count 3.5/4.0. Average score (1.3333333333333333)\n",
+            "Step 39: Win/lose count 3.0/2.0. Average score (1.325)\n",
+            "Step 40: Win/lose count 3.5/3.0. Average score (1.3048780487804879)\n",
+            "Step 41: Win/lose count 6.0/6.0. Average score (1.2738095238095237)\n",
+            "Step 42: Win/lose count 4.0/3.0. Average score (1.2674418604651163)\n",
+            "Step 43: Win/lose count 5.5/2.0. Average score (1.3181818181818181)\n",
+            "Step 44: Win/lose count 2.5/1.0. Average score (1.3222222222222222)\n",
+            "Step 45: Win/lose count 5.0/2.0. Average score (1.358695652173913)\n",
+            "Step 46: Win/lose count 5.0/3.0. Average score (1.372340425531915)\n",
+            "Step 47: Win/lose count 5.0/4.0. Average score (1.3645833333333333)\n",
+            "Step 48: Win/lose count 3.5/3.0. Average score (1.346938775510204)\n",
+            "Step 49: Win/lose count 9.0/3.0. Average score (1.44)\n",
+            "Step 50: Win/lose count 7.0/8.0. Average score (1.392156862745098)\n",
+            "Step 51: Win/lose count 2.5/6.0. Average score (1.2980769230769231)\n",
+            "Step 52: Win/lose count 4.0/3.0. Average score (1.2924528301886793)\n",
+            "Step 53: Win/lose count 1.5/3.0. Average score (1.2407407407407407)\n",
+            "Step 54: Win/lose count 6.0/2.0. Average score (1.290909090909091)\n",
+            "Step 55: Win/lose count 4.0/7.0. Average score (1.2142857142857142)\n",
+            "Step 56: Win/lose count 3.0/2.0. Average score (1.2105263157894737)\n",
+            "Step 57: Win/lose count 6.0/3.0. Average score (1.2413793103448276)\n",
+            "Step 58: Win/lose count 4.5/4.0. Average score (1.228813559322034)\n",
+            "Step 59: Win/lose count 4.5/3.0. Average score (1.2333333333333334)\n",
+            "Step 60: Win/lose count 2.5/1.0. Average score (1.2377049180327868)\n",
+            "Step 61: Win/lose count 4.5/2.0. Average score (1.2580645161290323)\n",
+            "Step 62: Win/lose count 4.5/0. Average score (1.3095238095238095)\n",
+            "Step 63: Win/lose count 3.5/1.0. Average score (1.328125)\n",
+            "Step 64: Win/lose count 6.0/3.0. Average score (1.353846153846154)\n",
+            "Step 65: Win/lose count 3.5/7.0. Average score (1.2803030303030303)\n",
+            "Step 66: Win/lose count 2.0/1.0. Average score (1.2761194029850746)\n",
+            "Step 67: Win/lose count 3.0/1.0. Average score (1.286764705882353)\n",
+            "Step 68: Win/lose count 5.0/7.0. Average score (1.2391304347826086)\n",
+            "Step 69: Win/lose count 9.5/3.0. Average score (1.3142857142857143)\n",
+            "Step 70: Win/lose count 8.0/0. Average score (1.408450704225352)\n",
+            "Step 71: Win/lose count 4.0/4.0. Average score (1.3888888888888888)\n",
+            "Step 72: Win/lose count 4.0/5.0. Average score (1.356164383561644)\n",
+            "Step 73: Win/lose count 5.5/3.0. Average score (1.3716216216216217)\n",
+            "Step 74: Win/lose count 2.0/3.0. Average score (1.34)\n",
+            "Step 75: Win/lose count 6.5/2.0. Average score (1.381578947368421)\n",
+            "Step 76: Win/lose count 3.5/5.0. Average score (1.344155844155844)\n",
+            "Step 77: Win/lose count 1.5/2.0. Average score (1.3205128205128205)\n",
+            "Step 78: Win/lose count 2.5/1.0. Average score (1.3227848101265822)\n",
+            "Step 79: Win/lose count 4.0/2.0. Average score (1.33125)\n",
+            "Step 80: Win/lose count 4.0/4.0. Average score (1.3148148148148149)\n",
+            "Step 81: Win/lose count 5.5/5.0. Average score (1.3048780487804879)\n",
+            "Step 82: Win/lose count 5.5/5.0. Average score (1.2951807228915662)\n",
+            "Step 83: Win/lose count 4.0/1.0. Average score (1.3154761904761905)\n",
+            "Step 84: Win/lose count 4.5/2.0. Average score (1.3294117647058823)\n",
+            "Step 85: Win/lose count 2.0/0. Average score (1.3372093023255813)\n",
+            "Step 86: Win/lose count 4.5/2.0. Average score (1.3505747126436782)\n",
+            "Step 87: Win/lose count 7.0/1.0. Average score (1.4034090909090908)\n",
+            "Step 88: Win/lose count 7.0/6.0. Average score (1.398876404494382)\n",
+            "Step 89: Win/lose count 1.5/0. Average score (1.4)\n",
+            "Step 90: Win/lose count 3.0/5.0. Average score (1.3626373626373627)\n",
+            "Step 91: Win/lose count 10.5/4.0. Average score (1.4184782608695652)\n",
+            "Step 92: Win/lose count 2.5/2.0. Average score (1.4086021505376345)\n",
+            "Step 93: Win/lose count 4.5/2.0. Average score (1.4202127659574468)\n",
+            "Step 94: Win/lose count 7.5/5.0. Average score (1.431578947368421)\n",
+            "Step 95: Win/lose count 3.5/1.0. Average score (1.4427083333333333)\n",
+            "Step 96: Win/lose count 6.0/7.0. Average score (1.4175257731958764)\n",
+            "Step 97: Win/lose count 4.5/3.0. Average score (1.4183673469387754)\n",
+            "Step 98: Win/lose count 5.0/3.0. Average score (1.4242424242424243)\n",
+            "Step 99: Win/lose count 4.5/2.0. Average score (1.435)\n",
+            "Step 100: Win/lose count 7.0/4.0. Average score (1.4504950495049505)\n",
+            "Final score: 1.465\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 4.5/0. Average score (2.25)\n",
+            "Step 2: Win/lose count 8.5/4.0. Average score (3.0)\n",
+            "Step 3: Win/lose count 5.0/3.0. Average score (2.75)\n",
+            "Step 4: Win/lose count 2.0/1.0. Average score (2.4)\n",
+            "Step 5: Win/lose count 4.0/4.0. Average score (2.0)\n",
+            "Step 6: Win/lose count 3.5/6.0. Average score (1.3571428571428572)\n",
+            "Step 7: Win/lose count 8.5/1.0. Average score (2.125)\n",
+            "Step 8: Win/lose count 4.5/3.0. Average score (2.0555555555555554)\n",
+            "Step 9: Win/lose count 3.0/4.0. Average score (1.75)\n",
+            "Step 10: Win/lose count 8.0/1.0. Average score (2.227272727272727)\n",
+            "Step 11: Win/lose count 4.0/6.0. Average score (1.875)\n",
+            "Step 12: Win/lose count 4.5/1.0. Average score (2.0)\n",
+            "Step 13: Win/lose count 5.0/4.0. Average score (1.9285714285714286)\n",
+            "Step 14: Win/lose count 6.0/0. Average score (2.2)\n",
+            "Step 15: Win/lose count 9.0/2.0. Average score (2.5)\n",
+            "Step 16: Win/lose count 4.0/3.0. Average score (2.411764705882353)\n",
+            "Step 17: Win/lose count 12.0/4.0. Average score (2.7222222222222223)\n",
+            "Step 18: Win/lose count 6.5/3.0. Average score (2.763157894736842)\n",
+            "Step 19: Win/lose count 2.5/0. Average score (2.75)\n",
+            "Step 20: Win/lose count 5.0/5.0. Average score (2.619047619047619)\n",
+            "Step 21: Win/lose count 3.0/4.0. Average score (2.4545454545454546)\n",
+            "Step 22: Win/lose count 3.0/2.0. Average score (2.391304347826087)\n",
+            "Step 23: Win/lose count 5.5/1.0. Average score (2.4791666666666665)\n",
+            "Step 24: Win/lose count 5.5/3.0. Average score (2.48)\n",
+            "Step 25: Win/lose count 7.5/4.0. Average score (2.519230769230769)\n",
+            "Step 26: Win/lose count 4.5/2.0. Average score (2.5185185185185186)\n",
+            "Step 27: Win/lose count 1.5/1.0. Average score (2.4464285714285716)\n",
+            "Step 28: Win/lose count 4.5/1.0. Average score (2.4827586206896552)\n",
+            "Step 29: Win/lose count 4.5/0. Average score (2.55)\n",
+            "Step 30: Win/lose count 5.0/5.0. Average score (2.467741935483871)\n",
+            "Step 31: Win/lose count 2.5/3.0. Average score (2.375)\n",
+            "Step 32: Win/lose count 4.5/4.0. Average score (2.3181818181818183)\n",
+            "Step 33: Win/lose count 6.0/1.0. Average score (2.3970588235294117)\n",
+            "Step 34: Win/lose count 5.5/2.0. Average score (2.4285714285714284)\n",
+            "Step 35: Win/lose count 5.0/5.0. Average score (2.361111111111111)\n",
+            "Step 36: Win/lose count 3.5/8.0. Average score (2.175675675675676)\n",
+            "Step 37: Win/lose count 8.0/2.0. Average score (2.276315789473684)\n",
+            "Step 38: Win/lose count 2.0/2.0. Average score (2.217948717948718)\n",
+            "Step 39: Win/lose count 3.0/3.0. Average score (2.1625)\n",
+            "Step 40: Win/lose count 7.0/3.0. Average score (2.207317073170732)\n",
+            "Step 41: Win/lose count 5.0/4.0. Average score (2.1785714285714284)\n",
+            "Step 42: Win/lose count 4.0/2.0. Average score (2.1744186046511627)\n",
+            "Step 43: Win/lose count 3.5/4.0. Average score (2.1136363636363638)\n",
+            "Step 44: Win/lose count 10.5/4.0. Average score (2.2111111111111112)\n",
+            "Step 45: Win/lose count 3.0/5.0. Average score (2.119565217391304)\n",
+            "Step 46: Win/lose count 7.5/3.0. Average score (2.1702127659574466)\n",
+            "Step 47: Win/lose count 6.0/3.0. Average score (2.1875)\n",
+            "Step 48: Win/lose count 2.5/0. Average score (2.193877551020408)\n",
+            "Step 49: Win/lose count 1.5/0. Average score (2.18)\n",
+            "Step 50: Win/lose count 8.0/3.0. Average score (2.235294117647059)\n",
+            "Step 51: Win/lose count 4.0/2.0. Average score (2.230769230769231)\n",
+            "Step 52: Win/lose count 6.5/7.0. Average score (2.1792452830188678)\n",
+            "Step 53: Win/lose count 5.0/3.0. Average score (2.175925925925926)\n",
+            "Step 54: Win/lose count 3.0/2.0. Average score (2.1545454545454548)\n",
+            "Step 55: Win/lose count 7.5/2.0. Average score (2.2142857142857144)\n",
+            "Step 56: Win/lose count 7.0/1.0. Average score (2.280701754385965)\n",
+            "Step 57: Win/lose count 3.5/4.0. Average score (2.2327586206896552)\n",
+            "Step 58: Win/lose count 6.5/4.0. Average score (2.23728813559322)\n",
+            "Step 59: Win/lose count 7.5/7.0. Average score (2.2083333333333335)\n",
+            "Step 60: Win/lose count 6.5/6.0. Average score (2.180327868852459)\n",
+            "Step 61: Win/lose count 6.0/2.0. Average score (2.2096774193548385)\n",
+            "Step 62: Win/lose count 2.0/6.0. Average score (2.111111111111111)\n",
+            "Step 63: Win/lose count 7.0/4.0. Average score (2.125)\n",
+            "Step 64: Win/lose count 4.0/2.0. Average score (2.123076923076923)\n",
+            "Step 65: Win/lose count 7.0/4.0. Average score (2.1363636363636362)\n",
+            "Step 66: Win/lose count 10.0/3.0. Average score (2.208955223880597)\n",
+            "Step 67: Win/lose count 8.5/3.0. Average score (2.2573529411764706)\n",
+            "Step 68: Win/lose count 10.5/1.0. Average score (2.36231884057971)\n",
+            "Step 69: Win/lose count 4.0/1.0. Average score (2.3714285714285714)\n",
+            "Step 70: Win/lose count 1.5/0. Average score (2.359154929577465)\n",
+            "Step 71: Win/lose count 8.5/7.0. Average score (2.3472222222222223)\n",
+            "Step 72: Win/lose count 5.0/0. Average score (2.3835616438356166)\n",
+            "Step 73: Win/lose count 9.5/4.0. Average score (2.425675675675676)\n",
+            "Step 74: Win/lose count 7.0/3.0. Average score (2.4466666666666668)\n",
+            "Step 75: Win/lose count 3.0/4.0. Average score (2.401315789473684)\n",
+            "Step 76: Win/lose count 2.5/6.0. Average score (2.324675324675325)\n",
+            "Step 77: Win/lose count 7.5/4.0. Average score (2.33974358974359)\n",
+            "Step 78: Win/lose count 1.5/3.0. Average score (2.2911392405063293)\n",
+            "Step 79: Win/lose count 7.0/5.0. Average score (2.2875)\n",
+            "Step 80: Win/lose count 5.5/3.0. Average score (2.2901234567901234)\n",
+            "Step 81: Win/lose count 4.0/3.0. Average score (2.274390243902439)\n",
+            "Step 82: Win/lose count 4.0/2.0. Average score (2.2710843373493974)\n",
+            "Step 83: Win/lose count 2.0/3.0. Average score (2.232142857142857)\n",
+            "Step 84: Win/lose count 3.5/1.0. Average score (2.235294117647059)\n",
+            "Step 85: Win/lose count 9.0/1.0. Average score (2.302325581395349)\n",
+            "Step 86: Win/lose count 3.0/5.0. Average score (2.2528735632183907)\n",
+            "Step 87: Win/lose count 4.5/1.0. Average score (2.2670454545454546)\n",
+            "Step 88: Win/lose count 4.0/3.0. Average score (2.252808988764045)\n",
+            "Step 89: Win/lose count 4.5/2.0. Average score (2.2555555555555555)\n",
+            "Step 90: Win/lose count 2.0/1.0. Average score (2.241758241758242)\n",
+            "Step 91: Win/lose count 4.0/5.0. Average score (2.2065217391304346)\n",
+            "Step 92: Win/lose count 4.0/1.0. Average score (2.21505376344086)\n",
+            "Step 93: Win/lose count 5.0/1.0. Average score (2.234042553191489)\n",
+            "Step 94: Win/lose count 6.5/1.0. Average score (2.268421052631579)\n",
+            "Step 95: Win/lose count 10.0/5.0. Average score (2.296875)\n",
+            "Step 96: Win/lose count 4.5/2.0. Average score (2.2989690721649483)\n",
+            "Step 97: Win/lose count 3.5/4.0. Average score (2.270408163265306)\n",
+            "Step 98: Win/lose count 6.5/2.0. Average score (2.292929292929293)\n",
+            "Step 99: Win/lose count 1.5/3.0. Average score (2.255)\n",
+            "Step 100: Win/lose count 3.0/2.0. Average score (2.242574257425743)\n",
+            "Final score: 2.265\n",
+            "=========================================================\n",
+            "Model n°2\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 3.5/2.0. Average score (0.75)\n",
+            "Step 2: Win/lose count 4.5/3.0. Average score (1.0)\n",
+            "Step 3: Win/lose count 5.5/3.0. Average score (1.375)\n",
+            "Step 4: Win/lose count 6.5/2.0. Average score (2.0)\n",
+            "Step 5: Win/lose count 3.5/1.0. Average score (2.0833333333333335)\n",
+            "Step 6: Win/lose count 5.5/2.0. Average score (2.2857142857142856)\n",
+            "Step 7: Win/lose count 5.5/2.0. Average score (2.4375)\n",
+            "Step 8: Win/lose count 3.0/3.0. Average score (2.1666666666666665)\n",
+            "Step 9: Win/lose count 6.5/4.0. Average score (2.2)\n",
+            "Step 10: Win/lose count 2.0/5.0. Average score (1.7272727272727273)\n",
+            "Step 11: Win/lose count 9.0/4.0. Average score (2.0)\n",
+            "Step 12: Win/lose count 4.0/6.0. Average score (1.6923076923076923)\n",
+            "Step 13: Win/lose count 4.5/4.0. Average score (1.6071428571428572)\n",
+            "Step 14: Win/lose count 5.0/2.0. Average score (1.7)\n",
+            "Step 15: Win/lose count 3.5/1.0. Average score (1.75)\n",
+            "Step 16: Win/lose count 2.5/4.0. Average score (1.5588235294117647)\n",
+            "Step 17: Win/lose count 6.5/5.0. Average score (1.5555555555555556)\n",
+            "Step 18: Win/lose count 10.5/2.0. Average score (1.9210526315789473)\n",
+            "Step 19: Win/lose count 9.5/2.0. Average score (2.2)\n",
+            "Step 20: Win/lose count 5.0/2.0. Average score (2.238095238095238)\n",
+            "Step 21: Win/lose count 5.0/2.0. Average score (2.272727272727273)\n",
+            "Step 22: Win/lose count 5.0/1.0. Average score (2.347826086956522)\n",
+            "Step 23: Win/lose count 5.5/7.0. Average score (2.1875)\n",
+            "Step 24: Win/lose count 3.0/1.0. Average score (2.18)\n",
+            "Step 25: Win/lose count 7.5/5.0. Average score (2.1923076923076925)\n",
+            "Step 26: Win/lose count 3.0/3.0. Average score (2.111111111111111)\n",
+            "Step 27: Win/lose count 2.0/4.0. Average score (1.9642857142857142)\n",
+            "Step 28: Win/lose count 5.5/5.0. Average score (1.9137931034482758)\n",
+            "Step 29: Win/lose count 5.0/5.0. Average score (1.85)\n",
+            "Step 30: Win/lose count 7.0/4.0. Average score (1.8870967741935485)\n",
+            "Step 31: Win/lose count 6.5/2.0. Average score (1.96875)\n",
+            "Step 32: Win/lose count 7.0/3.0. Average score (2.0303030303030303)\n",
+            "Step 33: Win/lose count 1.5/6.0. Average score (1.838235294117647)\n",
+            "Step 34: Win/lose count 8.0/6.0. Average score (1.8428571428571427)\n",
+            "Step 35: Win/lose count 6.5/5.0. Average score (1.8333333333333333)\n",
+            "Step 36: Win/lose count 4.5/4.0. Average score (1.7972972972972974)\n",
+            "Step 37: Win/lose count 4.0/5.0. Average score (1.7236842105263157)\n",
+            "Step 38: Win/lose count 3.5/3.0. Average score (1.6923076923076923)\n",
+            "Step 39: Win/lose count 3.5/2.0. Average score (1.6875)\n",
+            "Step 40: Win/lose count 9.5/6.0. Average score (1.7317073170731707)\n",
+            "Step 41: Win/lose count 1.5/3.0. Average score (1.6547619047619047)\n",
+            "Step 42: Win/lose count 11.0/3.0. Average score (1.802325581395349)\n",
+            "Step 43: Win/lose count 1.5/2.0. Average score (1.75)\n",
+            "Step 44: Win/lose count 6.5/3.0. Average score (1.788888888888889)\n",
+            "Step 45: Win/lose count 2.0/2.0. Average score (1.75)\n",
+            "Step 46: Win/lose count 9.5/3.0. Average score (1.851063829787234)\n",
+            "Step 47: Win/lose count 11.5/6.0. Average score (1.9270833333333333)\n",
+            "Step 48: Win/lose count 7.5/2.0. Average score (2.0)\n",
+            "Step 49: Win/lose count 5.0/3.0. Average score (2.0)\n",
+            "Step 50: Win/lose count 8.5/4.0. Average score (2.049019607843137)\n",
+            "Step 51: Win/lose count 6.5/6.0. Average score (2.019230769230769)\n",
+            "Step 52: Win/lose count 6.5/2.0. Average score (2.0660377358490565)\n",
+            "Step 53: Win/lose count 2.5/2.0. Average score (2.037037037037037)\n",
+            "Step 54: Win/lose count 7.0/5.0. Average score (2.036363636363636)\n",
+            "Step 55: Win/lose count 4.0/2.0. Average score (2.0357142857142856)\n",
+            "Step 56: Win/lose count 9.0/4.0. Average score (2.087719298245614)\n",
+            "Step 57: Win/lose count 3.5/2.0. Average score (2.0775862068965516)\n",
+            "Step 58: Win/lose count 6.5/3.0. Average score (2.1016949152542375)\n",
+            "Step 59: Win/lose count 2.5/3.0. Average score (2.058333333333333)\n",
+            "Step 60: Win/lose count 7.5/5.0. Average score (2.0655737704918034)\n",
+            "Step 61: Win/lose count 2.5/5.0. Average score (1.9919354838709677)\n",
+            "Step 62: Win/lose count 5.0/2.0. Average score (2.007936507936508)\n",
+            "Step 63: Win/lose count 6.0/1.0. Average score (2.0546875)\n",
+            "Step 64: Win/lose count 1.5/5.0. Average score (1.9692307692307693)\n",
+            "Step 65: Win/lose count 2.5/6.0. Average score (1.8863636363636365)\n",
+            "Step 66: Win/lose count 5.5/3.0. Average score (1.8955223880597014)\n",
+            "Step 67: Win/lose count 3.5/0. Average score (1.9191176470588236)\n",
+            "Step 68: Win/lose count 3.5/2.0. Average score (1.9130434782608696)\n",
+            "Step 69: Win/lose count 5.0/1.0. Average score (1.9428571428571428)\n",
+            "Step 70: Win/lose count 8.5/4.0. Average score (1.9788732394366197)\n",
+            "Step 71: Win/lose count 2.0/4.0. Average score (1.9236111111111112)\n",
+            "Step 72: Win/lose count 3.0/5.0. Average score (1.86986301369863)\n",
+            "Step 73: Win/lose count 7.0/3.0. Average score (1.8986486486486487)\n",
+            "Step 74: Win/lose count 1.0/0. Average score (1.8866666666666667)\n",
+            "Step 75: Win/lose count 3.0/6.0. Average score (1.8223684210526316)\n",
+            "Step 76: Win/lose count 7.5/3.0. Average score (1.8571428571428572)\n",
+            "Step 77: Win/lose count 8.5/5.0. Average score (1.8782051282051282)\n",
+            "Step 78: Win/lose count 2.5/3.0. Average score (1.8481012658227849)\n",
+            "Step 79: Win/lose count 5.5/3.0. Average score (1.85625)\n",
+            "Step 80: Win/lose count 9.5/4.0. Average score (1.9012345679012346)\n",
+            "Step 81: Win/lose count 4.5/2.0. Average score (1.9085365853658536)\n",
+            "Step 82: Win/lose count 7.5/3.0. Average score (1.9397590361445782)\n",
+            "Step 83: Win/lose count 3.5/0. Average score (1.9583333333333333)\n",
+            "Step 84: Win/lose count 7.0/6.0. Average score (1.9470588235294117)\n",
+            "Step 85: Win/lose count 7.0/4.0. Average score (1.9593023255813953)\n",
+            "Step 86: Win/lose count 0.5/2.0. Average score (1.9195402298850575)\n",
+            "Step 87: Win/lose count 7.0/5.0. Average score (1.9204545454545454)\n",
+            "Step 88: Win/lose count 0.5/3.0. Average score (1.8707865168539326)\n",
+            "Step 89: Win/lose count 8.0/2.0. Average score (1.9166666666666667)\n",
+            "Step 90: Win/lose count 8.5/4.0. Average score (1.945054945054945)\n",
+            "Step 91: Win/lose count 7.5/2.0. Average score (1.983695652173913)\n",
+            "Step 92: Win/lose count 1.0/3.0. Average score (1.9408602150537635)\n",
+            "Step 93: Win/lose count 4.5/3.0. Average score (1.9361702127659575)\n",
+            "Step 94: Win/lose count 5.0/1.0. Average score (1.9578947368421054)\n",
+            "Step 95: Win/lose count 2.5/2.0. Average score (1.9427083333333333)\n",
+            "Step 96: Win/lose count 5.0/5.0. Average score (1.922680412371134)\n",
+            "Step 97: Win/lose count 7.0/4.0. Average score (1.933673469387755)\n",
+            "Step 98: Win/lose count 5.5/6.0. Average score (1.9090909090909092)\n",
+            "Step 99: Win/lose count 2.0/1.0. Average score (1.9)\n",
+            "Step 100: Win/lose count 5.0/5.0. Average score (1.881188118811881)\n",
+            "Final score: 1.9\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 3.0/2.0. Average score (0.5)\n",
+            "Step 2: Win/lose count 5.5/3.0. Average score (1.1666666666666667)\n",
+            "Step 3: Win/lose count 1.5/3.0. Average score (0.5)\n",
+            "Step 4: Win/lose count 5.0/1.0. Average score (1.2)\n",
+            "Step 5: Win/lose count 5.5/3.0. Average score (1.4166666666666667)\n",
+            "Step 6: Win/lose count 2.0/2.0. Average score (1.2142857142857142)\n",
+            "Step 7: Win/lose count 4.5/4.0. Average score (1.125)\n",
+            "Step 8: Win/lose count 4.5/3.0. Average score (1.1666666666666667)\n",
+            "Step 9: Win/lose count 1.5/1.0. Average score (1.1)\n",
