diff --git a/Aufgabe 5/aufgabe05.ipynb b/Aufgabe 5/aufgabe05.ipynb
index 5b6984e..107c60b 100644
--- a/Aufgabe 5/aufgabe05.ipynb	
+++ b/Aufgabe 5/aufgabe05.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,52 +137,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "episode  0 score 24.00 average score 24.00\n",
-      "episode  1 score 16.00 average score 20.00\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 873us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  2 score 26.00 average score 22.00\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 980us/step\n",
+      "episode  0 score 15.00 average score 15.00\n",
+      "episode  1 score 13.00 average score 14.00\n",
+      "episode  2 score 14.00 average score 14.00\n",
+      "episode  3 score 13.00 average score 13.75\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
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-      "1/1 [==============================] - 0s 25ms/step\n",
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-      "2/2 [==============================] - 0s 923us/step\n",
+      "2/2 [==============================] - 0s 991us/step\n",
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@@ -190,1159 +162,372 @@
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 2ms/step\n",
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-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  3 score 23.00 average score 22.25\n",
-      "2/2 [==============================] - 0s 872us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "episode  4 score 23.00 average score 22.40\n",
-      "2/2 [==============================] - 0s 864us/step\n",
-      "2/2 [==============================] - 0s 918us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 965us/step\n",
+      "episode  4 score 15.00 average score 14.00\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
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-      "episode  5 score 12.00 average score 20.67\n",
-      "2/2 [==============================] - 0s 818us/step\n",
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-      "2/2 [==============================] - 0s 886us/step\n",
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-      "episode  6 score 27.00 average score 21.57\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "episode  7 score 47.00 average score 24.75\n",
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-      "episode  8 score 9.00 average score 23.00\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
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-      "2/2 [==============================] - 0s 888us/step\n",
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-      "episode  9 score 19.00 average score 22.60\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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       "2/2 [==============================] - 0s 1ms/step\n",
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-      "2/2 [==============================] - 0s 964us/step\n",
-      "2/2 [==============================] - 0s 964us/step\n",
-      "episode  10 score 17.00 average score 22.09\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
+      "1/1 [==============================] - 0s 23ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
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-      "2/2 [==============================] - 0s 890us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  11 score 9.00 average score 21.00\n",
-      "2/2 [==============================] - 0s 962us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  12 score 13.00 average score 20.38\n",
-      "1/1 [==============================] - 0s 10ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 946us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  13 score 10.00 average score 19.64\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 814us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 990us/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 979us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 801us/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 985us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 896us/step\n",
-      "episode  14 score 8.00 average score 18.87\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 825us/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 914us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "episode  15 score 12.00 average score 18.44\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 811us/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 950us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 880us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  16 score 9.00 average score 17.88\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "episode  17 score 31.00 average score 18.61\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 977us/step\n",
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+      "2/2 [==============================] - 0s 994us/step\n",
       "1/1 [==============================] - 0s 10ms/step\n",
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-      "2/2 [==============================] - 0s 984us/step\n",
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       "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 792us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  18 score 58.00 average score 20.68\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 898us/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 980us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 873us/step\n",
-      "2/2 [==============================] - 0s 898us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 952us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "episode  19 score 39.00 average score 21.60\n",
-      "2/2 [==============================] - 0s 779us/step\n",
-      "2/2 [==============================] - 0s 826us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 991us/step\n",
       "2/2 [==============================] - 0s 855us/step\n",
-      "2/2 [==============================] - 0s 808us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 973us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 974us/step\n",
+      "2/2 [==============================] - 0s 786us/step\n",
+      "2/2 [==============================] - 0s 822us/step\n",
+      "2/2 [==============================] - 0s 951us/step\n",
+      "2/2 [==============================] - 0s 821us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 833us/step\n",
+      "2/2 [==============================] - 0s 876us/step\n",
       "2/2 [==============================] - 0s 927us/step\n",
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       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 813us/step\n",
-      "episode  20 score 29.00 average score 21.95\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 905us/step\n",
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+      "2/2 [==============================] - 0s 955us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 935us/step\n",
+      "2/2 [==============================] - 0s 974us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 924us/step\n",
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+      "2/2 [==============================] - 0s 989us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 993us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 911us/step\n",
+      "2/2 [==============================] - 0s 931us/step\n",
+      "2/2 [==============================] - 0s 973us/step\n",
+      "2/2 [==============================] - 0s 999us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 11ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 948us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 996us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  5 score 47.00 average score 19.50\n",
+      "2/2 [==============================] - 0s 926us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 895us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 984us/step\n",
+      "2/2 [==============================] - 0s 937us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 970us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 932us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 876us/step\n",
+      "2/2 [==============================] - 0s 911us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 938us/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 956us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  6 score 13.00 average score 18.57\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 812us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 983us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 878us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 923us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 999us/step\n",
+      "2/2 [==============================] - 0s 849us/step\n",
+      "2/2 [==============================] - 0s 820us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 878us/step\n",
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+      "2/2 [==============================] - 0s 979us/step\n",
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+      "2/2 [==============================] - 0s 835us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 966us/step\n",
+      "2/2 [==============================] - 0s 977us/step\n",
+      "episode  7 score 15.00 average score 18.12\n",
+      "2/2 [==============================] - 0s 960us/step\n",
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-      "2/2 [==============================] - 0s 980us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 998us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 881us/step\n",
+      "episode  8 score 15.00 average score 17.78\n",
+      "2/2 [==============================] - 0s 834us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 867us/step\n",
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+      "2/2 [==============================] - 0s 946us/step\n",
+      "2/2 [==============================] - 0s 935us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 860us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1000us/step\n",
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+      "2/2 [==============================] - 0s 995us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 963us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  9 score 11.00 average score 17.10\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 949us/step\n",
+      "2/2 [==============================] - 0s 933us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 882us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 865us/step\n",
+      "2/2 [==============================] - 0s 938us/step\n",
+      "episode  10 score 9.00 average score 16.36\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 905us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 828us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  11 score 9.00 average score 15.75\n",
       "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 904us/step\n",
+      "episode  12 score 10.00 average score 15.31\n",
       "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  13 score 22.00 average score 15.79\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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-      "episode  21 score 60.00 average score 23.68\n",
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@@ -1350,108 +535,406 @@
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 859us/step\n",
+      "2/2 [==============================] - 0s 938us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 931us/step\n",
+      "2/2 [==============================] - 0s 984us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 888us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 898us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 861us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 969us/step\n",
+      "2/2 [==============================] - 0s 998us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 916us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 976us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 967us/step\n",
+      "2/2 [==============================] - 0s 926us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 828us/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 893us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 918us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 941us/step\n",
+      "2/2 [==============================] - 0s 855us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 981us/step\n",
+      "episode  14 score 42.00 average score 17.53\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 894us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 978us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 937us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 953us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 897us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 795us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 866us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 849us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 896us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  15 score 12.00 average score 17.19\n",
+      "2/2 [==============================] - 0s 965us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 909us/step\n",
+      "2/2 [==============================] - 0s 977us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 929us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 962us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 965us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 993us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 999us/step\n",
+      "2/2 [==============================] - 0s 999us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 885us/step\n",
+      "2/2 [==============================] - 0s 932us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 865us/step\n",
+      "2/2 [==============================] - 0s 979us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 906us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 983us/step\n",
+      "2/2 [==============================] - 0s 814us/step\n",
+      "2/2 [==============================] - 0s 862us/step\n",
+      "2/2 [==============================] - 0s 944us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 948us/step\n",
+      "2/2 [==============================] - 0s 933us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 894us/step\n",
+      "2/2 [==============================] - 0s 854us/step\n",
+      "2/2 [==============================] - 0s 984us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 14ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 984us/step\n",
+      "2/2 [==============================] - 0s 976us/step\n",
+      "2/2 [==============================] - 0s 894us/step\n",
+      "2/2 [==============================] - 0s 870us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 990us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 869us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 931us/step\n",