+            "Step 10: Win/lose count 5.5/3.0. Average score (1.2272727272727273)\n",
+            "Step 11: Win/lose count 3.0/3.0. Average score (1.125)\n",
+            "Step 12: Win/lose count 3.0/0. Average score (1.2692307692307692)\n",
+            "Step 13: Win/lose count 3.5/3.0. Average score (1.2142857142857142)\n",
+            "Step 14: Win/lose count 7.5/1.0. Average score (1.5666666666666667)\n",
+            "Step 15: Win/lose count 0/2.0. Average score (1.34375)\n",
+            "Step 16: Win/lose count 4.5/0. Average score (1.5294117647058822)\n",
+            "Step 17: Win/lose count 4.5/0. Average score (1.6944444444444444)\n",
+            "Step 18: Win/lose count 2.0/0. Average score (1.7105263157894737)\n",
+            "Step 19: Win/lose count 2.0/1.0. Average score (1.675)\n",
+            "Step 20: Win/lose count 0.5/1.0. Average score (1.5714285714285714)\n",
+            "Step 21: Win/lose count 3.5/1.0. Average score (1.6136363636363635)\n",
+            "Step 22: Win/lose count 3.0/1.0. Average score (1.6304347826086956)\n",
+            "Step 23: Win/lose count 0.5/1.0. Average score (1.5416666666666667)\n",
+            "Step 24: Win/lose count 5.0/1.0. Average score (1.64)\n",
+            "Step 25: Win/lose count 6.0/2.0. Average score (1.7307692307692308)\n",
+            "Step 26: Win/lose count 2.5/0. Average score (1.7592592592592593)\n",
+            "Step 27: Win/lose count 3.0/2.0. Average score (1.7321428571428572)\n",
+            "Step 28: Win/lose count 7.0/3.0. Average score (1.8103448275862069)\n",
+            "Step 29: Win/lose count 1.5/1.0. Average score (1.7666666666666666)\n",
+            "Step 30: Win/lose count 1.0/1.0. Average score (1.7096774193548387)\n",
+            "Step 31: Win/lose count 2.0/3.0. Average score (1.625)\n",
+            "Step 32: Win/lose count 0/1.0. Average score (1.5454545454545454)\n",
+            "Step 33: Win/lose count 5.5/1.0. Average score (1.6323529411764706)\n",
+            "Step 34: Win/lose count 2.0/2.0. Average score (1.5857142857142856)\n",
+            "Step 35: Win/lose count 4.5/2.0. Average score (1.6111111111111112)\n",
+            "Step 36: Win/lose count 3.0/2.0. Average score (1.5945945945945945)\n",
+            "Step 37: Win/lose count 4.5/2.0. Average score (1.618421052631579)\n",
+            "Step 38: Win/lose count 4.5/0. Average score (1.6923076923076923)\n",
+            "Step 39: Win/lose count 6.0/1.0. Average score (1.775)\n",
+            "Step 40: Win/lose count 4.5/2.0. Average score (1.7926829268292683)\n",
+            "Step 41: Win/lose count 3.0/5.0. Average score (1.7023809523809523)\n",
+            "Step 42: Win/lose count 1.5/0. Average score (1.697674418604651)\n",
+            "Step 43: Win/lose count 3.0/0. Average score (1.7272727272727273)\n",
+            "Step 44: Win/lose count 2.0/0. Average score (1.7333333333333334)\n",
+            "Step 45: Win/lose count 4.0/3.0. Average score (1.7173913043478262)\n",
+            "Step 46: Win/lose count 4.0/1.0. Average score (1.7446808510638299)\n",
+            "Step 47: Win/lose count 3.0/3.0. Average score (1.7083333333333333)\n",
+            "Step 48: Win/lose count 4.0/8.0. Average score (1.5918367346938775)\n",
+            "Step 49: Win/lose count 3.5/2.0. Average score (1.59)\n",
+            "Step 50: Win/lose count 5.5/1.0. Average score (1.6470588235294117)\n",
+            "Step 51: Win/lose count 6.0/7.0. Average score (1.5961538461538463)\n",
+            "Step 52: Win/lose count 6.0/2.0. Average score (1.6415094339622642)\n",
+            "Step 53: Win/lose count 5.0/3.0. Average score (1.6481481481481481)\n",
+            "Step 54: Win/lose count 2.5/2.0. Average score (1.6272727272727272)\n",
+            "Step 55: Win/lose count 6.0/5.0. Average score (1.6160714285714286)\n",
+            "Step 56: Win/lose count 5.0/0. Average score (1.6754385964912282)\n",
+            "Step 57: Win/lose count 4.0/2.0. Average score (1.6810344827586208)\n",
+            "Step 58: Win/lose count 4.5/4.0. Average score (1.6610169491525424)\n",
+            "Step 59: Win/lose count 1.5/1.0. Average score (1.6416666666666666)\n",
+            "Step 60: Win/lose count 2.5/3.0. Average score (1.6065573770491803)\n",
+            "Step 61: Win/lose count 2.5/1.0. Average score (1.6048387096774193)\n",
+            "Step 62: Win/lose count 5.0/4.0. Average score (1.5952380952380953)\n",
+            "Step 63: Win/lose count 5.5/2.0. Average score (1.625)\n",
+            "Step 64: Win/lose count 7.0/3.0. Average score (1.6615384615384616)\n",
+            "Step 65: Win/lose count 6.5/1.0. Average score (1.7196969696969697)\n",
+            "Step 66: Win/lose count 3.0/2.0. Average score (1.708955223880597)\n",
+            "Step 67: Win/lose count 3.5/1.0. Average score (1.7205882352941178)\n",
+            "Step 68: Win/lose count 2.5/2.0. Average score (1.7028985507246377)\n",
+            "Step 69: Win/lose count 1.5/1.0. Average score (1.6857142857142857)\n",
+            "Step 70: Win/lose count 2.0/2.0. Average score (1.6619718309859155)\n",
+            "Step 71: Win/lose count 4.5/2.0. Average score (1.6736111111111112)\n",
+            "Step 72: Win/lose count 0.5/0. Average score (1.6575342465753424)\n",
+            "Step 73: Win/lose count 3.5/2.0. Average score (1.6554054054054055)\n",
+            "Step 74: Win/lose count 3.0/0. Average score (1.6733333333333333)\n",
+            "Step 75: Win/lose count 6.0/3.0. Average score (1.6907894736842106)\n",
+            "Step 76: Win/lose count 3.0/1.0. Average score (1.6948051948051948)\n",
+            "Step 77: Win/lose count 3.5/2.0. Average score (1.6923076923076923)\n",
+            "Step 78: Win/lose count 9.0/3.0. Average score (1.7468354430379747)\n",
+            "Step 79: Win/lose count 4.5/3.0. Average score (1.74375)\n",
+            "Step 80: Win/lose count 1.5/2.0. Average score (1.7160493827160495)\n",
+            "Step 81: Win/lose count 2.5/4.0. Average score (1.6768292682926829)\n",
+            "Step 82: Win/lose count 2.5/3.0. Average score (1.6506024096385543)\n",
+            "Step 83: Win/lose count 3.5/5.0. Average score (1.6130952380952381)\n",
+            "Step 84: Win/lose count 2.5/2.0. Average score (1.6)\n",
+            "Step 85: Win/lose count 7.5/7.0. Average score (1.5872093023255813)\n",
+            "Step 86: Win/lose count 2.0/3.0. Average score (1.5574712643678161)\n",
+            "Step 87: Win/lose count 6.5/3.0. Average score (1.5795454545454546)\n",
+            "Step 88: Win/lose count 5.5/1.0. Average score (1.6123595505617978)\n",
+            "Step 89: Win/lose count 5.0/3.0. Average score (1.6166666666666667)\n",
+            "Step 90: Win/lose count 3.0/0. Average score (1.6318681318681318)\n",
+            "Step 91: Win/lose count 1.0/0. Average score (1.625)\n",
+            "Step 92: Win/lose count 4.0/2.0. Average score (1.6290322580645162)\n",
+            "Step 93: Win/lose count 3.5/1.0. Average score (1.6382978723404256)\n",
+            "Step 94: Win/lose count 1.5/1.0. Average score (1.6263157894736842)\n",
+            "Step 95: Win/lose count 6.0/4.0. Average score (1.6302083333333333)\n",
+            "Step 96: Win/lose count 4.5/1.0. Average score (1.6494845360824741)\n",
+            "Step 97: Win/lose count 2.5/3.0. Average score (1.6275510204081634)\n",
+            "Step 98: Win/lose count 7.0/4.0. Average score (1.6414141414141414)\n",
+            "Step 99: Win/lose count 3.0/2.0. Average score (1.635)\n",
+            "Step 100: Win/lose count 1.5/1.0. Average score (1.6237623762376239)\n",
+            "Final score: 1.64\n",
+            "=========================================================\n",
+            "Model n°3\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 5.5/4.0. Average score (0.75)\n",
+            "Step 2: Win/lose count 5.0/5.0. Average score (0.5)\n",
+            "Step 3: Win/lose count 3.5/3.0. Average score (0.5)\n",
+            "Step 4: Win/lose count 4.0/4.0. Average score (0.4)\n",
+            "Step 5: Win/lose count 2.0/0. Average score (0.6666666666666666)\n",
+            "Step 6: Win/lose count 10.5/3.0. Average score (1.6428571428571428)\n",
+            "Step 7: Win/lose count 20.5/5.0. Average score (3.375)\n",
+            "Step 8: Win/lose count 6.0/7.0. Average score (2.888888888888889)\n",
+            "Step 9: Win/lose count 9.5/3.0. Average score (3.25)\n",
+            "Step 10: Win/lose count 3.0/1.0. Average score (3.1363636363636362)\n",
+            "Step 11: Win/lose count 8.0/1.0. Average score (3.4583333333333335)\n",
+            "Step 12: Win/lose count 5.0/1.0. Average score (3.5)\n",
+            "Step 13: Win/lose count 4.5/4.0. Average score (3.2857142857142856)\n",
+            "Step 14: Win/lose count 10.0/3.0. Average score (3.533333333333333)\n",
+            "Step 15: Win/lose count 4.0/5.0. Average score (3.25)\n",
+            "Step 16: Win/lose count 6.5/7.0. Average score (3.0294117647058822)\n",
+            "Step 17: Win/lose count 4.0/6.0. Average score (2.75)\n",
+            "Step 18: Win/lose count 5.0/8.0. Average score (2.4473684210526314)\n",
+            "Step 19: Win/lose count 7.5/0. Average score (2.7)\n",
+            "Step 20: Win/lose count 2.5/0. Average score (2.6904761904761907)\n",
+            "Step 21: Win/lose count 10.0/1.0. Average score (2.977272727272727)\n",
+            "Step 22: Win/lose count 3.0/3.0. Average score (2.847826086956522)\n",
+            "Step 23: Win/lose count 5.0/4.0. Average score (2.7708333333333335)\n",
+            "Step 24: Win/lose count 3.5/2.0. Average score (2.72)\n",
+            "Step 25: Win/lose count 5.0/0. Average score (2.8076923076923075)\n",
+            "Step 26: Win/lose count 8.0/5.0. Average score (2.814814814814815)\n",
+            "Step 27: Win/lose count 2.5/2.0. Average score (2.732142857142857)\n",
+            "Step 28: Win/lose count 9.0/2.0. Average score (2.8793103448275863)\n",
+            "Step 29: Win/lose count 8.5/1.0. Average score (3.033333333333333)\n",
+            "Step 30: Win/lose count 10.5/6.0. Average score (3.0806451612903225)\n",
+            "Step 31: Win/lose count 5.0/7.0. Average score (2.921875)\n",
+            "Step 32: Win/lose count 4.0/3.0. Average score (2.8636363636363638)\n",
+            "Step 33: Win/lose count 3.5/4.0. Average score (2.764705882352941)\n",
+            "Step 34: Win/lose count 2.0/2.0. Average score (2.6857142857142855)\n",
+            "Step 35: Win/lose count 6.0/2.0. Average score (2.7222222222222223)\n",
+            "Step 36: Win/lose count 6.0/0. Average score (2.810810810810811)\n",
+            "Step 37: Win/lose count 6.0/2.0. Average score (2.8421052631578947)\n",
+            "Step 38: Win/lose count 4.5/3.0. Average score (2.8076923076923075)\n",
+            "Step 39: Win/lose count 6.5/8.0. Average score (2.7)\n",
+            "Step 40: Win/lose count 10.0/1.0. Average score (2.8536585365853657)\n",
+            "Step 41: Win/lose count 3.0/2.0. Average score (2.8095238095238093)\n",
+            "Step 42: Win/lose count 4.5/3.0. Average score (2.7790697674418605)\n",
+            "Step 43: Win/lose count 3.5/2.0. Average score (2.75)\n",
+            "Step 44: Win/lose count 3.5/4.0. Average score (2.6777777777777776)\n",
+            "Step 45: Win/lose count 9.5/1.0. Average score (2.8043478260869565)\n",
+            "Step 46: Win/lose count 4.0/3.0. Average score (2.765957446808511)\n",
+            "Step 47: Win/lose count 3.0/1.0. Average score (2.75)\n",
+            "Step 48: Win/lose count 2.5/1.0. Average score (2.7244897959183674)\n",
+            "Step 49: Win/lose count 3.0/3.0. Average score (2.67)\n",
+            "Step 50: Win/lose count 3.5/2.0. Average score (2.6470588235294117)\n",
+            "Step 51: Win/lose count 7.5/1.0. Average score (2.7211538461538463)\n",
+            "Step 52: Win/lose count 6.5/6.0. Average score (2.6792452830188678)\n",
+            "Step 53: Win/lose count 3.0/6.0. Average score (2.574074074074074)\n",
+            "Step 54: Win/lose count 4.0/1.0. Average score (2.581818181818182)\n",
+            "Step 55: Win/lose count 3.0/2.0. Average score (2.5535714285714284)\n",
+            "Step 56: Win/lose count 3.0/1.0. Average score (2.543859649122807)\n",
+            "Step 57: Win/lose count 3.5/2.0. Average score (2.5258620689655173)\n",
+            "Step 58: Win/lose count 5.5/4.0. Average score (2.5084745762711864)\n",
+            "Step 59: Win/lose count 5.5/5.0. Average score (2.475)\n",
+            "Step 60: Win/lose count 4.0/3.0. Average score (2.4508196721311477)\n",
+            "Step 61: Win/lose count 2.5/2.0. Average score (2.4193548387096775)\n",
+            "Step 62: Win/lose count 7.5/4.0. Average score (2.4365079365079363)\n",
+            "Step 63: Win/lose count 3.5/3.0. Average score (2.40625)\n",
+            "Step 64: Win/lose count 8.0/4.0. Average score (2.4307692307692306)\n",
+            "Step 65: Win/lose count 7.0/4.0. Average score (2.4393939393939394)\n",
+            "Step 66: Win/lose count 5.5/6.0. Average score (2.3955223880597014)\n",
+            "Step 67: Win/lose count 8.5/4.0. Average score (2.426470588235294)\n",
+            "Step 68: Win/lose count 2.0/2.0. Average score (2.391304347826087)\n",
+            "Step 69: Win/lose count 5.5/3.0. Average score (2.392857142857143)\n",
+            "Step 70: Win/lose count 9.0/2.0. Average score (2.4577464788732395)\n",
+            "Step 71: Win/lose count 7.0/4.0. Average score (2.4652777777777777)\n",
+            "Step 72: Win/lose count 4.5/0. Average score (2.493150684931507)\n",
+            "Step 73: Win/lose count 3.5/4.0. Average score (2.4527027027027026)\n",
+            "Step 74: Win/lose count 4.0/2.0. Average score (2.4466666666666668)\n",
+            "Step 75: Win/lose count 3.5/2.0. Average score (2.4342105263157894)\n",
+            "Step 76: Win/lose count 1.0/1.0. Average score (2.4025974025974026)\n",
+            "Step 77: Win/lose count 3.0/2.0. Average score (2.3846153846153846)\n",
+            "Step 78: Win/lose count 3.0/0. Average score (2.392405063291139)\n",
+            "Step 79: Win/lose count 5.0/3.0. Average score (2.3875)\n",
+            "Step 80: Win/lose count 7.5/3.0. Average score (2.4135802469135803)\n",
+            "Step 81: Win/lose count 5.5/1.0. Average score (2.4390243902439024)\n",
+            "Step 82: Win/lose count 5.5/4.0. Average score (2.427710843373494)\n",
+            "Step 83: Win/lose count 4.5/7.0. Average score (2.369047619047619)\n",
+            "Step 84: Win/lose count 4.0/4.0. Average score (2.3411764705882354)\n",
+            "Step 85: Win/lose count 2.0/3.0. Average score (2.302325581395349)\n",
+            "Step 86: Win/lose count 4.5/1.0. Average score (2.3160919540229883)\n",
+            "Step 87: Win/lose count 6.0/3.0. Average score (2.3238636363636362)\n",
+            "Step 88: Win/lose count 1.0/3.0. Average score (2.2752808988764044)\n",
+            "Step 89: Win/lose count 5.0/4.0. Average score (2.261111111111111)\n",
+            "Step 90: Win/lose count 3.0/3.0. Average score (2.2362637362637363)\n",
+            "Step 91: Win/lose count 6.5/5.0. Average score (2.2282608695652173)\n",
+            "Step 92: Win/lose count 7.0/2.0. Average score (2.2580645161290325)\n",
+            "Step 93: Win/lose count 5.0/3.0. Average score (2.25531914893617)\n",
+            "Step 94: Win/lose count 4.5/0. Average score (2.278947368421053)\n",
+            "Step 95: Win/lose count 3.0/2.0. Average score (2.265625)\n",
+            "Step 96: Win/lose count 5.0/3.0. Average score (2.2628865979381443)\n",
+            "Step 97: Win/lose count 6.5/2.0. Average score (2.2857142857142856)\n",
+            "Step 98: Win/lose count 9.0/2.0. Average score (2.3333333333333335)\n",
+            "Step 99: Win/lose count 5.5/2.0. Average score (2.345)\n",
+            "Step 100: Win/lose count 7.0/3.0. Average score (2.3613861386138613)\n",
+            "Final score: 2.385\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 3.0/2.0. Average score (0.5)\n",
+            "Step 2: Win/lose count 8.5/0. Average score (3.1666666666666665)\n",
+            "Step 3: Win/lose count 3.0/0. Average score (3.125)\n",
+            "Step 4: Win/lose count 7.5/1.0. Average score (3.8)\n",
+            "Step 5: Win/lose count 4.0/1.0. Average score (3.6666666666666665)\n",
+            "Step 6: Win/lose count 4.0/0. Average score (3.7142857142857144)\n",
+            "Step 7: Win/lose count 6.0/4.0. Average score (3.5)\n",
+            "Step 8: Win/lose count 2.0/4.0. Average score (2.888888888888889)\n",
+            "Step 9: Win/lose count 6.5/2.0. Average score (3.05)\n",
+            "Step 10: Win/lose count 0.5/0. Average score (2.8181818181818183)\n",
+            "Step 11: Win/lose count 3.0/2.0. Average score (2.6666666666666665)\n",
+            "Step 12: Win/lose count 7.0/2.0. Average score (2.8461538461538463)\n",
+            "Step 13: Win/lose count 5.0/2.0. Average score (2.857142857142857)\n",
+            "Step 14: Win/lose count 5.0/2.0. Average score (2.8666666666666667)\n",
+            "Step 15: Win/lose count 5.5/1.0. Average score (2.96875)\n",
+            "Step 16: Win/lose count 3.5/5.0. Average score (2.7058823529411766)\n",
+            "Step 17: Win/lose count 6.0/2.0. Average score (2.7777777777777777)\n",
+            "Step 18: Win/lose count 7.0/2.0. Average score (2.8947368421052633)\n",
+            "Step 19: Win/lose count 4.0/0. Average score (2.95)\n",
+            "Step 20: Win/lose count 7.0/7.0. Average score (2.8095238095238093)\n",
+            "Step 21: Win/lose count 5.5/3.0. Average score (2.7954545454545454)\n",
+            "Step 22: Win/lose count 7.5/1.0. Average score (2.9565217391304346)\n",
+            "Step 23: Win/lose count 6.0/3.0. Average score (2.9583333333333335)\n",
+            "Step 24: Win/lose count 4.0/5.0. Average score (2.8)\n",
+            "Step 25: Win/lose count 3.5/1.0. Average score (2.7884615384615383)\n",
+            "Step 26: Win/lose count 4.5/2.0. Average score (2.7777777777777777)\n",
+            "Step 27: Win/lose count 7.5/3.0. Average score (2.8392857142857144)\n",
+            "Step 28: Win/lose count 6.5/3.0. Average score (2.8620689655172415)\n",
+            "Step 29: Win/lose count 1.5/0. Average score (2.816666666666667)\n",
+            "Step 30: Win/lose count 3.0/4.0. Average score (2.693548387096774)\n",
+            "Step 31: Win/lose count 5.0/4.0. Average score (2.640625)\n",
+            "Step 32: Win/lose count 2.0/1.0. Average score (2.590909090909091)\n",
+            "Step 33: Win/lose count 4.0/2.0. Average score (2.573529411764706)\n",
+            "Step 34: Win/lose count 8.5/1.0. Average score (2.7142857142857144)\n",
+            "Step 35: Win/lose count 3.5/3.0. Average score (2.6527777777777777)\n",
+            "Step 36: Win/lose count 2.5/2.0. Average score (2.5945945945945947)\n",
+            "Step 37: Win/lose count 5.5/1.0. Average score (2.6447368421052633)\n",
+            "Step 38: Win/lose count 5.5/1.0. Average score (2.6923076923076925)\n",
+            "Step 39: Win/lose count 4.0/2.0. Average score (2.675)\n",
+            "Step 40: Win/lose count 8.0/1.0. Average score (2.7804878048780486)\n",
+            "Step 41: Win/lose count 5.0/4.0. Average score (2.738095238095238)\n",
+            "Step 42: Win/lose count 8.5/3.0. Average score (2.802325581395349)\n",
+            "Step 43: Win/lose count 4.5/4.0. Average score (2.75)\n",
+            "Step 44: Win/lose count 8.0/2.0. Average score (2.8222222222222224)\n",
+            "Step 45: Win/lose count 4.5/2.0. Average score (2.8152173913043477)\n",
+            "Step 46: Win/lose count 8.0/1.0. Average score (2.904255319148936)\n",
+            "Step 47: Win/lose count 5.0/1.0. Average score (2.9270833333333335)\n",
+            "Step 48: Win/lose count 5.5/1.0. Average score (2.9591836734693877)\n",
+            "Step 49: Win/lose count 6.5/4.0. Average score (2.95)\n",
+            "Step 50: Win/lose count 11.0/2.0. Average score (3.0686274509803924)\n",
+            "Step 51: Win/lose count 8.5/1.0. Average score (3.1538461538461537)\n",
+            "Step 52: Win/lose count 3.5/3.0. Average score (3.1037735849056602)\n",
+            "Step 53: Win/lose count 0.5/4.0. Average score (2.9814814814814814)\n",
+            "Step 54: Win/lose count 2.5/0. Average score (2.9727272727272727)\n",
+            "Step 55: Win/lose count 8.0/1.0. Average score (3.044642857142857)\n",
+            "Step 56: Win/lose count 2.0/3.0. Average score (2.973684210526316)\n",
+            "Step 57: Win/lose count 1.0/0. Average score (2.939655172413793)\n",
+            "Step 58: Win/lose count 8.0/2.0. Average score (2.9915254237288136)\n",
+            "Step 59: Win/lose count 7.0/1.0. Average score (3.0416666666666665)\n",
+            "Step 60: Win/lose count 1.0/4.0. Average score (2.942622950819672)\n",
+            "Step 61: Win/lose count 0.5/1.0. Average score (2.8870967741935485)\n",
+            "Step 62: Win/lose count 9.0/4.0. Average score (2.9206349206349205)\n",
+            "Step 63: Win/lose count 2.0/4.0. Average score (2.84375)\n",
+            "Step 64: Win/lose count 1.5/0. Average score (2.8230769230769233)\n",
+            "Step 65: Win/lose count 4.5/1.0. Average score (2.8333333333333335)\n",
+            "Step 66: Win/lose count 2.5/6.0. Average score (2.7388059701492535)\n",
+            "Step 67: Win/lose count 1.5/3.0. Average score (2.676470588235294)\n",
+            "Step 68: Win/lose count 2.0/2.0. Average score (2.63768115942029)\n",
+            "Step 69: Win/lose count 7.0/1.0. Average score (2.6857142857142855)\n",
+            "Step 70: Win/lose count 3.0/3.0. Average score (2.647887323943662)\n",
+            "Step 71: Win/lose count 4.0/2.0. Average score (2.638888888888889)\n",
+            "Step 72: Win/lose count 3.0/2.0. Average score (2.6164383561643834)\n",
+            "Step 73: Win/lose count 3.0/3.0. Average score (2.581081081081081)\n",
+            "Step 74: Win/lose count 3.0/4.0. Average score (2.533333333333333)\n",
+            "Step 75: Win/lose count 7.5/0. Average score (2.598684210526316)\n",
+            "Step 76: Win/lose count 4.0/3.0. Average score (2.5779220779220777)\n",
+            "Step 77: Win/lose count 3.5/5.0. Average score (2.5256410256410255)\n",
+            "Step 78: Win/lose count 4.0/2.0. Average score (2.518987341772152)\n",
+            "Step 79: Win/lose count 9.0/2.0. Average score (2.575)\n",