+      "2/2 [==============================] - 0s 794us/step\n",
+      "2/2 [==============================] - 0s 962us/step\n",
+      "episode  16 score 32.00 average score 18.06\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 977us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 864us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 979us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 979us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 812us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 819us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 900us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 815us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 944us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 911us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 864us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 837us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 838us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 960us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 957us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 954us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 964us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 982us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 953us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  17 score 22.00 average score 18.28\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 878us/step\n",
+      "2/2 [==============================] - 0s 885us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 894us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 949us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 909us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 987us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 993us/step\n",
+      "2/2 [==============================] - 0s 907us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 938us/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 920us/step\n",
+      "2/2 [==============================] - 0s 878us/step\n",
+      "2/2 [==============================] - 0s 901us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 839us/step\n",
-      "2/2 [==============================] - 0s 880us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 805us/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 969us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 980us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 995us/step\n",
+      "2/2 [==============================] - 0s 983us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 984us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 978us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 979us/step\n",
+      "2/2 [==============================] - 0s 837us/step\n",
+      "episode  18 score 18.00 average score 18.26\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 916us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 965us/step\n",
+      "2/2 [==============================] - 0s 959us/step\n",
+      "2/2 [==============================] - 0s 957us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 822us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 863us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 912us/step\n",
+      "2/2 [==============================] - 0s 968us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 808us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 968us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  19 score 13.00 average score 18.00\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 980us/step\n",
+      "2/2 [==============================] - 0s 844us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 892us/step\n",
+      "2/2 [==============================] - 0s 813us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 972us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 925us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 859us/step\n",
-      "2/2 [==============================] - 0s 916us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 2ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 2ms/step\n",
-      "2/2 [==============================] - 0s 807us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 881us/step\n",
-      "2/2 [==============================] - 0s 987us/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 955us/step\n",
-      "2/2 [==============================] - 0s 968us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 2ms/step\n",
-      "2/2 [==============================] - 0s 850us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 950us/step\n",
-      "2/2 [==============================] - 0s 964us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
-      "2/2 [==============================] - 0s 969us/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 1ms/step\n",
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@@ -1459,34 +942,185 @@
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+      "2/2 [==============================] - 0s 889us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 845us/step\n",
+      "2/2 [==============================] - 0s 988us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 975us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 980us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 885us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 929us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 938us/step\n",
+      "2/2 [==============================] - 0s 959us/step\n",
+      "episode  20 score 38.00 average score 18.95\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 999us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 875us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 870us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 844us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
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-      "2/2 [==============================] - 0s 940us/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
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       "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 977us/step\n",
+      "2/2 [==============================] - 0s 961us/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
       "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 952us/step\n",
-      "2/2 [==============================] - 0s 892us/step\n",
-      "episode  22 score 52.00 average score 24.91\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
-      "2/2 [==============================] - 0s 998us/step\n",
       "2/2 [==============================] - 0s 1ms/step\n",
-      "1/1 [==============================] - 0s 9ms/step\n",
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-      "2/2 [==============================] - 0s 866us/step\n",
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+      "2/2 [==============================] - 0s 922us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 944us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 816us/step\n",
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@@ -1496,20 +1130,4160 @@
       "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 922us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 917us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 891us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 913us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 978us/step\n",
+      "2/2 [==============================] - 0s 931us/step\n",