+            "Step 80: Win/lose count 9.0/3.0. Average score (2.617283950617284)\n",
+            "Step 81: Win/lose count 5.0/2.0. Average score (2.6219512195121952)\n",
+            "Step 82: Win/lose count 6.0/1.0. Average score (2.6506024096385543)\n",
+            "Step 83: Win/lose count 8.5/2.0. Average score (2.6964285714285716)\n",
+            "Step 84: Win/lose count 6.5/2.0. Average score (2.7176470588235295)\n",
+            "Step 85: Win/lose count 8.5/5.0. Average score (2.7267441860465116)\n",
+            "Step 86: Win/lose count 3.0/1.0. Average score (2.718390804597701)\n",
+            "Step 87: Win/lose count 3.5/2.0. Average score (2.7045454545454546)\n",
+            "Step 88: Win/lose count 3.0/2.0. Average score (2.6853932584269664)\n",
+            "Step 89: Win/lose count 5.5/6.0. Average score (2.65)\n",
+            "Step 90: Win/lose count 3.5/3.0. Average score (2.6263736263736264)\n",
+            "Step 91: Win/lose count 4.0/4.0. Average score (2.597826086956522)\n",
+            "Step 92: Win/lose count 2.5/1.0. Average score (2.586021505376344)\n",
+            "Step 93: Win/lose count 9.0/3.0. Average score (2.622340425531915)\n",
+            "Step 94: Win/lose count 5.5/4.0. Average score (2.610526315789474)\n",
+            "Step 95: Win/lose count 3.0/1.0. Average score (2.6041666666666665)\n",
+            "Step 96: Win/lose count 5.0/2.0. Average score (2.6082474226804124)\n",
+            "Step 97: Win/lose count 4.5/1.0. Average score (2.61734693877551)\n",
+            "Step 98: Win/lose count 1.5/2.0. Average score (2.585858585858586)\n",
+            "Step 99: Win/lose count 7.0/2.0. Average score (2.61)\n",
+            "Step 100: Win/lose count 9.5/9.0. Average score (2.589108910891089)\n",
+            "Final score: 2.615\n",
+            "=========================================================\n",
+            "Model n°4\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 0.5/3.0. Average score (-1.25)\n",
+            "Step 2: Win/lose count 5.5/9.0. Average score (-2.0)\n",
+            "Step 3: Win/lose count 3.0/11.0. Average score (-3.5)\n",
+            "Step 4: Win/lose count 2.0/4.0. Average score (-3.2)\n",
+            "Step 5: Win/lose count 7.0/8.0. Average score (-2.8333333333333335)\n",
+            "Step 6: Win/lose count 3.5/6.0. Average score (-2.7857142857142856)\n",
+            "Step 7: Win/lose count 9.0/6.0. Average score (-2.0625)\n",
+            "Step 8: Win/lose count 7.5/10.0. Average score (-2.111111111111111)\n",
+            "Step 9: Win/lose count 4.5/5.0. Average score (-1.95)\n",
+            "Step 10: Win/lose count 9.0/8.0. Average score (-1.6818181818181819)\n",
+            "Step 11: Win/lose count 3.5/3.0. Average score (-1.5)\n",
+            "Step 12: Win/lose count 3.0/4.0. Average score (-1.4615384615384615)\n",
+            "Step 13: Win/lose count 3.0/2.0. Average score (-1.2857142857142858)\n",
+            "Step 14: Win/lose count 4.0/4.0. Average score (-1.2)\n",
+            "Step 15: Win/lose count 5.5/5.0. Average score (-1.09375)\n",
+            "Step 16: Win/lose count 1.0/1.0. Average score (-1.0294117647058822)\n",
+            "Step 17: Win/lose count 4.5/2.0. Average score (-0.8333333333333334)\n",
+            "Step 18: Win/lose count 4.5/7.0. Average score (-0.9210526315789473)\n",
+            "Step 19: Win/lose count 5.0/7.0. Average score (-0.975)\n",
+            "Step 20: Win/lose count 4.5/6.0. Average score (-1.0)\n",
+            "Step 21: Win/lose count 5.5/7.0. Average score (-1.0227272727272727)\n",
+            "Step 22: Win/lose count 7.5/7.0. Average score (-0.9565217391304348)\n",
+            "Step 23: Win/lose count 4.5/4.0. Average score (-0.8958333333333334)\n",
+            "Step 24: Win/lose count 8.0/7.0. Average score (-0.82)\n",
+            "Step 25: Win/lose count 2.5/6.0. Average score (-0.9230769230769231)\n",
+            "Step 26: Win/lose count 5.0/8.0. Average score (-1.0)\n",
+            "Step 27: Win/lose count 2.0/4.0. Average score (-1.0357142857142858)\n",
+            "Step 28: Win/lose count 5.0/3.0. Average score (-0.9310344827586207)\n",
+            "Step 29: Win/lose count 6.5/5.0. Average score (-0.85)\n",
+            "Step 30: Win/lose count 4.5/3.0. Average score (-0.7741935483870968)\n",
+            "Step 31: Win/lose count 5.0/6.0. Average score (-0.78125)\n",
+            "Step 32: Win/lose count 7.5/7.0. Average score (-0.7424242424242424)\n",
+            "Step 33: Win/lose count 7.5/3.0. Average score (-0.5882352941176471)\n",
+            "Step 34: Win/lose count 4.5/8.0. Average score (-0.6714285714285714)\n",
+            "Step 35: Win/lose count 3.0/6.0. Average score (-0.7361111111111112)\n",
+            "Step 36: Win/lose count 2.0/5.0. Average score (-0.7972972972972973)\n",
+            "Step 37: Win/lose count 9.5/9.0. Average score (-0.7631578947368421)\n",
+            "Step 38: Win/lose count 4.0/2.0. Average score (-0.6923076923076923)\n",
+            "Step 39: Win/lose count 5.5/13.0. Average score (-0.8625)\n",
+            "Step 40: Win/lose count 10.0/10.0. Average score (-0.8414634146341463)\n",
+            "Step 41: Win/lose count 4.0/6.0. Average score (-0.8690476190476191)\n",
+            "Step 42: Win/lose count 1.5/2.0. Average score (-0.8604651162790697)\n",
+            "Step 43: Win/lose count 8.0/3.0. Average score (-0.7272727272727273)\n",
+            "Step 44: Win/lose count 2.0/3.0. Average score (-0.7333333333333333)\n",
+            "Step 45: Win/lose count 5.0/1.0. Average score (-0.6304347826086957)\n",
+            "Step 46: Win/lose count 2.5/3.0. Average score (-0.6276595744680851)\n",
+            "Step 47: Win/lose count 3.0/1.0. Average score (-0.5729166666666666)\n",
+            "Step 48: Win/lose count 5.0/5.0. Average score (-0.5612244897959183)\n",
+            "Step 49: Win/lose count 6.0/4.0. Average score (-0.51)\n",
+            "Step 50: Win/lose count 2.0/1.0. Average score (-0.4803921568627451)\n",
+            "Step 51: Win/lose count 7.5/8.0. Average score (-0.4807692307692308)\n",
+            "Step 52: Win/lose count 2.0/2.0. Average score (-0.4716981132075472)\n",
+            "Step 53: Win/lose count 6.5/7.0. Average score (-0.4722222222222222)\n",
+            "Step 54: Win/lose count 5.0/4.0. Average score (-0.44545454545454544)\n",
+            "Step 55: Win/lose count 5.5/11.0. Average score (-0.5357142857142857)\n",
+            "Step 56: Win/lose count 1.5/1.0. Average score (-0.5175438596491229)\n",
+            "Step 57: Win/lose count 2.0/7.0. Average score (-0.5948275862068966)\n",
+            "Step 58: Win/lose count 5.5/8.0. Average score (-0.6271186440677966)\n",
+            "Step 59: Win/lose count 4.0/7.0. Average score (-0.6666666666666666)\n",
+            "Step 60: Win/lose count 5.5/3.0. Average score (-0.6147540983606558)\n",
+            "Step 61: Win/lose count 2.0/3.0. Average score (-0.6209677419354839)\n",
+            "Step 62: Win/lose count 2.0/5.0. Average score (-0.6587301587301587)\n",
+            "Step 63: Win/lose count 5.0/3.0. Average score (-0.6171875)\n",
+            "Step 64: Win/lose count 7.5/9.0. Average score (-0.6307692307692307)\n",
+            "Step 65: Win/lose count 9.0/2.0. Average score (-0.5151515151515151)\n",
+            "Step 66: Win/lose count 3.5/2.0. Average score (-0.48507462686567165)\n",
+            "Step 67: Win/lose count 3.5/5.0. Average score (-0.5)\n",
+            "Step 68: Win/lose count 5.0/8.0. Average score (-0.5362318840579711)\n",
+            "Step 69: Win/lose count 2.5/8.0. Average score (-0.6071428571428571)\n",
+            "Step 70: Win/lose count 1.5/5.0. Average score (-0.647887323943662)\n",
+            "Step 71: Win/lose count 4.5/2.0. Average score (-0.6041666666666666)\n",
+            "Step 72: Win/lose count 5.5/9.0. Average score (-0.6438356164383562)\n",
+            "Step 73: Win/lose count 8.0/10.0. Average score (-0.6621621621621622)\n",
+            "Step 74: Win/lose count 4.5/8.0. Average score (-0.7)\n",
+            "Step 75: Win/lose count 8.0/3.0. Average score (-0.625)\n",
+            "Step 76: Win/lose count 4.0/2.0. Average score (-0.5909090909090909)\n",
+            "Step 77: Win/lose count 2.0/7.0. Average score (-0.6474358974358975)\n",
+            "Step 78: Win/lose count 3.5/2.0. Average score (-0.620253164556962)\n",
+            "Step 79: Win/lose count 5.0/4.0. Average score (-0.6)\n",
+            "Step 80: Win/lose count 5.5/3.0. Average score (-0.5617283950617284)\n",
+            "Step 81: Win/lose count 3.5/8.0. Average score (-0.6097560975609756)\n",
+            "Step 82: Win/lose count 3.0/1.0. Average score (-0.5783132530120482)\n",
+            "Step 83: Win/lose count 3.0/3.0. Average score (-0.5714285714285714)\n",
+            "Step 84: Win/lose count 4.5/4.0. Average score (-0.5588235294117647)\n",
+            "Step 85: Win/lose count 1.0/5.0. Average score (-0.5988372093023255)\n",
+            "Step 86: Win/lose count 7.5/2.0. Average score (-0.5287356321839081)\n",
+            "Step 87: Win/lose count 6.0/3.0. Average score (-0.48863636363636365)\n",
+            "Step 88: Win/lose count 5.0/8.0. Average score (-0.5168539325842697)\n",
+            "Step 89: Win/lose count 6.0/2.0. Average score (-0.4666666666666667)\n",
+            "Step 90: Win/lose count 4.0/7.0. Average score (-0.4945054945054945)\n",
+            "Step 91: Win/lose count 5.5/5.0. Average score (-0.483695652173913)\n",
+            "Step 92: Win/lose count 5.0/3.0. Average score (-0.45698924731182794)\n",
+            "Step 93: Win/lose count 4.5/4.0. Average score (-0.44680851063829785)\n",
+            "Step 94: Win/lose count 5.5/7.0. Average score (-0.45789473684210524)\n",
+            "Step 95: Win/lose count 3.5/4.0. Average score (-0.4583333333333333)\n",
+            "Step 96: Win/lose count 5.5/7.0. Average score (-0.4690721649484536)\n",
+            "Step 97: Win/lose count 6.5/3.0. Average score (-0.42857142857142855)\n",
+            "Step 98: Win/lose count 5.0/9.0. Average score (-0.46464646464646464)\n",
+            "Step 99: Win/lose count 0.5/1.0. Average score (-0.465)\n",
+            "Step 100: Win/lose count 2.5/4.0. Average score (-0.4752475247524752)\n",
+            "Final score: -0.48\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 2.0/4.0. Average score (-1.0)\n",
+            "Step 2: Win/lose count 4.0/5.0. Average score (-1.0)\n",
+            "Step 3: Win/lose count 2.5/3.0. Average score (-0.875)\n",
+            "Step 4: Win/lose count 5.0/6.0. Average score (-0.9)\n",
+            "Step 5: Win/lose count 5.5/2.0. Average score (-0.16666666666666666)\n",
+            "Step 6: Win/lose count 2.0/0. Average score (0.14285714285714285)\n",
+            "Step 7: Win/lose count 2.0/5.0. Average score (-0.25)\n",
+            "Step 8: Win/lose count 5.5/6.0. Average score (-0.2777777777777778)\n",
+            "Step 9: Win/lose count 2.5/4.0. Average score (-0.4)\n",
+            "Step 10: Win/lose count 6.5/4.0. Average score (-0.13636363636363635)\n",
+            "Step 11: Win/lose count 7.5/5.0. Average score (0.08333333333333333)\n",
+            "Step 12: Win/lose count 2.0/3.0. Average score (0.0)\n",
+            "Step 13: Win/lose count 2.5/2.0. Average score (0.03571428571428571)\n",
+            "Step 14: Win/lose count 2.0/0. Average score (0.16666666666666666)\n",
+            "Step 15: Win/lose count 3.5/4.0. Average score (0.125)\n",
+            "Step 16: Win/lose count 3.0/3.0. Average score (0.11764705882352941)\n",
+            "Step 17: Win/lose count 2.5/2.0. Average score (0.1388888888888889)\n",
+            "Step 18: Win/lose count 3.0/5.0. Average score (0.02631578947368421)\n",
+            "Step 19: Win/lose count 3.5/4.0. Average score (0.0)\n",
+            "Step 20: Win/lose count 4.0/3.0. Average score (0.047619047619047616)\n",
+            "Step 21: Win/lose count 2.5/1.0. Average score (0.11363636363636363)\n",
+            "Step 22: Win/lose count 2.5/3.0. Average score (0.08695652173913043)\n",
+            "Step 23: Win/lose count 3.5/4.0. Average score (0.0625)\n",
+            "Step 24: Win/lose count 1.5/2.0. Average score (0.04)\n",
+            "Step 25: Win/lose count 1.0/5.0. Average score (-0.11538461538461539)\n",
+            "Step 26: Win/lose count 3.5/2.0. Average score (-0.05555555555555555)\n",
+            "Step 27: Win/lose count 3.5/2.0. Average score (0.0)\n",
+            "Step 28: Win/lose count 1.5/6.0. Average score (-0.15517241379310345)\n",
+            "Step 29: Win/lose count 2.5/2.0. Average score (-0.13333333333333333)\n",
+            "Step 30: Win/lose count 4.5/4.0. Average score (-0.11290322580645161)\n",
+            "Step 31: Win/lose count 3.0/7.0. Average score (-0.234375)\n",
+            "Step 32: Win/lose count 2.0/2.0. Average score (-0.22727272727272727)\n",
+            "Step 33: Win/lose count 4.5/7.0. Average score (-0.29411764705882354)\n",
+            "Step 34: Win/lose count 4.0/10.0. Average score (-0.45714285714285713)\n",
+            "Step 35: Win/lose count 2.0/3.0. Average score (-0.4722222222222222)\n",
+            "Step 36: Win/lose count 7.0/7.0. Average score (-0.4594594594594595)\n",
+            "Step 37: Win/lose count 4.0/8.0. Average score (-0.5526315789473685)\n",
+            "Step 38: Win/lose count 4.0/6.0. Average score (-0.5897435897435898)\n",
+            "Step 39: Win/lose count 2.0/1.0. Average score (-0.55)\n",
+            "Step 40: Win/lose count 2.5/4.0. Average score (-0.573170731707317)\n",
+            "Step 41: Win/lose count 4.5/2.0. Average score (-0.5)\n",
+            "Step 42: Win/lose count 7.0/8.0. Average score (-0.5116279069767442)\n",
+            "Step 43: Win/lose count 3.0/4.0. Average score (-0.5227272727272727)\n",
+            "Step 44: Win/lose count 2.5/2.0. Average score (-0.5)\n",
+            "Step 45: Win/lose count 4.5/3.0. Average score (-0.45652173913043476)\n",
+            "Step 46: Win/lose count 3.0/4.0. Average score (-0.46808510638297873)\n",
+            "Step 47: Win/lose count 3.0/1.0. Average score (-0.4166666666666667)\n",
+            "Step 48: Win/lose count 3.0/2.0. Average score (-0.3877551020408163)\n",
+            "Step 49: Win/lose count 5.0/3.0. Average score (-0.34)\n",
+            "Step 50: Win/lose count 2.0/2.0. Average score (-0.3333333333333333)\n",
+            "Step 51: Win/lose count 5.0/13.0. Average score (-0.4807692307692308)\n",
+            "Step 52: Win/lose count 0.5/1.0. Average score (-0.4811320754716981)\n",
+            "Step 53: Win/lose count 3.0/3.0. Average score (-0.4722222222222222)\n",
+            "Step 54: Win/lose count 1.0/6.0. Average score (-0.5545454545454546)\n",
+            "Step 55: Win/lose count 4.5/2.0. Average score (-0.5)\n",
+            "Step 56: Win/lose count 3.0/6.0. Average score (-0.543859649122807)\n",
+            "Step 57: Win/lose count 5.5/10.0. Average score (-0.6120689655172413)\n",
+            "Step 58: Win/lose count 6.0/7.0. Average score (-0.6186440677966102)\n",
+            "Step 59: Win/lose count 2.0/3.0. Average score (-0.625)\n",
+            "Step 60: Win/lose count 3.5/4.0. Average score (-0.6229508196721312)\n",
+            "Step 61: Win/lose count 2.5/4.0. Average score (-0.6370967741935484)\n",
+            "Step 62: Win/lose count 4.0/4.0. Average score (-0.626984126984127)\n",
+            "Step 63: Win/lose count 2.5/6.0. Average score (-0.671875)\n",
+            "Step 64: Win/lose count 4.0/7.0. Average score (-0.7076923076923077)\n",
+            "Step 65: Win/lose count 3.5/7.0. Average score (-0.75)\n",
+            "Step 66: Win/lose count 4.0/1.0. Average score (-0.6940298507462687)\n",
+            "Step 67: Win/lose count 3.0/9.0. Average score (-0.7720588235294118)\n",
+            "Step 68: Win/lose count 2.5/5.0. Average score (-0.7971014492753623)\n",
+            "Step 69: Win/lose count 3.5/2.0. Average score (-0.7642857142857142)\n",
+            "Step 70: Win/lose count 7.5/2.0. Average score (-0.676056338028169)\n",
+            "Step 71: Win/lose count 4.5/2.0. Average score (-0.6319444444444444)\n",
+            "Step 72: Win/lose count 2.0/2.0. Average score (-0.6232876712328768)\n",
+            "Step 73: Win/lose count 3.5/1.0. Average score (-0.581081081081081)\n",
+            "Step 74: Win/lose count 3.5/4.0. Average score (-0.58)\n",
+            "Step 75: Win/lose count 4.0/4.0. Average score (-0.5723684210526315)\n",
+            "Step 76: Win/lose count 2.5/4.0. Average score (-0.5844155844155844)\n",
+            "Step 77: Win/lose count 3.5/6.0. Average score (-0.6089743589743589)\n",
+            "Step 78: Win/lose count 1.0/4.0. Average score (-0.6392405063291139)\n",
+            "Step 79: Win/lose count 1.5/6.0. Average score (-0.6875)\n",
+            "Step 80: Win/lose count 5.5/4.0. Average score (-0.6604938271604939)\n",
+            "Step 81: Win/lose count 3.0/2.0. Average score (-0.6402439024390244)\n",
+            "Step 82: Win/lose count 2.5/5.0. Average score (-0.6626506024096386)\n",
+            "Step 83: Win/lose count 5.5/5.0. Average score (-0.6488095238095238)\n",
+            "Step 84: Win/lose count 3.5/5.0. Average score (-0.6588235294117647)\n",
+            "Step 85: Win/lose count 4.5/3.0. Average score (-0.6337209302325582)\n",
+            "Step 86: Win/lose count 1.0/3.0. Average score (-0.6494252873563219)\n",
+            "Step 87: Win/lose count 4.5/2.0. Average score (-0.6136363636363636)\n",
+            "Step 88: Win/lose count 3.5/3.0. Average score (-0.601123595505618)\n",
+            "Step 89: Win/lose count 2.0/1.0. Average score (-0.5833333333333334)\n",
+            "Step 90: Win/lose count 5.0/2.0. Average score (-0.5439560439560439)\n",
+            "Step 91: Win/lose count 2.5/7.0. Average score (-0.5869565217391305)\n",
+            "Step 92: Win/lose count 3.5/2.0. Average score (-0.5645161290322581)\n",
+            "Step 93: Win/lose count 1.0/3.0. Average score (-0.5797872340425532)\n",
+            "Step 94: Win/lose count 2.0/6.0. Average score (-0.6157894736842106)\n",
+            "Step 95: Win/lose count 3.0/2.0. Average score (-0.5989583333333334)\n",
+            "Step 96: Win/lose count 3.5/3.0. Average score (-0.5876288659793815)\n",
+            "Step 97: Win/lose count 7.5/5.0. Average score (-0.5561224489795918)\n",
+            "Step 98: Win/lose count 3.5/5.0. Average score (-0.5656565656565656)\n",
+            "Step 99: Win/lose count 3.5/1.0. Average score (-0.535)\n",
+            "Step 100: Win/lose count 2.5/6.0. Average score (-0.5643564356435643)\n",
+            "Final score: -0.57\n",
+            "=========================================================\n",
+            "Model n°5\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 3.5/8.0. Average score (-2.25)\n",
+            "Step 2: Win/lose count 3.0/11.0. Average score (-4.166666666666667)\n",
+            "Step 3: Win/lose count 4.0/9.0. Average score (-4.375)\n",
+            "Step 4: Win/lose count 5.5/11.0. Average score (-4.6)\n",
+            "Step 5: Win/lose count 1.0/2.0. Average score (-4.0)\n",
+            "Step 6: Win/lose count 5.5/7.0. Average score (-3.642857142857143)\n",
+            "Step 7: Win/lose count 2.0/4.0. Average score (-3.4375)\n",
+            "Step 8: Win/lose count 5.5/8.0. Average score (-3.3333333333333335)\n",
+            "Step 9: Win/lose count 7.5/6.0. Average score (-2.85)\n",
+            "Step 10: Win/lose count 2.5/3.0. Average score (-2.6363636363636362)\n",
+            "Step 11: Win/lose count 4.5/5.0. Average score (-2.4583333333333335)\n",
+            "Step 12: Win/lose count 6.0/6.0. Average score (-2.269230769230769)\n",
+            "Step 13: Win/lose count 3.0/4.0. Average score (-2.1785714285714284)\n",
+            "Step 14: Win/lose count 4.5/9.0. Average score (-2.3333333333333335)\n",
+            "Step 15: Win/lose count 4.5/8.0. Average score (-2.40625)\n",
+            "Step 16: Win/lose count 2.0/9.0. Average score (-2.676470588235294)\n",
+            "Step 17: Win/lose count 2.5/2.0. Average score (-2.5)\n",
+            "Step 18: Win/lose count 3.0/6.0. Average score (-2.526315789473684)\n",
+            "Step 19: Win/lose count 3.5/8.0. Average score (-2.625)\n",
+            "Step 20: Win/lose count 0/1.0. Average score (-2.5476190476190474)\n",
+            "Step 21: Win/lose count 3.0/5.0. Average score (-2.522727272727273)\n",
+            "Step 22: Win/lose count 5.5/5.0. Average score (-2.391304347826087)\n",
+            "Step 23: Win/lose count 4.5/14.0. Average score (-2.6875)\n",
+            "Step 24: Win/lose count 8.5/8.0. Average score (-2.56)\n",
+            "Step 25: Win/lose count 2.5/3.0. Average score (-2.480769230769231)\n",
+            "Step 26: Win/lose count 2.5/4.0. Average score (-2.4444444444444446)\n",
+            "Step 27: Win/lose count 6.0/6.0. Average score (-2.357142857142857)\n",
+            "Step 28: Win/lose count 3.0/4.0. Average score (-2.310344827586207)\n",
+            "Step 29: Win/lose count 3.5/2.0. Average score (-2.183333333333333)\n",
+            "Step 30: Win/lose count 0.5/5.0. Average score (-2.2580645161290325)\n",
+            "Step 31: Win/lose count 3.0/6.0. Average score (-2.28125)\n",
+            "Step 32: Win/lose count 3.0/6.0. Average score (-2.303030303030303)\n",
+            "Step 33: Win/lose count 4.0/7.0. Average score (-2.323529411764706)\n",
+            "Step 34: Win/lose count 2.0/3.0. Average score (-2.2857142857142856)\n",
+            "Step 35: Win/lose count 1.5/4.0. Average score (-2.2916666666666665)\n",
+            "Step 36: Win/lose count 3.5/7.0. Average score (-2.324324324324324)\n",
+            "Step 37: Win/lose count 2.5/7.0. Average score (-2.3815789473684212)\n",
+            "Step 38: Win/lose count 2.0/3.0. Average score (-2.3461538461538463)\n",
+            "Step 39: Win/lose count 4.5/4.0. Average score (-2.275)\n",
+            "Step 40: Win/lose count 3.0/3.0. Average score (-2.2195121951219514)\n",
+            "Step 41: Win/lose count 2.5/5.0. Average score (-2.2261904761904763)\n",
+            "Step 42: Win/lose count 3.0/4.0. Average score (-2.197674418604651)\n",
+            "Step 43: Win/lose count 3.0/6.0. Average score (-2.215909090909091)\n",
+            "Step 44: Win/lose count 3.0/3.0. Average score (-2.1666666666666665)\n",
+            "Step 45: Win/lose count 4.5/7.0. Average score (-2.1739130434782608)\n",
+            "Step 46: Win/lose count 2.5/3.0. Average score (-2.1382978723404253)\n",
+            "Step 47: Win/lose count 0.5/8.0. Average score (-2.25)\n",
+            "Step 48: Win/lose count 3.5/5.0. Average score (-2.2346938775510203)\n",
+            "Step 49: Win/lose count 3.5/10.0. Average score (-2.32)\n",
+            "Step 50: Win/lose count 4.0/5.0. Average score (-2.2941176470588234)\n",
+            "Step 51: Win/lose count 3.0/7.0. Average score (-2.326923076923077)\n",
+            "Step 52: Win/lose count 3.0/2.0. Average score (-2.2641509433962264)\n",
+            "Step 53: Win/lose count 3.0/3.0. Average score (-2.2222222222222223)\n",
+            "Step 54: Win/lose count 2.0/5.0. Average score (-2.2363636363636363)\n",
+            "Step 55: Win/lose count 3.5/7.0. Average score (-2.2589285714285716)\n",
+            "Step 56: Win/lose count 0.5/4.0. Average score (-2.280701754385965)\n",
+            "Step 57: Win/lose count 1.5/0. Average score (-2.2155172413793105)\n",
+            "Step 58: Win/lose count 3.5/8.0. Average score (-2.2542372881355934)\n",
+            "Step 59: Win/lose count 3.0/5.0. Average score (-2.25)\n",
+            "Step 60: Win/lose count 3.0/8.0. Average score (-2.2950819672131146)\n",
+            "Step 61: Win/lose count 3.0/5.0. Average score (-2.2903225806451615)\n",
+            "Step 62: Win/lose count 2.5/7.0. Average score (-2.3253968253968256)\n",
+            "Step 63: Win/lose count 2.5/7.0. Average score (-2.359375)\n",
+            "Step 64: Win/lose count 5.5/11.0. Average score (-2.4076923076923076)\n",
+            "Step 65: Win/lose count 1.5/0. Average score (-2.3484848484848486)\n",
+            "Step 66: Win/lose count 3.5/6.0. Average score (-2.3507462686567164)\n",
+            "Step 67: Win/lose count 1.0/7.0. Average score (-2.4044117647058822)\n",
+            "Step 68: Win/lose count 5.0/2.0. Average score (-2.3260869565217392)\n",
+            "Step 69: Win/lose count 4.5/5.0. Average score (-2.3)\n",
+            "Step 70: Win/lose count 4.0/2.0. Average score (-2.23943661971831)\n",
+            "Step 71: Win/lose count 1.0/7.0. Average score (-2.2916666666666665)\n",
+            "Step 72: Win/lose count 5.0/4.0. Average score (-2.2465753424657535)\n",
+            "Step 73: Win/lose count 4.0/8.0. Average score (-2.27027027027027)\n",
+            "Step 74: Win/lose count 2.0/11.0. Average score (-2.36)\n",
+            "Step 75: Win/lose count 3.5/4.0. Average score (-2.335526315789474)\n",
+            "Step 76: Win/lose count 4.0/5.0. Average score (-2.3181818181818183)\n",
+            "Step 77: Win/lose count 3.5/9.0. Average score (-2.358974358974359)\n",
+            "Step 78: Win/lose count 1.5/1.0. Average score (-2.3227848101265822)\n",
+            "Step 79: Win/lose count 3.5/13.0. Average score (-2.4125)\n",
+            "Step 80: Win/lose count 1.0/4.0. Average score (-2.419753086419753)\n",
+            "Step 81: Win/lose count 1.0/3.0. Average score (-2.4146341463414633)\n",
+            "Step 82: Win/lose count 4.0/6.0. Average score (-2.4096385542168677)\n",
+            "Step 83: Win/lose count 5.5/8.0. Average score (-2.4107142857142856)\n",
+            "Step 84: Win/lose count 2.5/4.0. Average score (-2.4)\n",
+            "Step 85: Win/lose count 3.5/6.0. Average score (-2.4011627906976742)\n",
+            "Step 86: Win/lose count 2.0/2.0. Average score (-2.3735632183908044)\n",
+            "Step 87: Win/lose count 2.0/10.0. Average score (-2.4375)\n",
+            "Step 88: Win/lose count 2.0/4.0. Average score (-2.432584269662921)\n",
+            "Step 89: Win/lose count 2.0/6.0. Average score (-2.45)\n",
+            "Step 90: Win/lose count 3.0/6.0. Average score (-2.456043956043956)\n",
+            "Step 91: Win/lose count 1.0/5.0. Average score (-2.472826086956522)\n",
+            "Step 92: Win/lose count 3.5/12.0. Average score (-2.5376344086021505)\n",
+            "Step 93: Win/lose count 1.0/3.0. Average score (-2.5319148936170213)\n",
+            "Step 94: Win/lose count 3.0/4.0. Average score (-2.5157894736842104)\n",
+            "Step 95: Win/lose count 4.0/2.0. Average score (-2.46875)\n",
+            "Step 96: Win/lose count 5.5/4.0. Average score (-2.4278350515463916)\n",
+            "Step 97: Win/lose count 5.0/3.0. Average score (-2.38265306122449)\n",
+            "Step 98: Win/lose count 6.0/4.0. Average score (-2.3383838383838382)\n",
+            "Step 99: Win/lose count 3.5/4.0. Average score (-2.32)\n",
+            "Step 100: Win/lose count 2.0/3.0. Average score (-2.3069306930693068)\n",
+            "Final score: -2.33\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 2.5/5.0. Average score (-1.25)\n",
+            "Step 2: Win/lose count 8.5/6.0. Average score (0.0)\n",
+            "Step 3: Win/lose count 3.5/5.0. Average score (-0.375)\n",
+            "Step 4: Win/lose count 0.5/1.0. Average score (-0.4)\n",
+            "Step 5: Win/lose count 4.0/3.0. Average score (-0.16666666666666666)\n",
+            "Step 6: Win/lose count 4.5/4.0. Average score (-0.07142857142857142)\n",
+            "Step 7: Win/lose count 4.0/4.0. Average score (-0.0625)\n",
+            "Step 8: Win/lose count 1.5/6.0. Average score (-0.5555555555555556)\n",
+            "Step 9: Win/lose count 2.5/5.0. Average score (-0.75)\n",
+            "Step 10: Win/lose count 5.5/6.0. Average score (-0.7272727272727273)\n",
+            "Step 11: Win/lose count 5.5/4.0. Average score (-0.5416666666666666)\n",
+            "Step 12: Win/lose count 5.0/6.0. Average score (-0.5769230769230769)\n",
+            "Step 13: Win/lose count 3.5/9.0. Average score (-0.9285714285714286)\n",
+            "Step 14: Win/lose count 3.0/2.0. Average score (-0.8)\n",
+            "Step 15: Win/lose count 3.5/4.0. Average score (-0.78125)\n",
+            "Step 16: Win/lose count 5.0/7.0. Average score (-0.8529411764705882)\n",
+            "Step 17: Win/lose count 2.5/10.0. Average score (-1.2222222222222223)\n",
+            "Step 18: Win/lose count 4.0/6.0. Average score (-1.263157894736842)\n",
+            "Step 19: Win/lose count 2.5/8.0. Average score (-1.475)\n",
+            "Step 20: Win/lose count 2.5/3.0. Average score (-1.4285714285714286)\n",
+            "Step 21: Win/lose count 2.5/6.0. Average score (-1.5227272727272727)\n",
+            "Step 22: Win/lose count 2.0/3.0. Average score (-1.5)\n",
+            "Step 23: Win/lose count 3.5/7.0. Average score (-1.5833333333333333)\n",
+            "Step 24: Win/lose count 3.5/4.0. Average score (-1.54)\n",
+            "Step 25: Win/lose count 3.5/3.0. Average score (-1.4615384615384615)\n",
+            "Step 26: Win/lose count 4.0/1.0. Average score (-1.2962962962962963)\n",
+            "Step 27: Win/lose count 3.0/5.0. Average score (-1.3214285714285714)\n",
+            "Step 28: Win/lose count 4.0/3.0. Average score (-1.2413793103448276)\n",
+            "Step 29: Win/lose count 4.0/7.0. Average score (-1.3)\n",
+            "Step 30: Win/lose count 2.0/4.0. Average score (-1.3225806451612903)\n",
+            "Step 31: Win/lose count 3.5/4.0. Average score (-1.296875)\n",
+            "Step 32: Win/lose count 4.0/3.0. Average score (-1.2272727272727273)\n",
+            "Step 33: Win/lose count 5.5/10.0. Average score (-1.3235294117647058)\n",
+            "Step 34: Win/lose count 3.5/4.0. Average score (-1.3)\n",
+            "Step 35: Win/lose count 3.5/4.0. Average score (-1.2777777777777777)\n",
+            "Step 36: Win/lose count 5.0/9.0. Average score (-1.3513513513513513)\n",
+            "Step 37: Win/lose count 2.0/3.0. Average score (-1.3421052631578947)\n",
+            "Step 38: Win/lose count 2.5/3.0. Average score (-1.3205128205128205)\n",
+            "Step 39: Win/lose count 2.0/3.0. Average score (-1.3125)\n",
+            "Step 40: Win/lose count 2.5/4.0. Average score (-1.3170731707317074)\n",
+            "Step 41: Win/lose count 6.0/2.0. Average score (-1.1904761904761905)\n",
+            "Step 42: Win/lose count 6.5/12.0. Average score (-1.2906976744186047)\n",
+            "Step 43: Win/lose count 1.5/7.0. Average score (-1.3863636363636365)\n",
+            "Step 44: Win/lose count 5.0/4.0. Average score (-1.3333333333333333)\n",
+            "Step 45: Win/lose count 4.0/6.0. Average score (-1.3478260869565217)\n",
+            "Step 46: Win/lose count 5.0/3.0. Average score (-1.2765957446808511)\n",
+            "Step 47: Win/lose count 3.0/4.0. Average score (-1.2708333333333333)\n",
+            "Step 48: Win/lose count 2.0/1.0. Average score (-1.2244897959183674)\n",
+            "Step 49: Win/lose count 8.0/8.0. Average score (-1.2)\n",
+            "Step 50: Win/lose count 1.5/6.0. Average score (-1.2647058823529411)\n",
+            "Step 51: Win/lose count 3.5/4.0. Average score (-1.25)\n",
+            "Step 52: Win/lose count 3.5/3.0. Average score (-1.2169811320754718)\n",
+            "Step 53: Win/lose count 3.0/10.0. Average score (-1.3240740740740742)\n",
+            "Step 54: Win/lose count 1.0/2.0. Average score (-1.3181818181818181)\n",
+            "Step 55: Win/lose count 3.5/8.0. Average score (-1.375)\n",
+            "Step 56: Win/lose count 1.0/6.0. Average score (-1.4385964912280702)\n",
+            "Step 57: Win/lose count 2.0/11.0. Average score (-1.5689655172413792)\n",
+            "Step 58: Win/lose count 3.5/2.0. Average score (-1.5169491525423728)\n",
+            "Step 59: Win/lose count 1.0/5.0. Average score (-1.5583333333333333)\n",
+            "Step 60: Win/lose count 0.5/5.0. Average score (-1.6065573770491803)\n",
+            "Step 61: Win/lose count 4.5/6.0. Average score (-1.6048387096774193)\n",
+            "Step 62: Win/lose count 6.0/2.0. Average score (-1.5158730158730158)\n",
+            "Step 63: Win/lose count 3.5/2.0. Average score (-1.46875)\n",
+            "Step 64: Win/lose count 1.0/0. Average score (-1.4307692307692308)\n",
+            "Step 65: Win/lose count 1.5/7.0. Average score (-1.4924242424242424)\n",
+            "Step 66: Win/lose count 3.5/1.0. Average score (-1.4328358208955223)\n",
+            "Step 67: Win/lose count 3.0/3.0. Average score (-1.411764705882353)\n",
+            "Step 68: Win/lose count 2.0/5.0. Average score (-1.434782608695652)\n",
+            "Step 69: Win/lose count 6.0/3.0. Average score (-1.3714285714285714)\n",
+            "Step 70: Win/lose count 3.5/7.0. Average score (-1.4014084507042253)\n",
+            "Step 71: Win/lose count 1.5/6.0. Average score (-1.4444444444444444)\n",
+            "Step 72: Win/lose count 5.0/5.0. Average score (-1.4246575342465753)\n",
+            "Step 73: Win/lose count 7.0/6.0. Average score (-1.3918918918918919)\n",
+            "Step 74: Win/lose count 4.0/8.0. Average score (-1.4266666666666667)\n",
+            "Step 75: Win/lose count 1.5/4.0. Average score (-1.4407894736842106)\n",
+            "Step 76: Win/lose count 4.5/9.0. Average score (-1.4805194805194806)\n",
+            "Step 77: Win/lose count 5.0/11.0. Average score (-1.5384615384615385)\n",
+            "Step 78: Win/lose count 2.5/8.0. Average score (-1.5886075949367089)\n",
+            "Step 79: Win/lose count 3.5/7.0. Average score (-1.6125)\n",
+            "Step 80: Win/lose count 4.0/7.0. Average score (-1.6296296296296295)\n",
+            "Step 81: Win/lose count 3.0/3.0. Average score (-1.6097560975609757)\n",
+            "Step 82: Win/lose count 2.0/3.0. Average score (-1.6024096385542168)\n",
+            "Step 83: Win/lose count 2.5/3.0. Average score (-1.5892857142857142)\n",
+            "Step 84: Win/lose count 2.0/1.0. Average score (-1.5588235294117647)\n",
+            "Step 85: Win/lose count 9.0/9.0. Average score (-1.5406976744186047)\n",
+            "Step 86: Win/lose count 3.5/9.0. Average score (-1.5862068965517242)\n",
+            "Step 87: Win/lose count 5.0/5.0. Average score (-1.5681818181818181)\n",
+            "Step 88: Win/lose count 3.0/7.0. Average score (-1.595505617977528)\n",
+            "Step 89: Win/lose count 3.5/0. Average score (-1.538888888888889)\n",
+            "Step 90: Win/lose count 5.0/6.0. Average score (-1.532967032967033)\n",
+            "Step 91: Win/lose count 3.5/8.0. Average score (-1.565217391304348)\n",
+            "Step 92: Win/lose count 4.0/2.0. Average score (-1.5268817204301075)\n",
+            "Step 93: Win/lose count 2.5/9.0. Average score (-1.5797872340425532)\n",
+            "Step 94: Win/lose count 1.5/5.0. Average score (-1.6)\n",
+            "Step 95: Win/lose count 3.5/2.0. Average score (-1.5677083333333333)\n",
+            "Step 96: Win/lose count 2.0/5.0. Average score (-1.5824742268041236)\n",
+            "Step 97: Win/lose count 3.0/1.0. Average score (-1.5459183673469388)\n",
+            "Step 98: Win/lose count 1.0/2.0. Average score (-1.5404040404040404)\n",
+            "Step 99: Win/lose count 2.5/2.0. Average score (-1.52)\n",
+            "Step 100: Win/lose count 3.0/7.0. Average score (-1.5445544554455446)\n",
+            "Final score: -1.56\n",
+            "=========================================================\n",
+            "Model n°6\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 4.0/6.0. Average score (-1.0)\n",
+            "Step 2: Win/lose count 5.0/1.0. Average score (0.6666666666666666)\n",
+            "Step 3: Win/lose count 4.5/4.0. Average score (0.625)\n",
+            "Step 4: Win/lose count 3.5/2.0. Average score (0.8)\n",
+            "Step 5: Win/lose count 6.0/0. Average score (1.6666666666666667)\n",
+            "Step 6: Win/lose count 4.0/3.0. Average score (1.5714285714285714)\n",
+            "Step 7: Win/lose count 3.0/2.0. Average score (1.5)\n",
+            "Step 8: Win/lose count 8.5/2.0. Average score (2.0555555555555554)\n",
+            "Step 9: Win/lose count 3.0/3.0. Average score (1.85)\n",
+            "Step 10: Win/lose count 4.5/3.0. Average score (1.8181818181818181)\n",
+            "Step 11: Win/lose count 8.5/3.0. Average score (2.125)\n",
+            "Step 12: Win/lose count 3.5/3.0. Average score (2.0)\n",
+            "Step 13: Win/lose count 6.5/2.0. Average score (2.1785714285714284)\n",
+            "Step 14: Win/lose count 6.0/4.0. Average score (2.1666666666666665)\n",
+            "Step 15: Win/lose count 5.0/1.0. Average score (2.28125)\n",
+            "Step 16: Win/lose count 5.5/1.0. Average score (2.411764705882353)\n",
+            "Step 17: Win/lose count 5.5/1.0. Average score (2.5277777777777777)\n",
+            "Step 18: Win/lose count 6.5/2.0. Average score (2.6315789473684212)\n",
+            "Step 19: Win/lose count 3.5/1.0. Average score (2.625)\n",
+            "Step 20: Win/lose count 4.0/2.0. Average score (2.5952380952380953)\n",
+            "Step 21: Win/lose count 6.0/2.0. Average score (2.659090909090909)\n",
+            "Step 22: Win/lose count 3.5/3.0. Average score (2.5652173913043477)\n",
+            "Step 23: Win/lose count 3.0/4.0. Average score (2.4166666666666665)\n",
+            "Step 24: Win/lose count 6.5/4.0. Average score (2.42)\n",
+            "Step 25: Win/lose count 7.0/2.0. Average score (2.519230769230769)\n",
+            "Step 26: Win/lose count 6.5/1.0. Average score (2.6296296296296298)\n",
+            "Step 27: Win/lose count 2.5/3.0. Average score (2.517857142857143)\n",
+            "Step 28: Win/lose count 9.0/5.0. Average score (2.5689655172413794)\n",
+            "Step 29: Win/lose count 3.5/3.0. Average score (2.5)\n",
+            "Step 30: Win/lose count 2.0/0. Average score (2.4838709677419355)\n",
+            "Step 31: Win/lose count 3.5/1.0. Average score (2.484375)\n",
+            "Step 32: Win/lose count 7.0/0. Average score (2.621212121212121)\n",
+            "Step 33: Win/lose count 2.0/3.0. Average score (2.514705882352941)\n",
+            "Step 34: Win/lose count 1.0/0. Average score (2.4714285714285715)\n",
+            "Step 35: Win/lose count 3.5/3.0. Average score (2.4166666666666665)\n",
+            "Step 36: Win/lose count 4.5/4.0. Average score (2.364864864864865)\n",
+            "Step 37: Win/lose count 4.5/3.0. Average score (2.3421052631578947)\n",
+            "Step 38: Win/lose count 4.5/7.0. Average score (2.217948717948718)\n",
+            "Step 39: Win/lose count 4.5/1.0. Average score (2.25)\n",
+            "Step 40: Win/lose count 8.0/0. Average score (2.3902439024390243)\n",
+            "Step 41: Win/lose count 8.5/3.0. Average score (2.4642857142857144)\n",
+            "Step 42: Win/lose count 3.0/4.0. Average score (2.383720930232558)\n",
+            "Step 43: Win/lose count 2.5/1.0. Average score (2.3636363636363638)\n",
+            "Step 44: Win/lose count 4.5/6.0. Average score (2.2777777777777777)\n",
+            "Step 45: Win/lose count 9.0/3.0. Average score (2.358695652173913)\n",
+            "Step 46: Win/lose count 5.0/3.0. Average score (2.351063829787234)\n",
+            "Step 47: Win/lose count 7.5/0. Average score (2.4583333333333335)\n",
+            "Step 48: Win/lose count 6.0/4.0. Average score (2.4489795918367347)\n",
+            "Step 49: Win/lose count 10.0/3.0. Average score (2.54)\n",
+            "Step 50: Win/lose count 6.5/3.0. Average score (2.5588235294117645)\n",
+            "Step 51: Win/lose count 6.5/1.0. Average score (2.6153846153846154)\n",
+            "Step 52: Win/lose count 3.5/3.0. Average score (2.5754716981132075)\n",
+            "Step 53: Win/lose count 3.5/1.0. Average score (2.574074074074074)\n",
+            "Step 54: Win/lose count 14.5/2.0. Average score (2.7545454545454544)\n",
+            "Step 55: Win/lose count 8.5/3.0. Average score (2.8035714285714284)\n",
+            "Step 56: Win/lose count 2.5/5.0. Average score (2.710526315789474)\n",
+            "Step 57: Win/lose count 6.5/4.0. Average score (2.706896551724138)\n",
+            "Step 58: Win/lose count 1.0/1.0. Average score (2.6610169491525424)\n",
+            "Step 59: Win/lose count 1.5/1.0. Average score (2.625)\n",
+            "Step 60: Win/lose count 10.0/1.0. Average score (2.7295081967213113)\n",
+            "Step 61: Win/lose count 7.5/2.0. Average score (2.774193548387097)\n",
+            "Step 62: Win/lose count 12.0/1.0. Average score (2.9047619047619047)\n",
+            "Step 63: Win/lose count 9.0/4.0. Average score (2.9375)\n",
+            "Step 64: Win/lose count 9.0/4.0. Average score (2.9692307692307693)\n",
+            "Step 65: Win/lose count 5.0/0. Average score (3.0)\n",
+            "Step 66: Win/lose count 7.5/4.0. Average score (3.0074626865671643)\n",
+            "Step 67: Win/lose count 3.5/2.0. Average score (2.985294117647059)\n",
+            "Step 68: Win/lose count 6.0/2.0. Average score (3.0)\n",
+            "Step 69: Win/lose count 7.5/2.0. Average score (3.0357142857142856)\n",
+            "Step 70: Win/lose count 2.5/2.0. Average score (3.0)\n",
+            "Step 71: Win/lose count 7.5/4.0. Average score (3.0069444444444446)\n",
+            "Step 72: Win/lose count 5.5/2.0. Average score (3.0136986301369864)\n",
+            "Step 73: Win/lose count 4.5/5.0. Average score (2.9662162162162162)\n",
+            "Step 74: Win/lose count 3.5/4.0. Average score (2.92)\n",
+            "Step 75: Win/lose count 10.0/6.0. Average score (2.9342105263157894)\n",
+            "Step 76: Win/lose count 8.0/2.0. Average score (2.9740259740259742)\n",
+            "Step 77: Win/lose count 2.5/3.0. Average score (2.9294871794871793)\n",
+            "Step 78: Win/lose count 9.0/2.0. Average score (2.981012658227848)\n",
+            "Step 79: Win/lose count 10.5/2.0. Average score (3.05)\n",
+            "Step 80: Win/lose count 11.0/6.0. Average score (3.074074074074074)\n",
+            "Step 81: Win/lose count 12.0/4.0. Average score (3.1341463414634148)\n",
+            "Step 82: Win/lose count 8.5/2.0. Average score (3.174698795180723)\n",
+            "Step 83: Win/lose count 4.5/4.0. Average score (3.142857142857143)\n",
+            "Step 84: Win/lose count 4.5/7.0. Average score (3.0764705882352943)\n",
+            "Step 85: Win/lose count 6.0/3.0. Average score (3.0755813953488373)\n",
+            "Step 86: Win/lose count 4.5/6.0. Average score (3.0229885057471266)\n",
+            "Step 87: Win/lose count 10.0/0. Average score (3.102272727272727)\n",
+            "Step 88: Win/lose count 6.0/0. Average score (3.134831460674157)\n",
+            "Step 89: Win/lose count 6.5/4.0. Average score (3.1277777777777778)\n",
+            "Step 90: Win/lose count 4.0/0. Average score (3.1373626373626373)\n",
+            "Step 91: Win/lose count 5.5/0. Average score (3.1630434782608696)\n",
+            "Step 92: Win/lose count 7.0/5.0. Average score (3.150537634408602)\n",
+            "Step 93: Win/lose count 2.0/1.0. Average score (3.127659574468085)\n",
+            "Step 94: Win/lose count 8.0/6.0. Average score (3.1157894736842104)\n",
+            "Step 95: Win/lose count 7.0/2.0. Average score (3.1354166666666665)\n",
+            "Step 96: Win/lose count 5.0/4.0. Average score (3.11340206185567)\n",
+            "Step 97: Win/lose count 3.0/5.0. Average score (3.061224489795918)\n",
+            "Step 98: Win/lose count 5.5/1.0. Average score (3.0757575757575757)\n",
+            "Step 99: Win/lose count 4.0/4.0. Average score (3.045)\n",
+            "Step 100: Win/lose count 9.5/4.0. Average score (3.0693069306930694)\n",
+            "Final score: 3.1\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 6.5/5.0. Average score (0.75)\n",
+            "Step 2: Win/lose count 2.0/0. Average score (1.1666666666666667)\n",
+            "Step 3: Win/lose count 8.0/1.0. Average score (2.625)\n",
+            "Step 4: Win/lose count 5.0/3.0. Average score (2.5)\n",
+            "Step 5: Win/lose count 6.5/1.0. Average score (3.0)\n",
+            "Step 6: Win/lose count 5.5/4.0. Average score (2.7857142857142856)\n",
+            "Step 7: Win/lose count 7.0/4.0. Average score (2.8125)\n",
+            "Step 8: Win/lose count 3.0/4.0. Average score (2.388888888888889)\n",
+            "Step 9: Win/lose count 3.5/3.0. Average score (2.2)\n",
+            "Step 10: Win/lose count 1.5/1.0. Average score (2.0454545454545454)\n",
+            "Step 11: Win/lose count 4.5/2.0. Average score (2.0833333333333335)\n",
+            "Step 12: Win/lose count 3.5/5.0. Average score (1.8076923076923077)\n",
+            "Step 13: Win/lose count 6.5/0. Average score (2.142857142857143)\n",
+            "Step 14: Win/lose count 4.0/1.0. Average score (2.2)\n",
+            "Step 15: Win/lose count 5.0/2.0. Average score (2.25)\n",
+            "Step 16: Win/lose count 4.5/5.0. Average score (2.088235294117647)\n",
+            "Step 17: Win/lose count 1.0/2.0. Average score (1.9166666666666667)\n",
+            "Step 18: Win/lose count 2.5/2.0. Average score (1.8421052631578947)\n",
+            "Step 19: Win/lose count 3.0/1.0. Average score (1.85)\n",
+            "Step 20: Win/lose count 10.5/1.0. Average score (2.2142857142857144)\n",
+            "Step 21: Win/lose count 5.0/2.0. Average score (2.25)\n",
+            "Step 22: Win/lose count 4.5/5.0. Average score (2.130434782608696)\n",
+            "Step 23: Win/lose count 0.5/1.0. Average score (2.0208333333333335)\n",
+            "Step 24: Win/lose count 5.0/5.0. Average score (1.94)\n",
+            "Step 25: Win/lose count 3.5/3.0. Average score (1.8846153846153846)\n",
+            "Step 26: Win/lose count 4.0/1.0. Average score (1.9259259259259258)\n",
+            "Step 27: Win/lose count 5.0/0. Average score (2.0357142857142856)\n",
+            "Step 28: Win/lose count 6.5/1.0. Average score (2.1551724137931036)\n",
+            "Step 29: Win/lose count 5.5/1.0. Average score (2.2333333333333334)\n",
+            "Step 30: Win/lose count 3.5/7.0. Average score (2.0483870967741935)\n",
+            "Step 31: Win/lose count 4.0/1.0. Average score (2.078125)\n",
+            "Step 32: Win/lose count 2.0/0. Average score (2.0757575757575757)\n",
+            "Step 33: Win/lose count 2.5/2.0. Average score (2.0294117647058822)\n",
+            "Step 34: Win/lose count 5.5/0. Average score (2.1285714285714286)\n",
+            "Step 35: Win/lose count 4.5/3.0. Average score (2.111111111111111)\n",
+            "Step 36: Win/lose count 3.5/4.0. Average score (2.0405405405405403)\n",
+            "Step 37: Win/lose count 3.5/4.0. Average score (1.9736842105263157)\n",
+            "Step 38: Win/lose count 3.0/3.0. Average score (1.9230769230769231)\n",
+            "Step 39: Win/lose count 6.5/4.0. Average score (1.9375)\n",
+            "Step 40: Win/lose count 4.5/3.0. Average score (1.9268292682926829)\n",
+            "Step 41: Win/lose count 2.0/1.0. Average score (1.9047619047619047)\n",
+            "Step 42: Win/lose count 3.0/2.0. Average score (1.8837209302325582)\n",
+            "Step 43: Win/lose count 6.5/2.0. Average score (1.9431818181818181)\n",
+            "Step 44: Win/lose count 4.5/5.0. Average score (1.8888888888888888)\n",
+            "Step 45: Win/lose count 2.5/4.0. Average score (1.815217391304348)\n",
+            "Step 46: Win/lose count 4.0/8.0. Average score (1.6914893617021276)\n",
+            "Step 47: Win/lose count 9.0/4.0. Average score (1.7604166666666667)\n",
+            "Step 48: Win/lose count 2.5/1.0. Average score (1.7551020408163265)\n",
+            "Step 49: Win/lose count 8.0/1.0. Average score (1.86)\n",
+            "Step 50: Win/lose count 6.0/0. Average score (1.9411764705882353)\n",
+            "Step 51: Win/lose count 4.0/5.0. Average score (1.8846153846153846)\n",
+            "Step 52: Win/lose count 3.0/2.0. Average score (1.8679245283018868)\n",
+            "Step 53: Win/lose count 3.5/2.0. Average score (1.8611111111111112)\n",
+            "Step 54: Win/lose count 5.0/5.0. Average score (1.8272727272727274)\n",
+            "Step 55: Win/lose count 4.0/0. Average score (1.8660714285714286)\n",
+            "Step 56: Win/lose count 3.0/0. Average score (1.8859649122807018)\n",
+            "Step 57: Win/lose count 5.0/7.0. Average score (1.8189655172413792)\n",
+            "Step 58: Win/lose count 5.0/4.0. Average score (1.805084745762712)\n",
+            "Step 59: Win/lose count 7.0/1.0. Average score (1.875)\n",
+            "Step 60: Win/lose count 7.5/2.0. Average score (1.9344262295081966)\n",
+            "Step 61: Win/lose count 4.5/0. Average score (1.9758064516129032)\n",
+            "Step 62: Win/lose count 5.5/5.0. Average score (1.9523809523809523)\n",
+            "Step 63: Win/lose count 5.5/8.0. Average score (1.8828125)\n",
+            "Step 64: Win/lose count 5.5/5.0. Average score (1.8615384615384616)\n",
+            "Step 65: Win/lose count 1.0/1.0. Average score (1.8333333333333333)\n",
+            "Step 66: Win/lose count 5.0/1.0. Average score (1.8656716417910448)\n",
+            "Step 67: Win/lose count 1.5/1.0. Average score (1.8455882352941178)\n",
+            "Step 68: Win/lose count 3.5/4.0. Average score (1.8115942028985508)\n",
+            "Step 69: Win/lose count 5.5/0. Average score (1.8642857142857143)\n",
+            "Step 70: Win/lose count 3.0/4.0. Average score (1.823943661971831)\n",
+            "Step 71: Win/lose count 1.0/4.0. Average score (1.7569444444444444)\n",
+            "Step 72: Win/lose count 2.5/5.0. Average score (1.6986301369863013)\n",
+            "Step 73: Win/lose count 4.5/4.0. Average score (1.6824324324324325)\n",
+            "Step 74: Win/lose count 7.5/3.0. Average score (1.72)\n",
+            "Step 75: Win/lose count 4.0/2.0. Average score (1.7236842105263157)\n",
+            "Step 76: Win/lose count 4.0/0. Average score (1.7532467532467533)\n",
+            "Step 77: Win/lose count 6.5/2.0. Average score (1.7884615384615385)\n",
+            "Step 78: Win/lose count 3.0/4.0. Average score (1.7531645569620253)\n",
+            "Step 79: Win/lose count 4.0/6.0. Average score (1.70625)\n",
+            "Step 80: Win/lose count 5.5/4.0. Average score (1.7037037037037037)\n",
+            "Step 81: Win/lose count 4.0/1.0. Average score (1.7195121951219512)\n",
+            "Step 82: Win/lose count 3.5/5.0. Average score (1.680722891566265)\n",
+            "Step 83: Win/lose count 1.5/2.0. Average score (1.6547619047619047)\n",
+            "Step 84: Win/lose count 5.0/1.0. Average score (1.6823529411764706)\n",
+            "Step 85: Win/lose count 2.5/2.0. Average score (1.6686046511627908)\n",
+            "Step 86: Win/lose count 6.0/4.0. Average score (1.6724137931034482)\n",
+            "Step 87: Win/lose count 4.0/5.0. Average score (1.6420454545454546)\n",
+            "Step 88: Win/lose count 5.0/6.0. Average score (1.6123595505617978)\n",
+            "Step 89: Win/lose count 7.5/1.0. Average score (1.6666666666666667)\n",
+            "Step 90: Win/lose count 6.0/1.0. Average score (1.7032967032967032)\n",
+            "Step 91: Win/lose count 5.0/1.0. Average score (1.7282608695652173)\n",
+            "Step 92: Win/lose count 3.0/6.0. Average score (1.6774193548387097)\n",
+            "Step 93: Win/lose count 3.5/5.0. Average score (1.6436170212765957)\n",
+            "Step 94: Win/lose count 7.0/3.0. Average score (1.668421052631579)\n",
+            "Step 95: Win/lose count 4.5/7.0. Average score (1.625)\n",
+            "Step 96: Win/lose count 5.0/5.0. Average score (1.6082474226804124)\n",
+            "Step 97: Win/lose count 5.0/4.0. Average score (1.6020408163265305)\n",
+            "Step 98: Win/lose count 3.0/6.0. Average score (1.5555555555555556)\n",
+            "Step 99: Win/lose count 3.0/2.0. Average score (1.55)\n",
+            "Step 100: Win/lose count 6.0/4.0. Average score (1.5544554455445545)\n",
+            "Final score: 1.57\n",
+            "=========================================================\n",
+            "Model n°7\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 4.0/7.0. Average score (-1.5)\n",
+            "Step 2: Win/lose count 1.5/2.0. Average score (-1.1666666666666667)\n",
+            "Step 3: Win/lose count 0.5/1.0. Average score (-1.0)\n",
+            "Step 4: Win/lose count 3.5/2.0. Average score (-0.5)\n",
+            "Step 5: Win/lose count 4.5/2.0. Average score (0.0)\n",
+            "Step 6: Win/lose count 3.0/7.0. Average score (-0.5714285714285714)\n",
+            "Step 7: Win/lose count 4.5/2.0. Average score (-0.1875)\n",
+            "Step 8: Win/lose count 2.0/1.0. Average score (-0.05555555555555555)\n",
+            "Step 9: Win/lose count 4.0/3.0. Average score (0.05)\n",
+            "Step 10: Win/lose count 3.5/1.0. Average score (0.2727272727272727)\n",
+            "Step 11: Win/lose count 2.5/2.0. Average score (0.2916666666666667)\n",
+            "Step 12: Win/lose count 0.5/4.0. Average score (0.0)\n",
+            "Step 13: Win/lose count 4.0/7.0. Average score (-0.21428571428571427)\n",
+            "Step 14: Win/lose count 1.0/2.0. Average score (-0.26666666666666666)\n",
+            "Step 15: Win/lose count 3.0/2.0. Average score (-0.1875)\n",
+            "Step 16: Win/lose count 3.5/6.0. Average score (-0.3235294117647059)\n",
+            "Step 17: Win/lose count 4.5/5.0. Average score (-0.3333333333333333)\n",
+            "Step 18: Win/lose count 4.5/4.0. Average score (-0.2894736842105263)\n",
+            "Step 19: Win/lose count 4.5/3.0. Average score (-0.2)\n",
+            "Step 20: Win/lose count 4.0/1.0. Average score (-0.047619047619047616)\n",
+            "Step 21: Win/lose count 5.0/6.0. Average score (-0.09090909090909091)\n",
+            "Step 22: Win/lose count 2.5/3.0. Average score (-0.10869565217391304)\n",
+            "Step 23: Win/lose count 2.0/4.0. Average score (-0.1875)\n",
+            "Step 24: Win/lose count 4.5/3.0. Average score (-0.12)\n",
+            "Step 25: Win/lose count 4.0/2.0. Average score (-0.038461538461538464)\n",
+            "Step 26: Win/lose count 3.0/1.0. Average score (0.037037037037037035)\n",
+            "Step 27: Win/lose count 5.0/3.0. Average score (0.10714285714285714)\n",
+            "Step 28: Win/lose count 2.5/4.0. Average score (0.05172413793103448)\n",
+            "Step 29: Win/lose count 1.0/2.0. Average score (0.016666666666666666)\n",
+            "Step 30: Win/lose count 2.0/2.0. Average score (0.016129032258064516)\n",
+            "Step 31: Win/lose count 6.5/3.0. Average score (0.125)\n",
+            "Step 32: Win/lose count 6.0/2.0. Average score (0.24242424242424243)\n",
+            "Step 33: Win/lose count 2.5/2.0. Average score (0.25)\n",
+            "Step 34: Win/lose count 5.0/5.0. Average score (0.24285714285714285)\n",
+            "Step 35: Win/lose count 3.5/3.0. Average score (0.25)\n",
+            "Step 36: Win/lose count 3.0/0. Average score (0.32432432432432434)\n",
+            "Step 37: Win/lose count 6.0/1.0. Average score (0.4473684210526316)\n",
+            "Step 38: Win/lose count 4.0/1.0. Average score (0.5128205128205128)\n",
+            "Step 39: Win/lose count 3.0/1.0. Average score (0.55)\n",
+            "Step 40: Win/lose count 1.0/4.0. Average score (0.4634146341463415)\n",
+            "Step 41: Win/lose count 2.0/2.0. Average score (0.4523809523809524)\n",
+            "Step 42: Win/lose count 4.5/2.0. Average score (0.5)\n",
+            "Step 43: Win/lose count 3.5/1.0. Average score (0.5454545454545454)\n",
+            "Step 44: Win/lose count 4.0/2.0. Average score (0.5777777777777777)\n",
+            "Step 45: Win/lose count 0.5/2.0. Average score (0.532608695652174)\n",
+            "Step 46: Win/lose count 4.5/4.0. Average score (0.5319148936170213)\n",
+            "Step 47: Win/lose count 5.0/2.0. Average score (0.5833333333333334)\n",
+            "Step 48: Win/lose count 4.5/1.0. Average score (0.6428571428571429)\n",
+            "Step 49: Win/lose count 3.5/3.0. Average score (0.64)\n",
+            "Step 50: Win/lose count 3.5/1.0. Average score (0.6764705882352942)\n",
+            "Step 51: Win/lose count 2.0/3.0. Average score (0.6442307692307693)\n",
+            "Step 52: Win/lose count 2.5/4.0. Average score (0.6037735849056604)\n",
+            "Step 53: Win/lose count 4.0/1.0. Average score (0.6481481481481481)\n",
+            "Step 54: Win/lose count 1.5/3.0. Average score (0.6090909090909091)\n",
+            "Step 55: Win/lose count 3.5/4.0. Average score (0.5892857142857143)\n",
+            "Step 56: Win/lose count 5.0/2.0. Average score (0.631578947368421)\n",
+            "Step 57: Win/lose count 7.5/1.0. Average score (0.7327586206896551)\n",
+            "Step 58: Win/lose count 1.5/0. Average score (0.7457627118644068)\n",
+            "Step 59: Win/lose count 3.5/2.0. Average score (0.7583333333333333)\n",
+            "Step 60: Win/lose count 6.0/0. Average score (0.8442622950819673)\n",
+            "Step 61: Win/lose count 7.0/6.0. Average score (0.8467741935483871)\n",
+            "Step 62: Win/lose count 7.0/4.0. Average score (0.8809523809523809)\n",
+            "Step 63: Win/lose count 1.0/0. Average score (0.8828125)\n",
+            "Step 64: Win/lose count 5.0/1.0. Average score (0.9307692307692308)\n",
+            "Step 65: Win/lose count 5.0/3.0. Average score (0.946969696969697)\n",
+            "Step 66: Win/lose count 3.5/3.0. Average score (0.9402985074626866)\n",
+            "Step 67: Win/lose count 5.0/1.0. Average score (0.9852941176470589)\n",
+            "Step 68: Win/lose count 1.5/2.0. Average score (0.9637681159420289)\n",
+            "Step 69: Win/lose count 4.5/0. Average score (1.0142857142857142)\n",
+            "Step 70: Win/lose count 5.5/3.0. Average score (1.0352112676056338)\n",
+            "Step 71: Win/lose count 1.0/4.0. Average score (0.9791666666666666)\n",
+            "Step 72: Win/lose count 5.0/1.0. Average score (1.0205479452054795)\n",
+            "Step 73: Win/lose count 4.5/2.0. Average score (1.0405405405405406)\n",
+            "Step 74: Win/lose count 2.5/4.0. Average score (1.0066666666666666)\n",
+            "Step 75: Win/lose count 1.5/4.0. Average score (0.9605263157894737)\n",
+            "Step 76: Win/lose count 6.5/3.0. Average score (0.9935064935064936)\n",
+            "Step 77: Win/lose count 2.0/3.0. Average score (0.967948717948718)\n",
+            "Step 78: Win/lose count 3.5/5.0. Average score (0.9367088607594937)\n",
+            "Step 79: Win/lose count 4.5/2.0. Average score (0.95625)\n",
+            "Step 80: Win/lose count 7.0/4.0. Average score (0.9814814814814815)\n",
+            "Step 81: Win/lose count 4.5/0. Average score (1.024390243902439)\n",
+            "Step 82: Win/lose count 1.5/4.0. Average score (0.9819277108433735)\n",
+            "Step 83: Win/lose count 4.0/4.0. Average score (0.9702380952380952)\n",
+            "Step 84: Win/lose count 3.5/1.0. Average score (0.9882352941176471)\n",
+            "Step 85: Win/lose count 4.5/1.0. Average score (1.0174418604651163)\n",
+            "Step 86: Win/lose count 4.5/3.0. Average score (1.0229885057471264)\n",
+            "Step 87: Win/lose count 1.5/2.0. Average score (1.0056818181818181)\n",
+            "Step 88: Win/lose count 5.5/5.0. Average score (1.0)\n",
+            "Step 89: Win/lose count 5.0/1.0. Average score (1.0333333333333334)\n",
+            "Step 90: Win/lose count 4.0/1.0. Average score (1.054945054945055)\n",
+            "Step 91: Win/lose count 1.5/2.0. Average score (1.0380434782608696)\n",
+            "Step 92: Win/lose count 4.5/2.0. Average score (1.053763440860215)\n",
+            "Step 93: Win/lose count 1.5/4.0. Average score (1.0159574468085106)\n",
+            "Step 94: Win/lose count 3.5/3.0. Average score (1.0105263157894737)\n",
+            "Step 95: Win/lose count 3.5/3.0. Average score (1.0052083333333333)\n",
+            "Step 96: Win/lose count 1.0/1.0. Average score (0.9948453608247423)\n",
+            "Step 97: Win/lose count 2.5/3.0. Average score (0.9795918367346939)\n",
+            "Step 98: Win/lose count 1.0/3.0. Average score (0.9494949494949495)\n",
+            "Step 99: Win/lose count 4.0/5.0. Average score (0.93)\n",
+            "Step 100: Win/lose count 3.0/3.0. Average score (0.9207920792079208)\n",
+            "Final score: 0.93\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 4.5/4.0. Average score (0.25)\n",
+            "Step 2: Win/lose count 3.5/5.0. Average score (-0.3333333333333333)\n",
+            "Step 3: Win/lose count 3.0/2.0. Average score (0.0)\n",
+            "Step 4: Win/lose count 4.0/1.0. Average score (0.6)\n",
+            "Step 5: Win/lose count 3.0/2.0. Average score (0.6666666666666666)\n",
+            "Step 6: Win/lose count 2.5/2.0. Average score (0.6428571428571429)\n",
+            "Step 7: Win/lose count 1.5/2.0. Average score (0.5)\n",
+            "Step 8: Win/lose count 7.0/1.0. Average score (1.1111111111111112)\n",
+            "Step 9: Win/lose count 8.0/2.0. Average score (1.6)\n",
+            "Step 10: Win/lose count 9.5/6.0. Average score (1.7727272727272727)\n",
+            "Step 11: Win/lose count 4.0/2.0. Average score (1.7916666666666667)\n",
+            "Step 12: Win/lose count 3.5/1.0. Average score (1.8461538461538463)\n",
+            "Step 13: Win/lose count 6.0/6.0. Average score (1.7142857142857142)\n",
+            "Step 14: Win/lose count 6.0/3.0. Average score (1.8)\n",
+            "Step 15: Win/lose count 4.5/0. Average score (1.96875)\n",
+            "Step 16: Win/lose count 6.5/8.0. Average score (1.7647058823529411)\n",
+            "Step 17: Win/lose count 6.0/4.0. Average score (1.7777777777777777)\n",
+            "Step 18: Win/lose count 3.5/6.0. Average score (1.5526315789473684)\n",
+            "Step 19: Win/lose count 5.5/3.0. Average score (1.6)\n",
+            "Step 20: Win/lose count 3.0/4.0. Average score (1.4761904761904763)\n",
+            "Step 21: Win/lose count 6.5/2.0. Average score (1.6136363636363635)\n",
+            "Step 22: Win/lose count 7.0/2.0. Average score (1.7608695652173914)\n",
+            "Step 23: Win/lose count 8.0/8.0. Average score (1.6875)\n",
+            "Step 24: Win/lose count 5.0/5.0. Average score (1.62)\n",
+            "Step 25: Win/lose count 7.5/2.0. Average score (1.7692307692307692)\n",
+            "Step 26: Win/lose count 6.0/5.0. Average score (1.7407407407407407)\n",
+            "Step 27: Win/lose count 2.5/5.0. Average score (1.5892857142857142)\n",
+            "Step 28: Win/lose count 7.0/4.0. Average score (1.6379310344827587)\n",
+            "Step 29: Win/lose count 8.0/2.0. Average score (1.7833333333333334)\n",
+            "Step 30: Win/lose count 5.0/1.0. Average score (1.8548387096774193)\n",
+            "Step 31: Win/lose count 4.5/1.0. Average score (1.90625)\n",
+            "Step 32: Win/lose count 8.5/3.0. Average score (2.015151515151515)\n",
+            "Step 33: Win/lose count 2.5/2.0. Average score (1.9705882352941178)\n",
+            "Step 34: Win/lose count 2.5/2.0. Average score (1.9285714285714286)\n",
+            "Step 35: Win/lose count 5.0/0. Average score (2.013888888888889)\n",
+            "Step 36: Win/lose count 1.0/1.0. Average score (1.9594594594594594)\n",
+            "Step 37: Win/lose count 2.5/1.0. Average score (1.9473684210526316)\n",
+            "Step 38: Win/lose count 3.5/0. Average score (1.9871794871794872)\n",
+            "Step 39: Win/lose count 4.0/3.0. Average score (1.9625)\n",
+            "Step 40: Win/lose count 5.0/7.0. Average score (1.8658536585365855)\n",
+            "Step 41: Win/lose count 3.5/0. Average score (1.9047619047619047)\n",
+            "Step 42: Win/lose count 7.0/4.0. Average score (1.930232558139535)\n",
+            "Step 43: Win/lose count 9.5/0. Average score (2.102272727272727)\n",
+            "Step 44: Win/lose count 4.5/2.0. Average score (2.111111111111111)\n",
+            "Step 45: Win/lose count 8.5/1.0. Average score (2.2282608695652173)\n",
+            "Step 46: Win/lose count 3.5/3.0. Average score (2.1914893617021276)\n",
+            "Step 47: Win/lose count 7.0/4.0. Average score (2.2083333333333335)\n",
+            "Step 48: Win/lose count 5.0/3.0. Average score (2.204081632653061)\n",
+            "Step 49: Win/lose count 5.5/6.0. Average score (2.15)\n",
+            "Step 50: Win/lose count 5.0/1.0. Average score (2.1862745098039214)\n",
+            "Step 51: Win/lose count 3.0/1.0. Average score (2.1826923076923075)\n",
+            "Step 52: Win/lose count 7.5/2.0. Average score (2.2452830188679247)\n",
+            "Step 53: Win/lose count 3.5/2.0. Average score (2.2314814814814814)\n",
+            "Step 54: Win/lose count 5.0/4.0. Average score (2.209090909090909)\n",
+            "Step 55: Win/lose count 4.5/3.0. Average score (2.1964285714285716)\n",
+            "Step 56: Win/lose count 8.0/3.0. Average score (2.245614035087719)\n",
+            "Step 57: Win/lose count 3.0/3.0. Average score (2.206896551724138)\n",
+            "Step 58: Win/lose count 7.5/2.0. Average score (2.26271186440678)\n",
+            "Step 59: Win/lose count 2.0/6.0. Average score (2.158333333333333)\n",
+            "Step 60: Win/lose count 2.0/6.0. Average score (2.057377049180328)\n",
+            "Step 61: Win/lose count 5.5/5.0. Average score (2.032258064516129)\n",
+            "Step 62: Win/lose count 4.5/1.0. Average score (2.0555555555555554)\n",
+            "Step 63: Win/lose count 6.0/6.0. Average score (2.0234375)\n",
+            "Step 64: Win/lose count 3.5/0. Average score (2.046153846153846)\n",
+            "Step 65: Win/lose count 1.0/3.0. Average score (1.9848484848484849)\n",
+            "Step 66: Win/lose count 6.0/1.0. Average score (2.029850746268657)\n",
+            "Step 67: Win/lose count 3.0/3.0. Average score (2.0)\n",
+            "Step 68: Win/lose count 6.0/3.0. Average score (2.0144927536231885)\n",
+            "Step 69: Win/lose count 4.5/3.0. Average score (2.007142857142857)\n",
+            "Step 70: Win/lose count 1.0/4.0. Average score (1.9366197183098592)\n",
+            "Step 71: Win/lose count 6.0/4.0. Average score (1.9375)\n",
+            "Step 72: Win/lose count 6.0/8.0. Average score (1.8835616438356164)\n",
+            "Step 73: Win/lose count 4.0/5.0. Average score (1.8445945945945945)\n",
+            "Step 74: Win/lose count 6.0/4.0. Average score (1.8466666666666667)\n",
+            "Step 75: Win/lose count 5.0/5.0. Average score (1.8223684210526316)\n",
+            "Step 76: Win/lose count 3.5/2.0. Average score (1.8181818181818181)\n",
+            "Step 77: Win/lose count 5.0/1.0. Average score (1.8461538461538463)\n",
+            "Step 78: Win/lose count 4.5/5.0. Average score (1.8164556962025316)\n",
+            "Step 79: Win/lose count 5.0/4.0. Average score (1.80625)\n",
+            "Step 80: Win/lose count 6.0/5.0. Average score (1.7962962962962963)\n",
+            "Step 81: Win/lose count 5.0/5.0. Average score (1.774390243902439)\n",
+            "Step 82: Win/lose count 4.5/3.0. Average score (1.7710843373493976)\n",
+            "Step 83: Win/lose count 3.0/3.0. Average score (1.75)\n",
+            "Step 84: Win/lose count 3.0/3.0. Average score (1.7294117647058824)\n",
+            "Step 85: Win/lose count 7.0/2.0. Average score (1.7674418604651163)\n",
+            "Step 86: Win/lose count 9.5/5.0. Average score (1.7988505747126438)\n",
+            "Step 87: Win/lose count 3.5/1.0. Average score (1.8068181818181819)\n",
+            "Step 88: Win/lose count 4.5/4.0. Average score (1.7921348314606742)\n",
+            "Step 89: Win/lose count 6.0/4.0. Average score (1.7944444444444445)\n",
+            "Step 90: Win/lose count 5.0/2.0. Average score (1.8076923076923077)\n",
+            "Step 91: Win/lose count 7.0/3.0. Average score (1.8315217391304348)\n",
+            "Step 92: Win/lose count 4.0/1.0. Average score (1.8440860215053763)\n",
+            "Step 93: Win/lose count 5.5/1.0. Average score (1.872340425531915)\n",
+            "Step 94: Win/lose count 6.0/10.0. Average score (1.8105263157894738)\n",
+            "Step 95: Win/lose count 4.5/1.0. Average score (1.828125)\n",
+            "Step 96: Win/lose count 11.0/7.0. Average score (1.8505154639175259)\n",
+            "Step 97: Win/lose count 2.5/1.0. Average score (1.846938775510204)\n",
+            "Step 98: Win/lose count 4.5/5.0. Average score (1.8232323232323233)\n",
+            "Step 99: Win/lose count 9.5/4.0. Average score (1.86)\n",
+            "Step 100: Win/lose count 5.5/0. Average score (1.896039603960396)\n",
+            "Final score: 1.915\n",
+            "=========================================================\n",
+            "Model n°8\n",
+            "Test of the CNN\n",
+            "Step 1: Win/lose count 3.0/4.0. Average score (-0.5)\n",
+            "Step 2: Win/lose count 6.5/3.0. Average score (0.8333333333333334)\n",
+            "Step 3: Win/lose count 5.5/7.0. Average score (0.25)\n",
+            "Step 4: Win/lose count 4.5/3.0. Average score (0.5)\n",
+            "Step 5: Win/lose count 2.5/1.0. Average score (0.6666666666666666)\n",
+            "Step 6: Win/lose count 2.5/3.0. Average score (0.5)\n",
+            "Step 7: Win/lose count 4.5/1.0. Average score (0.875)\n",
+            "Step 8: Win/lose count 4.0/0. Average score (1.2222222222222223)\n",
+            "Step 9: Win/lose count 3.5/1.0. Average score (1.35)\n",
+            "Step 10: Win/lose count 2.5/2.0. Average score (1.2727272727272727)\n",
+            "Step 11: Win/lose count 8.0/4.0. Average score (1.5)\n",
+            "Step 12: Win/lose count 2.5/3.0. Average score (1.3461538461538463)\n",
+            "Step 13: Win/lose count 6.0/0. Average score (1.6785714285714286)\n",
+            "Step 14: Win/lose count 4.0/2.0. Average score (1.7)\n",
+            "Step 15: Win/lose count 2.5/1.0. Average score (1.6875)\n",
+            "Step 16: Win/lose count 2.5/4.0. Average score (1.5)\n",
+            "Step 17: Win/lose count 4.0/3.0. Average score (1.4722222222222223)\n",
+            "Step 18: Win/lose count 3.5/0. Average score (1.5789473684210527)\n",
+            "Step 19: Win/lose count 2.0/1.0. Average score (1.55)\n",
+            "Step 20: Win/lose count 7.5/2.0. Average score (1.7380952380952381)\n",
+            "Step 21: Win/lose count 1.5/0. Average score (1.7272727272727273)\n",
+            "Step 22: Win/lose count 1.5/1.0. Average score (1.673913043478261)\n",
+            "Step 23: Win/lose count 4.5/1.0. Average score (1.75)\n",
+            "Step 24: Win/lose count 4.5/2.0. Average score (1.78)\n",
+            "Step 25: Win/lose count 5.0/2.0. Average score (1.8269230769230769)\n",
+            "Step 26: Win/lose count 3.0/3.0. Average score (1.7592592592592593)\n",
+            "Step 27: Win/lose count 4.5/1.0. Average score (1.8214285714285714)\n",
+            "Step 28: Win/lose count 8.0/1.0. Average score (2.0)\n",
+            "Step 29: Win/lose count 5.5/2.0. Average score (2.05)\n",
+            "Step 30: Win/lose count 5.0/1.0. Average score (2.1129032258064515)\n",
+            "Step 31: Win/lose count 3.0/1.0. Average score (2.109375)\n",
+            "Step 32: Win/lose count 5.5/2.0. Average score (2.1515151515151514)\n",
+            "Step 33: Win/lose count 3.5/1.0. Average score (2.161764705882353)\n",
+            "Step 34: Win/lose count 2.0/4.0. Average score (2.0428571428571427)\n",
+            "Step 35: Win/lose count 5.5/3.0. Average score (2.0555555555555554)\n",
+            "Step 36: Win/lose count 6.5/3.0. Average score (2.0945945945945947)\n",
+            "Step 37: Win/lose count 4.0/3.0. Average score (2.0657894736842106)\n",
+            "Step 38: Win/lose count 7.0/1.0. Average score (2.1666666666666665)\n",
+            "Step 39: Win/lose count 0.5/2.0. Average score (2.075)\n",
+            "Step 40: Win/lose count 3.0/3.0. Average score (2.024390243902439)\n",
+            "Step 41: Win/lose count 1.5/3.0. Average score (1.9404761904761905)\n",
+            "Step 42: Win/lose count 5.5/2.0. Average score (1.9767441860465116)\n",
+            "Step 43: Win/lose count 2.5/1.0. Average score (1.9659090909090908)\n",
+            "Step 44: Win/lose count 3.5/0. Average score (2.0)\n",
+            "Step 45: Win/lose count 2.5/1.0. Average score (1.9891304347826086)\n",
+            "Step 46: Win/lose count 6.0/6.0. Average score (1.946808510638298)\n",
+            "Step 47: Win/lose count 5.0/1.0. Average score (1.9895833333333333)\n",
+            "Step 48: Win/lose count 3.0/0. Average score (2.010204081632653)\n",
+            "Step 49: Win/lose count 4.5/3.0. Average score (2.0)\n",
+            "Step 50: Win/lose count 5.5/2.0. Average score (2.0294117647058822)\n",
+            "Step 51: Win/lose count 2.0/4.0. Average score (1.9519230769230769)\n",
+            "Step 52: Win/lose count 5.5/4.0. Average score (1.9433962264150944)\n",
+            "Step 53: Win/lose count 2.5/3.0. Average score (1.8981481481481481)\n",
+            "Step 54: Win/lose count 2.5/3.0. Average score (1.8545454545454545)\n",
+            "Step 55: Win/lose count 2.5/3.0. Average score (1.8125)\n",
+            "Step 56: Win/lose count 2.5/5.0. Average score (1.736842105263158)\n",
+            "Step 57: Win/lose count 3.5/7.0. Average score (1.646551724137931)\n",
+            "Step 58: Win/lose count 5.0/1.0. Average score (1.6864406779661016)\n",
+            "Step 59: Win/lose count 2.5/5.0. Average score (1.6166666666666667)\n",
+            "Step 60: Win/lose count 3.5/2.0. Average score (1.6147540983606556)\n",
+            "Step 61: Win/lose count 6.0/5.0. Average score (1.6048387096774193)\n",
+            "Step 62: Win/lose count 6.0/5.0. Average score (1.5952380952380953)\n",
+            "Step 63: Win/lose count 4.0/3.0. Average score (1.5859375)\n",
+            "Step 64: Win/lose count 6.0/3.0. Average score (1.6076923076923078)\n",
+            "Step 65: Win/lose count 2.0/0. Average score (1.6136363636363635)\n",
+            "Step 66: Win/lose count 3.5/2.0. Average score (1.6119402985074627)\n",
+            "Step 67: Win/lose count 1.5/2.0. Average score (1.5808823529411764)\n",
+            "Step 68: Win/lose count 5.5/1.0. Average score (1.6231884057971016)\n",
+            "Step 69: Win/lose count 2.0/2.0. Average score (1.6)\n",
+            "Step 70: Win/lose count 5.5/4.0. Average score (1.5985915492957747)\n",
+            "Step 71: Win/lose count 9.5/5.0. Average score (1.6388888888888888)\n",
+            "Step 72: Win/lose count 2.5/5.0. Average score (1.582191780821918)\n",
+            "Step 73: Win/lose count 4.0/0. Average score (1.614864864864865)\n",
+            "Step 74: Win/lose count 4.0/3.0. Average score (1.6066666666666667)\n",
+            "Step 75: Win/lose count 4.5/1.0. Average score (1.631578947368421)\n",
+            "Step 76: Win/lose count 7.0/1.0. Average score (1.6883116883116882)\n",
+            "Step 77: Win/lose count 2.5/5.0. Average score (1.6346153846153846)\n",
+            "Step 78: Win/lose count 4.5/1.0. Average score (1.6582278481012658)\n",
+            "Step 79: Win/lose count 2.5/4.0. Average score (1.61875)\n",
+            "Step 80: Win/lose count 4.0/3.0. Average score (1.6111111111111112)\n",
+            "Step 81: Win/lose count 4.5/4.0. Average score (1.5975609756097562)\n",
+            "Step 82: Win/lose count 8.0/2.0. Average score (1.6506024096385543)\n",
+            "Step 83: Win/lose count 3.5/1.0. Average score (1.6607142857142858)\n",
+            "Step 84: Win/lose count 0.5/3.0. Average score (1.611764705882353)\n",
+            "Step 85: Win/lose count 4.0/1.0. Average score (1.627906976744186)\n",
+            "Step 86: Win/lose count 4.0/5.0. Average score (1.5977011494252873)\n",
+            "Step 87: Win/lose count 1.5/2.0. Average score (1.5738636363636365)\n",
+            "Step 88: Win/lose count 4.0/4.0. Average score (1.5561797752808988)\n",
+            "Step 89: Win/lose count 4.5/3.0. Average score (1.5555555555555556)\n",
+            "Step 90: Win/lose count 7.0/6.0. Average score (1.5494505494505495)\n",
+            "Step 91: Win/lose count 5.0/0. Average score (1.5869565217391304)\n",
+            "Step 92: Win/lose count 5.0/4.0. Average score (1.5806451612903225)\n",
+            "Step 93: Win/lose count 2.0/0. Average score (1.5851063829787233)\n",
+            "Step 94: Win/lose count 0.5/0. Average score (1.5736842105263158)\n",
+            "Step 95: Win/lose count 5.5/3.0. Average score (1.5833333333333333)\n",
+            "Step 96: Win/lose count 1.5/3.0. Average score (1.5515463917525774)\n",
+            "Step 97: Win/lose count 1.5/1.0. Average score (1.5408163265306123)\n",
+            "Step 98: Win/lose count 1.5/2.0. Average score (1.52020202020202)\n",
+            "Step 99: Win/lose count 4.5/0. Average score (1.55)\n",
+            "Step 100: Win/lose count 3.0/0. Average score (1.5643564356435644)\n",
+            "Final score: 1.58\n",
+            "Test of the FC\n",
+            "Step 1: Win/lose count 4.0/4.0. Average score (0.0)\n",
+            "Step 2: Win/lose count 0.5/2.0. Average score (-0.5)\n",
+            "Step 3: Win/lose count 2.5/1.0. Average score (0.0)\n",
+            "Step 4: Win/lose count 5.5/5.0. Average score (0.1)\n",
+            "Step 5: Win/lose count 6.0/0. Average score (1.0833333333333333)\n",
+            "Step 6: Win/lose count 7.0/3.0. Average score (1.5)\n",
+            "Step 7: Win/lose count 8.0/3.0. Average score (1.9375)\n",
+            "Step 8: Win/lose count 1.5/0. Average score (1.8888888888888888)\n",
+            "Step 9: Win/lose count 2.0/1.0. Average score (1.8)\n",
+            "Step 10: Win/lose count 7.5/3.0. Average score (2.0454545454545454)\n",
+            "Step 11: Win/lose count 8.0/1.0. Average score (2.4583333333333335)\n",
+            "Step 12: Win/lose count 8.5/3.0. Average score (2.6923076923076925)\n",
+            "Step 13: Win/lose count 5.5/3.0. Average score (2.6785714285714284)\n",
+            "Step 14: Win/lose count 2.0/1.0. Average score (2.566666666666667)\n",
+            "Step 15: Win/lose count 2.0/0. Average score (2.53125)\n",
+            "Step 16: Win/lose count 3.0/2.0. Average score (2.4411764705882355)\n",
+            "Step 17: Win/lose count 7.0/1.0. Average score (2.638888888888889)\n",
+            "Step 18: Win/lose count 9.0/3.0. Average score (2.8157894736842106)\n",
+            "Step 19: Win/lose count 4.0/0. Average score (2.875)\n",
+            "Step 20: Win/lose count 2.5/2.0. Average score (2.761904761904762)\n",
+            "Step 21: Win/lose count 8.5/2.0. Average score (2.9318181818181817)\n",
+            "Step 22: Win/lose count 4.0/3.0. Average score (2.847826086956522)\n",
+            "Step 23: Win/lose count 2.5/1.0. Average score (2.7916666666666665)\n",
+            "Step 24: Win/lose count 5.0/2.0. Average score (2.8)\n",
+            "Step 25: Win/lose count 8.0/0. Average score (3.0)\n",
+            "Step 26: Win/lose count 7.5/5.0. Average score (2.9814814814814814)\n",
+            "Step 27: Win/lose count 7.0/1.0. Average score (3.0892857142857144)\n",
+            "Step 28: Win/lose count 6.0/3.0. Average score (3.086206896551724)\n",
+            "Step 29: Win/lose count 5.0/0. Average score (3.15)\n",
+            "Step 30: Win/lose count 4.5/1.0. Average score (3.161290322580645)\n",
+            "Step 31: Win/lose count 4.0/4.0. Average score (3.0625)\n",
+            "Step 32: Win/lose count 1.5/2.0. Average score (2.9545454545454546)\n",
+            "Step 33: Win/lose count 8.0/5.0. Average score (2.9558823529411766)\n",
+            "Step 34: Win/lose count 8.0/4.0. Average score (2.9857142857142858)\n",
+            "Step 35: Win/lose count 1.0/2.0. Average score (2.875)\n",
+            "Step 36: Win/lose count 1.5/0. Average score (2.8378378378378377)\n",
+            "Step 37: Win/lose count 4.0/5.0. Average score (2.736842105263158)\n",
+            "Step 38: Win/lose count 7.0/1.0. Average score (2.8205128205128207)\n",
+            "Step 39: Win/lose count 5.5/4.0. Average score (2.7875)\n",
+            "Step 40: Win/lose count 4.5/4.0. Average score (2.731707317073171)\n",
+            "Step 41: Win/lose count 8.5/5.0. Average score (2.75)\n",
+            "Step 42: Win/lose count 3.0/4.0. Average score (2.6627906976744184)\n",
+            "Step 43: Win/lose count 9.0/3.0. Average score (2.7386363636363638)\n",
+            "Step 44: Win/lose count 7.5/2.0. Average score (2.8)\n",
+            "Step 45: Win/lose count 7.5/4.0. Average score (2.8152173913043477)\n",
+            "Step 46: Win/lose count 4.0/1.0. Average score (2.8191489361702127)\n",
+            "Step 47: Win/lose count 3.0/3.0. Average score (2.7604166666666665)\n",
+            "Step 48: Win/lose count 8.5/6.0. Average score (2.7551020408163267)\n",
+            "Step 49: Win/lose count 0.5/1.0. Average score (2.69)\n",
+            "Step 50: Win/lose count 5.0/1.0. Average score (2.715686274509804)\n",
+            "Step 51: Win/lose count 2.5/2.0. Average score (2.673076923076923)\n",
+            "Step 52: Win/lose count 7.0/3.0. Average score (2.69811320754717)\n",
+            "Step 53: Win/lose count 7.5/2.0. Average score (2.75)\n",
+            "Step 54: Win/lose count 10.0/5.0. Average score (2.790909090909091)\n",
+            "Step 55: Win/lose count 7.0/3.0. Average score (2.8125)\n",
+            "Step 56: Win/lose count 9.0/1.0. Average score (2.9035087719298245)\n",
+            "Step 57: Win/lose count 1.0/2.0. Average score (2.836206896551724)\n",
+            "Step 58: Win/lose count 5.5/3.0. Average score (2.830508474576271)\n",
+            "Step 59: Win/lose count 4.0/3.0. Average score (2.8)\n",
+            "Step 60: Win/lose count 5.0/2.0. Average score (2.80327868852459)\n",
+            "Step 61: Win/lose count 6.5/1.0. Average score (2.846774193548387)\n",
+            "Step 62: Win/lose count 9.5/2.0. Average score (2.9206349206349205)\n",
+            "Step 63: Win/lose count 6.5/2.0. Average score (2.9453125)\n",
+            "Step 64: Win/lose count 2.5/4.0. Average score (2.876923076923077)\n",
+            "Step 65: Win/lose count 11.5/3.0. Average score (2.962121212121212)\n",
+            "Step 66: Win/lose count 10.0/4.0. Average score (3.0074626865671643)\n",
+            "Step 67: Win/lose count 4.0/3.0. Average score (2.9779411764705883)\n",
+            "Step 68: Win/lose count 7.5/3.0. Average score (3.0)\n",
+            "Step 69: Win/lose count 3.5/1.0. Average score (2.992857142857143)\n",
+            "Step 70: Win/lose count 6.5/5.0. Average score (2.971830985915493)\n",
+            "Step 71: Win/lose count 5.5/3.0. Average score (2.9652777777777777)\n",
+            "Step 72: Win/lose count 2.0/0. Average score (2.952054794520548)\n",
+            "Step 73: Win/lose count 3.0/2.0. Average score (2.925675675675676)\n",
+            "Step 74: Win/lose count 7.0/3.0. Average score (2.94)\n",
+            "Step 75: Win/lose count 7.5/0. Average score (3.0)\n",
+            "Step 76: Win/lose count 8.5/3.0. Average score (3.0324675324675323)\n",
+            "Step 77: Win/lose count 4.5/1.0. Average score (3.0384615384615383)\n",
+            "Step 78: Win/lose count 3.0/0. Average score (3.037974683544304)\n",
+            "Step 79: Win/lose count 5.0/0. Average score (3.0625)\n",
+            "Step 80: Win/lose count 4.5/2.0. Average score (3.0555555555555554)\n",
+            "Step 81: Win/lose count 6.0/3.0. Average score (3.0548780487804876)\n",
+            "Step 82: Win/lose count 4.5/1.0. Average score (3.0602409638554215)\n",
+            "Step 83: Win/lose count 2.5/0. Average score (3.0535714285714284)\n",
+            "Step 84: Win/lose count 9.5/2.0. Average score (3.1058823529411765)\n",
+            "Step 85: Win/lose count 3.5/3.0. Average score (3.0755813953488373)\n",
+            "Step 86: Win/lose count 3.0/3.0. Average score (3.0402298850574714)\n",
+            "Step 87: Win/lose count 4.5/1.0. Average score (3.0454545454545454)\n",
+            "Step 88: Win/lose count 6.0/2.0. Average score (3.056179775280899)\n",
+            "Step 89: Win/lose count 7.5/1.0. Average score (3.0944444444444446)\n",
+            "Step 90: Win/lose count 5.5/1.0. Average score (3.10989010989011)\n",
+            "Step 91: Win/lose count 9.0/2.0. Average score (3.152173913043478)\n",
+            "Step 92: Win/lose count 2.5/6.0. Average score (3.0806451612903225)\n",
+            "Step 93: Win/lose count 5.5/3.0. Average score (3.074468085106383)\n",
+            "Step 94: Win/lose count 3.5/2.0. Average score (3.057894736842105)\n",
+            "Step 95: Win/lose count 7.0/3.0. Average score (3.0677083333333335)\n",
+            "Step 96: Win/lose count 6.5/2.0. Average score (3.082474226804124)\n",
+            "Step 97: Win/lose count 5.5/1.0. Average score (3.0969387755102042)\n",
+            "Step 98: Win/lose count 5.5/3.0. Average score (3.090909090909091)\n",
+            "Step 99: Win/lose count 1.5/2.0. Average score (3.055)\n",
+            "Step 100: Win/lose count 4.5/2.0. Average score (3.0495049504950495)\n",
+            "Final score: 3.08\n"
+          ],
+          "name": "stdout"
         }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oCCfkLopFGRX",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 349
+        },
+        "outputId": "fdd89d19-5758-4e96-a35e-4303f5fe54d8"
       },
       "cell_type": "code",
       "source": [
-        "HTML(display_videos('fc_test10.mp4'))"
+        "visualization_score(history_cnn)"
       ],
-      "execution_count": 41,
+      "execution_count": 59,
       "outputs": [
         {
-          "output_type": "execute_result",
+          "output_type": "display_data",
           "data": {
-            "text/html": [
-              "<video alt=\"test\" controls>\n",
-              "                <source 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type=\"video/mp4\" />\n",
-              "             </video>"
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cmRprIJWWlvL000/Tt29fx7aPPvqIgIAAEhISGDlyJDt27KC0tJT58+fz7rvv8v7777No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             "text/plain": [
-              "<IPython.core.display.HTML object>"
+              "<Figure size 1440x360 with 2 Axes>"
             ]
           },
           "metadata": {
             "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "EU0QtVJ5FJN6",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 349
+        },
+        "outputId": "dc3e8c13-c5b7-4836-afca-b0f68e08922b"
+      },
+      "cell_type": "code",
+      "source": [
+        "visualization_score(history_fc)"
+      ],
+      "execution_count": 60,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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INGq33XYTWVmZ9a9vuWUsa9asrn/95z8/RkpKAtXVVc6IJyIi0mi4ODtAY5GdfZwFC+bx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\n",
+            "text/plain": [
+              "<Figure size 1440x360 with 2 Axes>"
+            ]
           },
-          "execution_count": 41
+          "metadata": {
+            "tags": []
+          }
         }
       ]
     },
+    {
+      "metadata": {
+        "id": "8oSFGj02gDOr",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "HTML(display_videos('cnn_test100.mp4'))"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "SqVzfn-BgDOy",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "HTML(display_videos('fc_test100.mp4'))"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
     {
       "metadata": {
         "id": "bzLVK74UgDO7",
@@ -2169,7 +4387,29 @@
       "cell_type": "markdown",
       "source": [
         "Test both algorithms and compare their performances. \n",
-        "- CNN Agent is better than FC Agent when we compare the final score.\n",
+        "- CNN Agent is better than FC Agent when we compare the final score in some situation.\n",
+        "- We notice that the performances of the agents are fluctuant and depend maybe on the convergence time (number of epochs) or depend on the nature of the problem (RL).\n",
+        "\n",
+        "Results Table for memory size choice on test step:\n",
+        "\n",
+        "|Memory Size|20|200|2000|\n",
+        "|-|-|-|-|\n",
+        "|CNN|0.65|1.465|1.9|\n",
+        "|FC|1.625|2.265|1.64|\n",
+        "\n",
+        "Results Table for learning rate choice on test step:\n",
+        "\n",
+        "|Learning Rate|.01|.001|.0001|\n",
+        "|-|-|-|-|\n",
+        "|CNN|2.385|-0.48|-2.33|\n",
+        "|FC|2.615|-0.57|-1.56|\n",
+        "\n",
+        "Results Table for batch size choice on test step:\n",
+        "\n",
+        "|Batch Size|8|16|32|\n",
+        "|-|-|-|-|\n",
+        "|CNN|3.1|0.93|1.58|\n",
+        "|FC|1.57|1.915|3.08|\n",
         "\n",
         "Which issue(s) do you observe? \n",
         "- Each Agent can be blocked in a cycle.\n",
@@ -2381,120 +4621,120 @@
           "base_uri": "https://localhost:8080/",
           "height": 1717
         },
-        "outputId": "cd1c02e6-2dbb-4f81-c7b6-9587eca6de78"
+        "outputId": "03e9dd29-2500-42bf-9bcd-80cc5435cff1"
       },
       "cell_type": "code",
       "source": [
         "# Training\n",
         "env = EnvironmentExploring(grid_size=size, max_time=T, temperature=0.3)\n",
-        "agent = DQN_CNN(size, lr=.1, epsilon = 0.1, memory_size=2000, batch_size = 32,n_state=3)\n",
+        "agent = DQN_CNN(size, lr=.1, epsilon = 0.1, memory_size=2000, batch_size = 32, n_state=3)\n",
         "history_cnn = train_explore(agent, env, epochs_train, prefix='cnn_train_explore')"
       ],
-      "execution_count": 43,
+      "execution_count": 69,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Epoch 001/100 | Loss 0.0090 | Eps 0.2000 | Win/lose count 7.5/23.70000000000007 (-16.20000000000007)\n",
-            "Epoch 002/100 | Loss 0.0082 | Eps 0.1181 | Win/lose count 5.0/21.900000000000045 (-16.900000000000045)\n",
-            "Epoch 003/100 | Loss 0.0079 | Eps 0.0953 | Win/lose count 7.5/19.10000000000001 (-11.600000000000009)\n",
-            "Epoch 004/100 | Loss 0.0109 | Eps 0.0838 | Win/lose count 11.5/17.999999999999996 (-6.4999999999999964)\n",
-            "Epoch 005/100 | Loss 0.0177 | Eps 0.0766 | Win/lose count 3.0/19.600000000000012 (-16.600000000000012)\n",
-            "Epoch 006/100 | Loss 0.0070 | Eps 0.0716 | Win/lose count 9.5/19.000000000000014 (-9.500000000000014)\n",
-            "Epoch 007/100 | Loss 0.0089 | Eps 0.0679 | Win/lose count 11.5/18.599999999999998 (-7.099999999999998)\n",
-            "Epoch 008/100 | Loss 0.0118 | Eps 0.0649 | Win/lose count 16.5/16.999999999999982 (-0.49999999999998224)\n",
-            "Epoch 009/100 | Loss 0.0074 | Eps 0.0626 | Win/lose count 14.0/15.799999999999963 (-1.7999999999999634)\n",
-            "Epoch 010/100 | Loss 0.0070 | Eps 0.0606 | Win/lose count 7.5/16.999999999999975 (-9.499999999999975)\n",
-            "Epoch 011/100 | Loss 0.0051 | Eps 0.0589 | Win/lose count 7.5/15.69999999999996 (-8.19999999999996)\n",
-            "Epoch 012/100 | Loss 0.0077 | Eps 0.0574 | Win/lose count 13.5/17.699999999999992 (-4.199999999999992)\n",
-            "Epoch 013/100 | Loss 0.0084 | Eps 0.0561 | Win/lose count 12.0/14.399999999999965 (-2.399999999999965)\n",
-            "Epoch 014/100 | Loss 0.0120 | Eps 0.0550 | Win/lose count 19.5/16.599999999999973 (2.900000000000027)\n",
-            "Epoch 015/100 | Loss 0.0110 | Eps 0.0539 | Win/lose count 16.0/14.499999999999972 (1.5000000000000284)\n",
-            "Epoch 016/100 | Loss 0.0256 | Eps 0.0530 | Win/lose count 11.0/15.69999999999996 (-4.69999999999996)\n",
-            "Epoch 017/100 | Loss 0.0332 | Eps 0.0522 | Win/lose count 19.0/14.299999999999969 (4.700000000000031)\n",
-            "Epoch 018/100 | Loss 0.0140 | Eps 0.0514 | Win/lose count 16.5/12.79999999999997 (3.7000000000000295)\n",
-            "Epoch 019/100 | Loss 0.0334 | Eps 0.0507 | Win/lose count 19.0/16.09999999999997 (2.9000000000000306)\n",
-            "Epoch 020/100 | Loss 0.0312 | Eps 0.0501 | Win/lose count 15.0/14.199999999999966 (0.8000000000000345)\n",
-            "Epoch 021/100 | Loss 0.0137 | Eps 0.0494 | Win/lose count 23.5/12.799999999999976 (10.700000000000024)\n",
-            "Epoch 022/100 | Loss 0.0319 | Eps 0.0489 | Win/lose count 23.0/10.499999999999979 (12.500000000000021)\n",
-            "Epoch 023/100 | Loss 0.0174 | Eps 0.0484 | Win/lose count 17.0/14.599999999999964 (2.400000000000036)\n",
-            "Epoch 024/100 | Loss 0.0578 | Eps 0.0479 | Win/lose count 22.5/13.399999999999975 (9.100000000000025)\n",
-            "Epoch 025/100 | Loss 0.0246 | Eps 0.0474 | Win/lose count 19.0/12.999999999999973 (6.000000000000027)\n",
-            "Epoch 026/100 | Loss 0.0118 | Eps 0.0470 | Win/lose count 19.0/17.599999999999998 (1.4000000000000021)\n",
-            "Epoch 027/100 | Loss 0.0191 | Eps 0.0466 | Win/lose count 23.5/13.899999999999972 (9.600000000000028)\n",
-            "Epoch 028/100 | Loss 0.0292 | Eps 0.0462 | Win/lose count 19.0/14.799999999999976 (4.200000000000024)\n",
-            "Epoch 029/100 | Loss 0.0248 | Eps 0.0458 | Win/lose count 25.0/13.799999999999974 (11.200000000000026)\n",
-            "Epoch 030/100 | Loss 0.0262 | Eps 0.0454 | Win/lose count 28.0/12.499999999999979 (15.500000000000021)\n",
-            "Epoch 031/100 | Loss 0.0301 | Eps 0.0451 | Win/lose count 22.0/13.999999999999973 (8.000000000000027)\n",
-            "Epoch 032/100 | Loss 0.0322 | Eps 0.0448 | Win/lose count 18.0/14.599999999999971 (3.4000000000000288)\n",
-            "Epoch 033/100 | Loss 0.0178 | Eps 0.0445 | Win/lose count 20.5/11.99999999999998 (8.50000000000002)\n",
-            "Epoch 034/100 | Loss 0.0282 | Eps 0.0442 | Win/lose count 19.0/15.399999999999975 (3.6000000000000245)\n",
-            "Epoch 035/100 | Loss 0.0207 | Eps 0.0439 | Win/lose count 23.5/14.599999999999978 (8.900000000000022)\n",
-            "Epoch 036/100 | Loss 0.0227 | Eps 0.0436 | Win/lose count 19.0/16.49999999999997 (2.5000000000000284)\n",
-            "Epoch 037/100 | Loss 0.0227 | Eps 0.0434 | Win/lose count 17.0/13.69999999999997 (3.300000000000029)\n",
-            "Epoch 038/100 | Loss 0.0248 | Eps 0.0431 | Win/lose count 26.5/12.99999999999998 (13.50000000000002)\n",
-            "Epoch 039/100 | Loss 0.0117 | Eps 0.0429 | Win/lose count 19.5/18.39999999999999 (1.1000000000000085)\n",
-            "Epoch 040/100 | Loss 0.0248 | Eps 0.0427 | Win/lose count 15.5/15.599999999999966 (-0.0999999999999659)\n",
-            "Epoch 041/100 | Loss 0.0160 | Eps 0.0424 | Win/lose count 16.5/15.999999999999966 (0.5000000000000338)\n",
-            "Epoch 042/100 | Loss 0.0147 | Eps 0.0422 | Win/lose count 25.0/9.499999999999982 (15.500000000000018)\n",
-            "Epoch 043/100 | Loss 0.0355 | Eps 0.0420 | Win/lose count 21.5/14.199999999999973 (7.300000000000027)\n",
-            "Epoch 044/100 | Loss 0.0202 | Eps 0.0418 | Win/lose count 23.0/14.799999999999974 (8.200000000000026)\n",
-            "Epoch 045/100 | Loss 0.0190 | Eps 0.0416 | Win/lose count 22.0/17.099999999999987 (4.900000000000013)\n",
-            "Epoch 046/100 | Loss 0.0338 | Eps 0.0414 | Win/lose count 24.5/11.799999999999978 (12.700000000000022)\n",
-            "Epoch 047/100 | Loss 0.0176 | Eps 0.0412 | Win/lose count 24.0/14.399999999999968 (9.600000000000032)\n",
-            "Epoch 048/100 | Loss 0.0278 | Eps 0.0411 | Win/lose count 17.0/19.0 (-2.0)\n",
-            "Epoch 049/100 | Loss 0.0253 | Eps 0.0409 | Win/lose count 21.5/14.499999999999973 (7.000000000000027)\n",
-            "Epoch 050/100 | Loss 0.0168 | Eps 0.0407 | Win/lose count 25.0/14.299999999999972 (10.700000000000028)\n",
-            "Epoch 051/100 | Loss 0.0229 | Eps 0.0406 | Win/lose count 30.0/11.799999999999981 (18.200000000000017)\n",
-            "Epoch 052/100 | Loss 0.0202 | Eps 0.0404 | Win/lose count 23.0/13.09999999999998 (9.90000000000002)\n",
-            "Epoch 053/100 | Loss 0.0147 | Eps 0.0402 | Win/lose count 22.0/13.799999999999974 (8.200000000000026)\n",
-            "Epoch 054/100 | Loss 0.0212 | Eps 0.0401 | Win/lose count 24.5/15.699999999999973 (8.800000000000027)\n",
-            "Epoch 055/100 | Loss 0.0211 | Eps 0.0399 | Win/lose count 22.0/10.79999999999998 (11.20000000000002)\n",
-            "Epoch 056/100 | Loss 0.0175 | Eps 0.0398 | Win/lose count 24.0/10.999999999999977 (13.000000000000023)\n",
-            "Epoch 057/100 | Loss 0.0293 | Eps 0.0397 | Win/lose count 16.5/13.199999999999976 (3.300000000000024)\n",
-            "Epoch 058/100 | Loss 0.0238 | Eps 0.0395 | Win/lose count 25.5/13.599999999999973 (11.900000000000027)\n",
-            "Epoch 059/100 | Loss 0.0198 | Eps 0.0394 | Win/lose count 25.0/12.89999999999997 (12.10000000000003)\n",
-            "Epoch 060/100 | Loss 0.0161 | Eps 0.0393 | Win/lose count 23.0/11.499999999999979 (11.500000000000021)\n",
-            "Epoch 061/100 | Loss 0.0277 | Eps 0.0391 | Win/lose count 16.5/11.399999999999977 (5.100000000000023)\n",
-            "Epoch 062/100 | Loss 0.0153 | Eps 0.0390 | Win/lose count 21.0/11.599999999999978 (9.400000000000022)\n",
-            "Epoch 063/100 | Loss 0.0166 | Eps 0.0389 | Win/lose count 19.0/13.499999999999972 (5.500000000000028)\n",
-            "Epoch 064/100 | Loss 0.0118 | Eps 0.0388 | Win/lose count 22.5/15.199999999999974 (7.300000000000026)\n",
-            "Epoch 065/100 | Loss 0.0153 | Eps 0.0387 | Win/lose count 19.0/12.699999999999974 (6.300000000000026)\n",
-            "Epoch 066/100 | Loss 0.0173 | Eps 0.0385 | Win/lose count 19.5/14.699999999999973 (4.800000000000027)\n",
-            "Epoch 067/100 | Loss 0.0164 | Eps 0.0384 | Win/lose count 20.5/18.299999999999997 (2.200000000000003)\n",
-            "Epoch 068/100 | Loss 0.0164 | Eps 0.0383 | Win/lose count 24.5/11.699999999999978 (12.800000000000022)\n",
-            "Epoch 069/100 | Loss 0.0247 | Eps 0.0382 | Win/lose count 20.0/13.79999999999997 (6.2000000000000295)\n",
-            "Epoch 070/100 | Loss 0.0220 | Eps 0.0381 | Win/lose count 26.0/10.399999999999979 (15.600000000000021)\n",
-            "Epoch 071/100 | Loss 0.0305 | Eps 0.0380 | Win/lose count 17.0/14.399999999999972 (2.600000000000028)\n",
-            "Epoch 072/100 | Loss 0.0130 | Eps 0.0379 | Win/lose count 16.0/14.399999999999968 (1.6000000000000316)\n",
-            "Epoch 073/100 | Loss 0.0238 | Eps 0.0378 | Win/lose count 24.0/13.899999999999977 (10.100000000000023)\n",
-            "Epoch 074/100 | Loss 0.0156 | Eps 0.0377 | Win/lose count 17.0/12.599999999999975 (4.400000000000025)\n",
-            "Epoch 075/100 | Loss 0.0249 | Eps 0.0376 | Win/lose count 23.0/16.899999999999988 (6.100000000000012)\n",
-            "Epoch 076/100 | Loss 0.0216 | Eps 0.0375 | Win/lose count 21.5/15.999999999999973 (5.500000000000027)\n",
-            "Epoch 077/100 | Loss 0.0147 | Eps 0.0374 | Win/lose count 28.5/12.399999999999979 (16.100000000000023)\n",
-            "Epoch 078/100 | Loss 0.0184 | Eps 0.0373 | Win/lose count 23.5/15.999999999999966 (7.500000000000034)\n",
-            "Epoch 079/100 | Loss 0.0122 | Eps 0.0372 | Win/lose count 23.5/10.899999999999984 (12.600000000000016)\n",
-            "Epoch 080/100 | Loss 0.0210 | Eps 0.0372 | Win/lose count 12.5/13.999999999999966 (-1.4999999999999662)\n",
-            "Epoch 081/100 | Loss 0.0254 | Eps 0.0371 | Win/lose count 24.0/17.299999999999997 (6.700000000000003)\n",
-            "Epoch 082/100 | Loss 0.0284 | Eps 0.0370 | Win/lose count 21.5/11.899999999999974 (9.600000000000026)\n",
-            "Epoch 083/100 | Loss 0.0152 | Eps 0.0369 | Win/lose count 26.0/13.999999999999977 (12.000000000000023)\n",
-            "Epoch 084/100 | Loss 0.0222 | Eps 0.0368 | Win/lose count 18.0/18.299999999999976 (-0.29999999999997584)\n",
-            "Epoch 085/100 | Loss 0.0258 | Eps 0.0367 | Win/lose count 20.0/11.299999999999978 (8.700000000000022)\n",
-            "Epoch 086/100 | Loss 0.0277 | Eps 0.0367 | Win/lose count 23.5/14.199999999999973 (9.300000000000027)\n",
-            "Epoch 087/100 | Loss 0.0195 | Eps 0.0366 | Win/lose count 25.0/13.799999999999981 (11.200000000000019)\n",
-            "Epoch 088/100 | Loss 0.0212 | Eps 0.0365 | Win/lose count 24.5/13.299999999999976 (11.200000000000024)\n",
-            "Epoch 089/100 | Loss 0.0141 | Eps 0.0364 | Win/lose count 20.0/12.699999999999982 (7.3000000000000185)\n",
-            "Epoch 090/100 | Loss 0.0327 | Eps 0.0364 | Win/lose count 22.0/14.899999999999977 (7.100000000000023)\n",
-            "Epoch 091/100 | Loss 0.0269 | Eps 0.0363 | Win/lose count 22.0/14.699999999999967 (7.300000000000033)\n",
-            "Epoch 092/100 | Loss 0.0255 | Eps 0.0362 | Win/lose count 23.0/14.999999999999973 (8.000000000000027)\n",
-            "Epoch 093/100 | Loss 0.0199 | Eps 0.0361 | Win/lose count 26.5/12.499999999999979 (14.000000000000021)\n",
-            "Epoch 094/100 | Loss 0.0236 | Eps 0.0361 | Win/lose count 16.5/15.599999999999978 (0.9000000000000217)\n",
-            "Epoch 095/100 | Loss 0.0278 | Eps 0.0360 | Win/lose count 20.0/15.199999999999964 (4.800000000000036)\n",
-            "Epoch 096/100 | Loss 0.0175 | Eps 0.0359 | Win/lose count 25.5/15.499999999999975 (10.000000000000025)\n",
-            "Epoch 097/100 | Loss 0.0198 | Eps 0.0359 | Win/lose count 25.5/11.499999999999979 (14.000000000000021)\n",
-            "Epoch 098/100 | Loss 0.0256 | Eps 0.0358 | Win/lose count 29.5/10.599999999999982 (18.90000000000002)\n",
-            "Epoch 099/100 | Loss 0.0264 | Eps 0.0357 | Win/lose count 22.0/9.599999999999982 (12.400000000000018)\n",
-            "Epoch 100/100 | Loss 0.0254 | Eps 0.0357 | Win/lose count 23.5/15.999999999999977 (7.500000000000023)\n"
+            "Epoch 001/100 | Loss 0.0092 | Eps 0.2000 | Win/lose count 5.5/22.900000000000038 (-17.400000000000038)\n",
+            "Epoch 002/100 | Loss 0.0049 | Eps 0.1181 | Win/lose count 10.5/23.700000000000063 (-13.200000000000063)\n",
+            "Epoch 003/100 | Loss 0.0153 | Eps 0.0953 | Win/lose count 6.5/19.700000000000003 (-13.200000000000003)\n",
+            "Epoch 004/100 | Loss 0.0056 | Eps 0.0838 | Win/lose count 2.5/22.100000000000055 (-19.600000000000055)\n",
+            "Epoch 005/100 | Loss 0.0075 | Eps 0.0766 | Win/lose count 8.5/17.099999999999977 (-8.599999999999977)\n",
+            "Epoch 006/100 | Loss 0.0214 | Eps 0.0716 | Win/lose count 6.0/21.700000000000053 (-15.700000000000053)\n",
+            "Epoch 007/100 | Loss 0.0079 | Eps 0.0679 | Win/lose count 8.5/19.900000000000027 (-11.400000000000027)\n",
+            "Epoch 008/100 | Loss 0.0084 | Eps 0.0649 | Win/lose count 9.0/18.199999999999978 (-9.199999999999978)\n",
+            "Epoch 009/100 | Loss 0.0091 | Eps 0.0626 | Win/lose count 8.0/18.29999999999998 (-10.29999999999998)\n",
+            "Epoch 010/100 | Loss 0.0135 | Eps 0.0606 | Win/lose count 3.0/19.40000000000001 (-16.40000000000001)\n",
+            "Epoch 011/100 | Loss 0.0105 | Eps 0.0589 | Win/lose count 13.5/19.099999999999994 (-5.599999999999994)\n",
+            "Epoch 012/100 | Loss 0.0053 | Eps 0.0574 | Win/lose count 13.0/18.499999999999996 (-5.4999999999999964)\n",
+            "Epoch 013/100 | Loss 0.0066 | Eps 0.0561 | Win/lose count 3.5/20.100000000000005 (-16.600000000000005)\n",
+            "Epoch 014/100 | Loss 0.0106 | Eps 0.0550 | Win/lose count 8.0/17.19999999999998 (-9.199999999999982)\n",
+            "Epoch 015/100 | Loss 0.0101 | Eps 0.0539 | Win/lose count 12.5/16.39999999999997 (-3.89999999999997)\n",
+            "Epoch 016/100 | Loss 0.0098 | Eps 0.0530 | Win/lose count 8.5/17.599999999999984 (-9.099999999999984)\n",
+            "Epoch 017/100 | Loss 0.0095 | Eps 0.0522 | Win/lose count 6.5/17.59999999999998 (-11.09999999999998)\n",
+            "Epoch 018/100 | Loss 0.0128 | Eps 0.0514 | Win/lose count 10.5/15.59999999999996 (-5.099999999999961)\n",
+            "Epoch 019/100 | Loss 0.0168 | Eps 0.0507 | Win/lose count 13.5/15.599999999999962 (-2.0999999999999623)\n",
+            "Epoch 020/100 | Loss 0.0148 | Eps 0.0501 | Win/lose count 18.5/17.49999999999999 (1.0000000000000107)\n",
+            "Epoch 021/100 | Loss 0.0143 | Eps 0.0494 | Win/lose count 8.0/18.800000000000004 (-10.800000000000004)\n",
+            "Epoch 022/100 | Loss 0.0222 | Eps 0.0489 | Win/lose count 11.0/19.70000000000002 (-8.70000000000002)\n",
+            "Epoch 023/100 | Loss 0.0323 | Eps 0.0484 | Win/lose count 18.0/15.09999999999997 (2.9000000000000306)\n",
+            "Epoch 024/100 | Loss 0.0193 | Eps 0.0479 | Win/lose count 18.0/16.399999999999967 (1.6000000000000334)\n",
+            "Epoch 025/100 | Loss 0.0091 | Eps 0.0474 | Win/lose count 13.0/15.099999999999962 (-2.0999999999999623)\n",
+            "Epoch 026/100 | Loss 0.0369 | Eps 0.0470 | Win/lose count 20.5/10.29999999999998 (10.20000000000002)\n",
+            "Epoch 027/100 | Loss 0.0233 | Eps 0.0466 | Win/lose count 24.5/13.599999999999971 (10.900000000000029)\n",
+            "Epoch 028/100 | Loss 0.0214 | Eps 0.0462 | Win/lose count 27.5/10.399999999999979 (17.100000000000023)\n",
+            "Epoch 029/100 | Loss 0.0207 | Eps 0.0458 | Win/lose count 14.5/16.399999999999967 (-1.8999999999999666)\n",
+            "Epoch 030/100 | Loss 0.0193 | Eps 0.0454 | Win/lose count 17.0/13.399999999999968 (3.6000000000000316)\n",
+            "Epoch 031/100 | Loss 0.0398 | Eps 0.0451 | Win/lose count 18.0/14.399999999999968 (3.6000000000000316)\n",
+            "Epoch 032/100 | Loss 0.0272 | Eps 0.0448 | Win/lose count 20.0/17.399999999999967 (2.6000000000000334)\n",
+            "Epoch 033/100 | Loss 0.0504 | Eps 0.0445 | Win/lose count 24.0/14.999999999999975 (9.000000000000025)\n",
+            "Epoch 034/100 | Loss 0.0284 | Eps 0.0442 | Win/lose count 24.0/15.199999999999976 (8.800000000000024)\n",
+            "Epoch 035/100 | Loss 0.0242 | Eps 0.0439 | Win/lose count 23.0/14.499999999999975 (8.500000000000025)\n",
+            "Epoch 036/100 | Loss 0.0179 | Eps 0.0436 | Win/lose count 22.5/17.199999999999978 (5.300000000000022)\n",
+            "Epoch 037/100 | Loss 0.0220 | Eps 0.0434 | Win/lose count 19.5/13.599999999999975 (5.900000000000025)\n",
+            "Epoch 038/100 | Loss 0.0172 | Eps 0.0431 | Win/lose count 18.0/12.199999999999974 (5.800000000000026)\n",
+            "Epoch 039/100 | Loss 0.0246 | Eps 0.0429 | Win/lose count 29.0/13.299999999999976 (15.700000000000024)\n",
+            "Epoch 040/100 | Loss 0.0169 | Eps 0.0427 | Win/lose count 24.0/13.899999999999974 (10.100000000000026)\n",
+            "Epoch 041/100 | Loss 0.0234 | Eps 0.0424 | Win/lose count 18.0/16.99999999999998 (1.0000000000000213)\n",
+            "Epoch 042/100 | Loss 0.0301 | Eps 0.0422 | Win/lose count 20.0/13.399999999999972 (6.600000000000028)\n",
+            "Epoch 043/100 | Loss 0.0300 | Eps 0.0420 | Win/lose count 22.5/11.799999999999974 (10.700000000000026)\n",
+            "Epoch 044/100 | Loss 0.0395 | Eps 0.0418 | Win/lose count 20.0/13.09999999999998 (6.90000000000002)\n",
+            "Epoch 045/100 | Loss 0.0176 | Eps 0.0416 | Win/lose count 16.5/14.599999999999975 (1.9000000000000252)\n",
+            "Epoch 046/100 | Loss 0.0225 | Eps 0.0414 | Win/lose count 25.0/13.799999999999978 (11.200000000000022)\n",
+            "Epoch 047/100 | Loss 0.0281 | Eps 0.0412 | Win/lose count 23.5/12.999999999999975 (10.500000000000025)\n",
+            "Epoch 048/100 | Loss 0.0231 | Eps 0.0411 | Win/lose count 29.0/13.99999999999998 (15.00000000000002)\n",
+            "Epoch 049/100 | Loss 0.0169 | Eps 0.0409 | Win/lose count 23.5/9.499999999999986 (14.000000000000014)\n",
+            "Epoch 050/100 | Loss 0.0211 | Eps 0.0407 | Win/lose count 26.5/15.799999999999976 (10.700000000000024)\n",
+            "Epoch 051/100 | Loss 0.0205 | Eps 0.0406 | Win/lose count 24.0/11.199999999999985 (12.800000000000015)\n",
+            "Epoch 052/100 | Loss 0.0189 | Eps 0.0404 | Win/lose count 19.0/11.899999999999974 (7.100000000000026)\n",
+            "Epoch 053/100 | Loss 0.0403 | Eps 0.0402 | Win/lose count 25.5/11.699999999999973 (13.800000000000027)\n",
+            "Epoch 054/100 | Loss 0.0398 | Eps 0.0401 | Win/lose count 23.5/14.199999999999973 (9.300000000000027)\n",
+            "Epoch 055/100 | Loss 0.0199 | Eps 0.0399 | Win/lose count 18.5/16.09999999999997 (2.4000000000000306)\n",
+            "Epoch 056/100 | Loss 0.0270 | Eps 0.0398 | Win/lose count 26.0/13.899999999999977 (12.100000000000023)\n",
+            "Epoch 057/100 | Loss 0.0347 | Eps 0.0397 | Win/lose count 20.0/12.399999999999972 (7.600000000000028)\n",
+            "Epoch 058/100 | Loss 0.0363 | Eps 0.0395 | Win/lose count 19.5/13.199999999999973 (6.300000000000027)\n",
+            "Epoch 059/100 | Loss 0.0199 | Eps 0.0394 | Win/lose count 25.5/11.89999999999998 (13.60000000000002)\n",
+            "Epoch 060/100 | Loss 0.0207 | Eps 0.0393 | Win/lose count 22.5/12.29999999999998 (10.20000000000002)\n",
+            "Epoch 061/100 | Loss 0.0192 | Eps 0.0391 | Win/lose count 22.0/14.299999999999978 (7.700000000000022)\n",
+            "Epoch 062/100 | Loss 0.0199 | Eps 0.0390 | Win/lose count 22.0/12.799999999999974 (9.200000000000026)\n",
+            "Epoch 063/100 | Loss 0.0238 | Eps 0.0389 | Win/lose count 21.0/14.099999999999977 (6.9000000000000234)\n",
+            "Epoch 064/100 | Loss 0.0195 | Eps 0.0388 | Win/lose count 21.0/14.599999999999975 (6.400000000000025)\n",
+            "Epoch 065/100 | Loss 0.0211 | Eps 0.0387 | Win/lose count 28.0/14.699999999999978 (13.300000000000022)\n",
+            "Epoch 066/100 | Loss 0.0213 | Eps 0.0385 | Win/lose count 21.0/11.199999999999976 (9.800000000000024)\n",
+            "Epoch 067/100 | Loss 0.0197 | Eps 0.0384 | Win/lose count 21.5/11.699999999999982 (9.800000000000018)\n",
+            "Epoch 068/100 | Loss 0.0290 | Eps 0.0383 | Win/lose count 23.5/11.599999999999984 (11.900000000000016)\n",
+            "Epoch 069/100 | Loss 0.0199 | Eps 0.0382 | Win/lose count 24.5/11.19999999999998 (13.30000000000002)\n",
+            "Epoch 070/100 | Loss 0.0275 | Eps 0.0381 | Win/lose count 23.5/13.499999999999975 (10.000000000000025)\n",
+            "Epoch 071/100 | Loss 0.0175 | Eps 0.0380 | Win/lose count 22.0/12.399999999999975 (9.600000000000025)\n",
+            "Epoch 072/100 | Loss 0.0270 | Eps 0.0379 | Win/lose count 21.5/12.399999999999975 (9.100000000000025)\n",
+            "Epoch 073/100 | Loss 0.0180 | Eps 0.0378 | Win/lose count 20.5/12.099999999999978 (8.400000000000022)\n",
+            "Epoch 074/100 | Loss 0.0176 | Eps 0.0377 | Win/lose count 19.5/12.699999999999982 (6.8000000000000185)\n",
+            "Epoch 075/100 | Loss 0.0329 | Eps 0.0376 | Win/lose count 21.5/14.899999999999975 (6.6000000000000245)\n",
+            "Epoch 076/100 | Loss 0.0134 | Eps 0.0375 | Win/lose count 19.0/15.99999999999997 (3.00000000000003)\n",
+            "Epoch 077/100 | Loss 0.0351 | Eps 0.0374 | Win/lose count 22.5/17.700000000000003 (4.799999999999997)\n",
+            "Epoch 078/100 | Loss 0.0207 | Eps 0.0373 | Win/lose count 23.5/16.399999999999974 (7.100000000000026)\n",
+            "Epoch 079/100 | Loss 0.0222 | Eps 0.0372 | Win/lose count 25.0/10.19999999999998 (14.80000000000002)\n",
+            "Epoch 080/100 | Loss 0.0157 | Eps 0.0372 | Win/lose count 22.5/11.899999999999986 (10.600000000000014)\n",
+            "Epoch 081/100 | Loss 0.0178 | Eps 0.0371 | Win/lose count 21.5/9.999999999999986 (11.500000000000014)\n",
+            "Epoch 082/100 | Loss 0.0233 | Eps 0.0370 | Win/lose count 20.5/14.499999999999975 (6.000000000000025)\n",
+            "Epoch 083/100 | Loss 0.0199 | Eps 0.0369 | Win/lose count 20.0/12.499999999999982 (7.500000000000018)\n",
+            "Epoch 084/100 | Loss 0.0345 | Eps 0.0368 | Win/lose count 26.5/14.699999999999978 (11.800000000000022)\n",
+            "Epoch 085/100 | Loss 0.0321 | Eps 0.0367 | Win/lose count 28.5/18.3 (10.2)\n",
+            "Epoch 086/100 | Loss 0.0155 | Eps 0.0367 | Win/lose count 26.0/12.19999999999998 (13.80000000000002)\n",
+            "Epoch 087/100 | Loss 0.0184 | Eps 0.0366 | Win/lose count 22.5/11.399999999999975 (11.100000000000025)\n",
+            "Epoch 088/100 | Loss 0.0334 | Eps 0.0365 | Win/lose count 22.0/13.699999999999978 (8.300000000000022)\n",
+            "Epoch 089/100 | Loss 0.0206 | Eps 0.0364 | Win/lose count 21.5/15.699999999999976 (5.800000000000024)\n",
+            "Epoch 090/100 | Loss 0.0204 | Eps 0.0364 | Win/lose count 28.0/16.399999999999977 (11.600000000000023)\n",
+            "Epoch 091/100 | Loss 0.0235 | Eps 0.0363 | Win/lose count 25.5/14.499999999999972 (11.000000000000028)\n",
+            "Epoch 092/100 | Loss 0.0172 | Eps 0.0362 | Win/lose count 23.0/17.69999999999999 (5.300000000000011)\n",
+            "Epoch 093/100 | Loss 0.0208 | Eps 0.0361 | Win/lose count 17.0/12.499999999999982 (4.500000000000018)\n",
+            "Epoch 094/100 | Loss 0.0352 | Eps 0.0361 | Win/lose count 21.5/14.399999999999974 (7.100000000000026)\n",
+            "Epoch 095/100 | Loss 0.0184 | Eps 0.0360 | Win/lose count 16.0/14.69999999999997 (1.3000000000000291)\n",
+            "Epoch 096/100 | Loss 0.0212 | Eps 0.0359 | Win/lose count 26.5/11.399999999999979 (15.100000000000021)\n",
+            "Epoch 097/100 | Loss 0.0287 | Eps 0.0359 | Win/lose count 19.5/12.599999999999975 (6.900000000000025)\n",
+            "Epoch 098/100 | Loss 0.0192 | Eps 0.0358 | Win/lose count 20.5/12.499999999999975 (8.000000000000025)\n",
+            "Epoch 099/100 | Loss 0.0189 | Eps 0.0357 | Win/lose count 27.0/11.999999999999973 (15.000000000000027)\n",
+            "Epoch 100/100 | Loss 0.0236 | Eps 0.0357 | Win/lose count 23.5/13.299999999999983 (10.200000000000017)\n"
           ],
           "name": "stdout"
         }
@@ -2508,18 +4748,18 @@
           "base_uri": "https://localhost:8080/",
           "height": 349
         },
-        "outputId": "922b12a5-40af-43cc-98fa-4550dbb507ae"
+        "outputId": "a898f782-f0b5-4313-d908-9b69aea8fe09"
       },
       "cell_type": "code",
       "source": [
         "visualization_score(history_cnn)"
       ],
-      "execution_count": 44,
+      "execution_count": 70,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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tXKq386nmzqV6X1pxaQVvL9tH0vEc2jVryOO3dcHtDz4IQ2ss1T0ag107VG/n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\nz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qwkMP3Q/YGDVqjOMuQkREarQjaef4/Puj7Duei9lk4LZegQzr2arOzlD6Xwbb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\n",
             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -2538,20 +4778,20 @@
           "base_uri": "https://localhost:8080/",
           "height": 293
         },
-        "outputId": "0e2dedf4-7258-4ccd-ec1b-0650366584ba"
+        "outputId": "de28c699-f473-471c-c886-7121c04b8ec9"
       },
       "cell_type": "code",
       "source": [
         "HTML(display_videos('cnn_train_explore100.mp4'))"
       ],
-      "execution_count": 45,
+      "execution_count": 63,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/html": [
               "<video alt=\"test\" controls>\n",
-              "                <source 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type=\"video/mp4\" />\n",
               "             </video>"
             ],
             "text/plain": [
@@ -2561,7 +4801,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 45
+          "execution_count": 63
         }
       ]
     },
@@ -2573,119 +4813,119 @@
           "base_uri": "https://localhost:8080/",
           "height": 1734
         },
-        "outputId": "60bbf866-5199-486e-f12a-7319cb9d3714"
+        "outputId": "0bf9be03-8956-4aaf-bc14-ce669f66517e"
       },
       "cell_type": "code",
       "source": [
         "# Evaluation\n",
         "history_cnn = test(agent,env,epochs_test,prefix='cnn_test_explore')"
       ],
-      "execution_count": 46,
+      "execution_count": 71,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Step 1: Win/lose count 25.5/4.0. Average score (10.75)\n",
-            "Step 2: Win/lose count 19.5/4.0. Average score (12.333333333333334)\n",
-            "Step 3: Win/lose count 22.0/5.0. Average score (13.5)\n",
-            "Step 4: Win/lose count 23.0/3.0. Average score (14.8)\n",
-            "Step 5: Win/lose count 21.0/4.0. Average score (15.166666666666666)\n",
-            "Step 6: Win/lose count 20.5/5.0. Average score (15.214285714285714)\n",
-            "Step 7: Win/lose count 16.5/2.0. Average score (15.125)\n",
-            "Step 8: Win/lose count 28.0/6.0. Average score (15.88888888888889)\n",
-            "Step 9: Win/lose count 20.5/4.0. Average score (15.95)\n",
-            "Step 10: Win/lose count 25.0/4.0. Average score (16.40909090909091)\n",
-            "Step 11: Win/lose count 22.5/4.0. Average score (16.583333333333332)\n",
-            "Step 12: Win/lose count 24.0/3.0. Average score (16.923076923076923)\n",
-            "Step 13: Win/lose count 21.0/2.0. Average score (17.071428571428573)\n",
-            "Step 14: Win/lose count 14.5/2.0. Average score (16.766666666666666)\n",
-            "Step 15: Win/lose count 27.0/5.0. Average score (17.09375)\n",
-            "Step 16: Win/lose count 17.0/3.0. Average score (16.91176470588235)\n",
-            "Step 17: Win/lose count 4.0/2.0. Average score (16.083333333333332)\n",
-            "Step 18: Win/lose count 24.0/3.0. Average score (16.342105263157894)\n",
-            "Step 19: Win/lose count 19.5/4.0. Average score (16.3)\n",
-            "Step 20: Win/lose count 22.0/5.0. Average score (16.333333333333332)\n",
-            "Step 21: Win/lose count 23.0/1.0. Average score (16.59090909090909)\n",
-            "Step 22: Win/lose count 25.5/4.0. Average score (16.804347826086957)\n",
-            "Step 23: Win/lose count 26.0/2.0. Average score (17.104166666666668)\n",
-            "Step 24: Win/lose count 27.5/3.0. Average score (17.4)\n",
-            "Step 25: Win/lose count 26.5/3.0. Average score (17.634615384615383)\n",
-            "Step 26: Win/lose count 21.5/3.0. Average score (17.666666666666668)\n",
-            "Step 27: Win/lose count 21.5/1.0. Average score (17.767857142857142)\n",
-            "Step 28: Win/lose count 14.0/2.0. Average score (17.56896551724138)\n",
-            "Step 29: Win/lose count 22.5/1.0. Average score (17.7)\n",
-            "Step 30: Win/lose count 19.5/4.0. Average score (17.629032258064516)\n",
-            "Step 31: Win/lose count 14.5/2.0. Average score (17.46875)\n",
-            "Step 32: Win/lose count 19.0/0. Average score (17.515151515151516)\n",
-            "Step 33: Win/lose count 22.5/1.0. Average score (17.63235294117647)\n",
-            "Step 34: Win/lose count 21.5/4.0. Average score (17.62857142857143)\n",
-            "Step 35: Win/lose count 22.0/1.0. Average score (17.72222222222222)\n",
-            "Step 36: Win/lose count 20.5/2.0. Average score (17.743243243243242)\n",
-            "Step 37: Win/lose count 4.0/0. Average score (17.38157894736842)\n",
-            "Step 38: Win/lose count 23.5/4.0. Average score (17.435897435897434)\n",
-            "Step 39: Win/lose count 20.0/4.0. Average score (17.4)\n",
-            "Step 40: Win/lose count 23.5/3.0. Average score (17.475609756097562)\n",
-            "Step 41: Win/lose count 19.0/2.0. Average score (17.464285714285715)\n",
-            "Step 42: Win/lose count 21.5/3.0. Average score (17.488372093023255)\n",
-            "Step 43: Win/lose count 21.5/3.0. Average score (17.511363636363637)\n",
-            "Step 44: Win/lose count 20.0/4.0. Average score (17.477777777777778)\n",
-            "Step 45: Win/lose count 20.5/4.0. Average score (17.456521739130434)\n",
-            "Step 46: Win/lose count 27.0/2.0. Average score (17.617021276595743)\n",
-            "Step 47: Win/lose count 15.0/5.0. Average score (17.458333333333332)\n",
-            "Step 48: Win/lose count 26.0/3.0. Average score (17.571428571428573)\n",
-            "Step 49: Win/lose count 16.0/5.0. Average score (17.44)\n",
-            "Step 50: Win/lose count 26.5/6.0. Average score (17.5)\n",
-            "Step 51: Win/lose count 9.5/1.0. Average score (17.326923076923077)\n",
-            "Step 52: Win/lose count 31.0/4.0. Average score (17.50943396226415)\n",
-            "Step 53: Win/lose count 23.0/3.0. Average score (17.555555555555557)\n",
-            "Step 54: Win/lose count 19.5/5.0. Average score (17.5)\n",
-            "Step 55: Win/lose count 17.0/5.0. Average score (17.401785714285715)\n",
-            "Step 56: Win/lose count 18.5/3.0. Average score (17.36842105263158)\n",
-            "Step 57: Win/lose count 10.5/3.0. Average score (17.198275862068964)\n",
-            "Step 58: Win/lose count 21.5/3.0. Average score (17.220338983050848)\n",
-            "Step 59: Win/lose count 22.5/6.0. Average score (17.208333333333332)\n",
-            "Step 60: Win/lose count 18.0/0. Average score (17.221311475409838)\n",
-            "Step 61: Win/lose count 14.0/2.0. Average score (17.137096774193548)\n",
-            "Step 62: Win/lose count 22.0/4.0. Average score (17.150793650793652)\n",
-            "Step 63: Win/lose count 13.0/4.0. Average score (17.0234375)\n",
-            "Step 64: Win/lose count 21.0/9.0. Average score (16.946153846153845)\n",
-            "Step 65: Win/lose count 18.0/3.0. Average score (16.916666666666668)\n",
-            "Step 66: Win/lose count 25.5/3.0. Average score (17.0)\n",
-            "Step 67: Win/lose count 18.5/3.0. Average score (16.977941176470587)\n",
-            "Step 68: Win/lose count 13.0/1.0. Average score (16.905797101449274)\n",
-            "Step 69: Win/lose count 20.5/3.0. Average score (16.914285714285715)\n",
-            "Step 70: Win/lose count 16.0/5.0. Average score (16.830985915492956)\n",
-            "Step 71: Win/lose count 21.0/2.0. Average score (16.86111111111111)\n",
-            "Step 72: Win/lose count 12.5/1.0. Average score (16.78767123287671)\n",
-            "Step 73: Win/lose count 17.5/1.0. Average score (16.783783783783782)\n",
-            "Step 74: Win/lose count 24.0/3.0. Average score (16.84)\n",
-            "Step 75: Win/lose count 14.5/3.0. Average score (16.769736842105264)\n",
-            "Step 76: Win/lose count 21.0/2.0. Average score (16.7987012987013)\n",
-            "Step 77: Win/lose count 26.5/7.0. Average score (16.833333333333332)\n",
-            "Step 78: Win/lose count 17.0/2.0. Average score (16.810126582278482)\n",
-            "Step 79: Win/lose count 21.0/2.0. Average score (16.8375)\n",
-            "Step 80: Win/lose count 17.0/3.0. Average score (16.80246913580247)\n",
-            "Step 81: Win/lose count 19.0/5.0. Average score (16.76829268292683)\n",
-            "Step 82: Win/lose count 27.5/4.0. Average score (16.849397590361445)\n",
-            "Step 83: Win/lose count 25.0/2.0. Average score (16.922619047619047)\n",
-            "Step 84: Win/lose count 25.0/4.0. Average score (16.970588235294116)\n",
-            "Step 85: Win/lose count 21.0/1.0. Average score (17.00581395348837)\n",
-            "Step 86: Win/lose count 16.5/2.0. Average score (16.977011494252874)\n",
-            "Step 87: Win/lose count 24.5/1.0. Average score (17.051136363636363)\n",
-            "Step 88: Win/lose count 18.0/5.0. Average score (17.00561797752809)\n",
-            "Step 89: Win/lose count 25.0/4.0. Average score (17.05)\n",
-            "Step 90: Win/lose count 22.5/2.0. Average score (17.087912087912088)\n",
-            "Step 91: Win/lose count 23.5/4.0. Average score (17.11413043478261)\n",
-            "Step 92: Win/lose count 17.5/0. Average score (17.118279569892472)\n",
-            "Step 93: Win/lose count 15.0/2.0. Average score (17.074468085106382)\n",
-            "Step 94: Win/lose count 16.5/3.0. Average score (17.03684210526316)\n",
-            "Step 95: Win/lose count 25.0/3.0. Average score (17.088541666666668)\n",
-            "Step 96: Win/lose count 21.0/2.0. Average score (17.108247422680414)\n",
-            "Step 97: Win/lose count 21.5/1.0. Average score (17.142857142857142)\n",
-            "Step 98: Win/lose count 17.0/4.0. Average score (17.1010101010101)\n",
-            "Step 99: Win/lose count 23.5/3.0. Average score (17.135)\n",
-            "Step 100: Win/lose count 25.5/4.0. Average score (17.178217821782177)\n",
-            "Final score: 17.35\n"
+            "Step 1: Win/lose count 22.0/4.0. Average score (9.0)\n",
+            "Step 2: Win/lose count 25.0/12.0. Average score (10.333333333333334)\n",
+            "Step 3: Win/lose count 26.5/6.0. Average score (12.875)\n",
+            "Step 4: Win/lose count 26.0/5.0. Average score (14.5)\n",
+            "Step 5: Win/lose count 22.0/1.0. Average score (15.583333333333334)\n",
+            "Step 6: Win/lose count 22.5/5.0. Average score (15.857142857142858)\n",
+            "Step 7: Win/lose count 19.0/2.0. Average score (16.0)\n",
+            "Step 8: Win/lose count 24.0/1.0. Average score (16.77777777777778)\n",
+            "Step 9: Win/lose count 21.0/6.0. Average score (16.6)\n",
+            "Step 10: Win/lose count 18.0/3.0. Average score (16.454545454545453)\n",
+            "Step 11: Win/lose count 18.5/6.0. Average score (16.125)\n",
+            "Step 12: Win/lose count 15.0/4.0. Average score (15.73076923076923)\n",
+            "Step 13: Win/lose count 25.0/5.0. Average score (16.035714285714285)\n",
+            "Step 14: Win/lose count 21.5/10.0. Average score (15.733333333333333)\n",
+            "Step 15: Win/lose count 30.5/3.0. Average score (16.46875)\n",
+            "Step 16: Win/lose count 22.5/2.0. Average score (16.705882352941178)\n",
+            "Step 17: Win/lose count 21.0/5.0. Average score (16.666666666666668)\n",
+            "Step 18: Win/lose count 19.0/3.0. Average score (16.63157894736842)\n",
+            "Step 19: Win/lose count 21.0/1.0. Average score (16.8)\n",
+            "Step 20: Win/lose count 19.5/2.0. Average score (16.833333333333332)\n",
+            "Step 21: Win/lose count 22.5/8.0. Average score (16.727272727272727)\n",
+            "Step 22: Win/lose count 20.0/3.0. Average score (16.73913043478261)\n",
+            "Step 23: Win/lose count 19.5/3.0. Average score (16.729166666666668)\n",
+            "Step 24: Win/lose count 23.0/2.0. Average score (16.9)\n",
+            "Step 25: Win/lose count 17.5/3.0. Average score (16.807692307692307)\n",
+            "Step 26: Win/lose count 16.5/6.0. Average score (16.574074074074073)\n",
+            "Step 27: Win/lose count 14.5/3.0. Average score (16.392857142857142)\n",
+            "Step 28: Win/lose count 21.0/5.0. Average score (16.379310344827587)\n",
+            "Step 29: Win/lose count 14.0/2.0. Average score (16.233333333333334)\n",
+            "Step 30: Win/lose count 25.5/9.0. Average score (16.241935483870968)\n",
+            "Step 31: Win/lose count 20.0/4.0. Average score (16.234375)\n",
+            "Step 32: Win/lose count 16.5/2.0. Average score (16.181818181818183)\n",
+            "Step 33: Win/lose count 21.5/7.0. Average score (16.13235294117647)\n",
+            "Step 34: Win/lose count 12.5/0. Average score (16.02857142857143)\n",
+            "Step 35: Win/lose count 26.0/4.0. Average score (16.194444444444443)\n",
+            "Step 36: Win/lose count 21.5/2.0. Average score (16.283783783783782)\n",
+            "Step 37: Win/lose count 24.0/2.0. Average score (16.43421052631579)\n",
+            "Step 38: Win/lose count 20.5/6.0. Average score (16.384615384615383)\n",
+            "Step 39: Win/lose count 15.5/3.0. Average score (16.2875)\n",
+            "Step 40: Win/lose count 13.5/2.0. Average score (16.170731707317074)\n",
+            "Step 41: Win/lose count 22.5/4.0. Average score (16.226190476190474)\n",
+            "Step 42: Win/lose count 16.5/8.0. Average score (16.046511627906977)\n",
+            "Step 43: Win/lose count 19.5/6.0. Average score (15.988636363636363)\n",
+            "Step 44: Win/lose count 16.5/5.0. Average score (15.88888888888889)\n",
+            "Step 45: Win/lose count 23.5/13.0. Average score (15.771739130434783)\n",
+            "Step 46: Win/lose count 25.0/7.0. Average score (15.819148936170214)\n",
+            "Step 47: Win/lose count 4.5/0. Average score (15.583333333333334)\n",
+            "Step 48: Win/lose count 25.5/1.0. Average score (15.76530612244898)\n",
+            "Step 49: Win/lose count 25.5/2.0. Average score (15.92)\n",
+            "Step 50: Win/lose count 21.0/4.0. Average score (15.941176470588236)\n",
+            "Step 51: Win/lose count 21.5/3.0. Average score (15.990384615384615)\n",
+            "Step 52: Win/lose count 20.5/5.0. Average score (15.981132075471699)\n",
+            "Step 53: Win/lose count 19.5/4.0. Average score (15.972222222222221)\n",
+            "Step 54: Win/lose count 18.0/2.0. Average score (15.972727272727273)\n",
+            "Step 55: Win/lose count 23.5/3.0. Average score (16.053571428571427)\n",
+            "Step 56: Win/lose count 21.0/3.0. Average score (16.087719298245613)\n",
+            "Step 57: Win/lose count 14.5/3.0. Average score (16.00862068965517)\n",
+            "Step 58: Win/lose count 22.5/1.0. Average score (16.10169491525424)\n",
+            "Step 59: Win/lose count 27.5/5.0. Average score (16.208333333333332)\n",
+            "Step 60: Win/lose count 19.5/5.0. Average score (16.18032786885246)\n",
+            "Step 61: Win/lose count 24.5/2.0. Average score (16.282258064516128)\n",
+            "Step 62: Win/lose count 21.0/9.0. Average score (16.214285714285715)\n",
+            "Step 63: Win/lose count 21.5/3.0. Average score (16.25)\n",
+            "Step 64: Win/lose count 23.5/8.0. Average score (16.23846153846154)\n",
+            "Step 65: Win/lose count 26.5/4.0. Average score (16.333333333333332)\n",
+            "Step 66: Win/lose count 22.5/1.0. Average score (16.41044776119403)\n",
+            "Step 67: Win/lose count 19.0/1.0. Average score (16.433823529411764)\n",
+            "Step 68: Win/lose count 23.5/4.0. Average score (16.47826086956522)\n",
+            "Step 69: Win/lose count 14.0/7.0. Average score (16.34285714285714)\n",
+            "Step 70: Win/lose count 23.5/3.0. Average score (16.401408450704224)\n",
+            "Step 71: Win/lose count 25.0/5.0. Average score (16.45138888888889)\n",
+            "Step 72: Win/lose count 22.0/4.0. Average score (16.472602739726028)\n",
+            "Step 73: Win/lose count 25.0/8.0. Average score (16.47972972972973)\n",
+            "Step 74: Win/lose count 17.5/3.0. Average score (16.453333333333333)\n",
+            "Step 75: Win/lose count 20.5/5.0. Average score (16.44078947368421)\n",
+            "Step 76: Win/lose count 20.5/7.0. Average score (16.4025974025974)\n",
+            "Step 77: Win/lose count 25.0/5.0. Average score (16.44871794871795)\n",
+            "Step 78: Win/lose count 24.5/3.0. Average score (16.5126582278481)\n",
+            "Step 79: Win/lose count 22.5/4.0. Average score (16.5375)\n",
+            "Step 80: Win/lose count 24.0/1.0. Average score (16.617283950617285)\n",
+            "Step 81: Win/lose count 25.0/2.0. Average score (16.695121951219512)\n",
+            "Step 82: Win/lose count 22.0/3.0. Average score (16.72289156626506)\n",
+            "Step 83: Win/lose count 29.0/3.0. Average score (16.833333333333332)\n",
+            "Step 84: Win/lose count 25.5/1.0. Average score (16.923529411764704)\n",
+            "Step 85: Win/lose count 21.5/3.0. Average score (16.941860465116278)\n",
+            "Step 86: Win/lose count 23.0/5.0. Average score (16.95402298850575)\n",
+            "Step 87: Win/lose count 23.5/2.0. Average score (17.005681818181817)\n",
+            "Step 88: Win/lose count 22.5/6.0. Average score (17.0)\n",
+            "Step 89: Win/lose count 29.0/4.0. Average score (17.08888888888889)\n",
+            "Step 90: Win/lose count 24.5/0. Average score (17.17032967032967)\n",
+            "Step 91: Win/lose count 22.0/3.0. Average score (17.190217391304348)\n",
+            "Step 92: Win/lose count 25.5/5.0. Average score (17.225806451612904)\n",
+            "Step 93: Win/lose count 17.5/1.0. Average score (17.21808510638298)\n",
+            "Step 94: Win/lose count 22.0/2.0. Average score (17.24736842105263)\n",
+            "Step 95: Win/lose count 23.0/6.0. Average score (17.244791666666668)\n",
+            "Step 96: Win/lose count 22.0/6.0. Average score (17.2319587628866)\n",
+            "Step 97: Win/lose count 13.5/3.0. Average score (17.163265306122447)\n",
+            "Step 98: Win/lose count 19.5/2.0. Average score (17.166666666666668)\n",
+            "Step 99: Win/lose count 23.5/3.0. Average score (17.2)\n",
+            "Step 100: Win/lose count 31.5/3.0. Average score (17.31188118811881)\n",
+            "Final score: 17.485\n"
           ],
           "name": "stdout"
         }
@@ -2699,18 +4939,18 @@
           "base_uri": "https://localhost:8080/",
           "height": 349
         },
-        "outputId": "5dcd494b-ed3b-4822-8cfa-78827cda332d"
+        "outputId": "0c2849a1-587c-4b4c-9198-eea897b01992"
       },
       "cell_type": "code",
       "source": [
         "visualization_score(history_cnn)"
       ],
-      "execution_count": 47,
+      "execution_count": 72,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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Hh9mzZ+Pv7+/McEVERERERERE5AY5rahUXFzMK6+8Qrdu3Sra3nrrrYqvp02bxqhRowAI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XM3LkSNasWUP//v3p1KkTM2bMoKCgAIvFQkpKCtOnT6eoqIiEhAT69+9PYmIi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\nCFdsnwAAAABJRU5ErkJggg==\n",
             "text/plain": [
               "<Figure size 1440x360 with 2 Axes>"
             ]
@@ -2729,20 +4969,20 @@
           "base_uri": "https://localhost:8080/",
           "height": 293
         },
-        "outputId": "3607cad3-ad49-488e-d28f-f07244ba8d41"
+        "outputId": "2d29074d-b314-4b48-e380-ec9bbfa1d476"
       },
       "cell_type": "code",
       "source": [
         "HTML(display_videos('cnn_test_explore10.mp4'))"
       ],
-      "execution_count": 48,
+      "execution_count": 73,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/html": [
               "<video alt=\"test\" controls>\n",
-              "                <source 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+              "                <source 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type=\"video/mp4\" />\n",
               "             </video>"
             ],
             "text/plain": [
@@ -2752,10 +4992,24 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 48
+          "execution_count": 73
         }
       ]
     },
+    {
+      "metadata": {
+        "id": "SNOpUCshQesH",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Conclusion**:\n",
+        "\n",
+        "With these two good ideas (incorporating a decreasing $\\epsilon$-greedy exploration and adding via the environment a new state that describes if a cell has been visited or not in order to encourage exploration), we see that the training are better and that during the test step, the agent obtains a great performance (score = 17.485).\n",
+        "\n",
+        "When we see the behavior of the agent, we see that it try to explore better the environment and so is not blocked in cycles."
+      ]
+    },
     {
       "metadata": {
         "id": "NS29b7wqgDPR",