+      "2/2 [==============================] - 0s 820us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 994us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 930us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 918us/step\n",
+      "2/2 [==============================] - 0s 823us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 956us/step\n",
+      "2/2 [==============================] - 0s 819us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 886us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 906us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 899us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  21 score 88.00 average score 22.09\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 955us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 886us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 820us/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  22 score 86.00 average score 24.87\n",
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+      "2/2 [==============================] - 0s 981us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 925us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 965us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 966us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 993us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 987us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 997us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 995us/step\n",
+      "episode  23 score 109.00 average score 28.38\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 995us/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 959us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 3ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  24 score 30.00 average score 28.44\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 871us/step\n",
+      "episode  25 score 186.00 average score 34.50\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "episode  26 score 242.00 average score 42.19\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 954us/step\n",
+      "2/2 [==============================] - 0s 860us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 961us/step\n",
+      "2/2 [==============================] - 0s 963us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 990us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 978us/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  27 score 160.00 average score 46.39\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 964us/step\n",
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+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 947us/step\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  28 score 116.00 average score 48.79\n",
+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 924us/step\n",
+      "2/2 [==============================] - 0s 973us/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 11ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 11ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "1/1 [==============================] - 0s 9ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 985us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 982us/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 11ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 12ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 929us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  29 score 138.00 average score 51.77\n",
+      "1/1 [==============================] - 0s 12ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 2ms/step\n",
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+      "1/1 [==============================] - 0s 11ms/step\n",
+      "2/2 [==============================] - 0s 924us/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "1/1 [==============================] - 0s 10ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
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+      "2/2 [==============================] - 0s 1ms/step\n",
+      "2/2 [==============================] - 0s 1ms/step\n",
+      "episode  30 score 164.00 average score 55.39\n",
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+      "1/1 [==============================] - 0s 9ms/step\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[8], line 18\u001b[0m\n\u001b[1;32m     16\u001b[0m     agent\u001b[39m.\u001b[39mremember(observation, action, reward, observation_, done)\n\u001b[1;32m     17\u001b[0m     observation \u001b[39m=\u001b[39m observation_\n\u001b[0;32m---> 18\u001b[0m     agent\u001b[39m.\u001b[39;49mlearn()\n\u001b[1;32m     20\u001b[0m eps_history\u001b[39m.\u001b[39mappend(agent\u001b[39m.\u001b[39mepsilon)\n\u001b[1;32m     21\u001b[0m scores\u001b[39m.\u001b[39mappend(score)\n",
+      "Cell \u001b[0;32mIn[5], line 37\u001b[0m, in \u001b[0;36mAgent.learn\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     34\u001b[0m action_values \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39maction_space, dtype\u001b[39m=\u001b[39mnp\u001b[39m.\u001b[39mint8)\n\u001b[1;32m     35\u001b[0m action_indices \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mdot(action, action_values)\n\u001b[0;32m---> 37\u001b[0m q_eval \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mq_eval\u001b[39m.\u001b[39;49mpredict(state)\n\u001b[1;32m     38\u001b[0m q_next \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mq_eval\u001b[39m.\u001b[39mpredict(new_state)\n\u001b[1;32m     40\u001b[0m q_target \u001b[39m=\u001b[39m q_eval\u001b[39m.\u001b[39mcopy()\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py:65\u001b[0m, in \u001b[0;36mfilter_traceback.<locals>.error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     63\u001b[0m filtered_tb \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m     64\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m---> 65\u001b[0m     \u001b[39mreturn\u001b[39;00m fn(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m     66\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[1;32m     67\u001b[0m     filtered_tb \u001b[39m=\u001b[39m _process_traceback_frames(e\u001b[39m.\u001b[39m__traceback__)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/engine/training.py:2521\u001b[0m, in \u001b[0;36mModel.predict\u001b[0;34m(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m   2512\u001b[0m     \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m:\n\u001b[1;32m   2513\u001b[0m         warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m   2514\u001b[0m             \u001b[39m\"\u001b[39m\u001b[39mUsing Model.predict with MultiWorkerMirroredStrategy \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m   2515\u001b[0m             \u001b[39m\"\u001b[39m\u001b[39mor TPUStrategy and AutoShardPolicy.FILE might lead to \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   2518\u001b[0m             stacklevel\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m,\n\u001b[1;32m   2519\u001b[0m         )\n\u001b[0;32m-> 2521\u001b[0m data_handler \u001b[39m=\u001b[39m data_adapter\u001b[39m.\u001b[39;49mget_data_handler(\n\u001b[1;32m   2522\u001b[0m     x\u001b[39m=\u001b[39;49mx,\n\u001b[1;32m   2523\u001b[0m     batch_size\u001b[39m=\u001b[39;49mbatch_size,\n\u001b[1;32m   2524\u001b[0m     steps_per_epoch\u001b[39m=\u001b[39;49msteps,\n\u001b[1;32m   2525\u001b[0m     initial_epoch\u001b[39m=\u001b[39;49m\u001b[39m0\u001b[39;49m,\n\u001b[1;32m   2526\u001b[0m     epochs\u001b[39m=\u001b[39;49m\u001b[39m1\u001b[39;49m,\n\u001b[1;32m   2527\u001b[0m     max_queue_size\u001b[39m=\u001b[39;49mmax_queue_size,\n\u001b[1;32m   2528\u001b[0m     workers\u001b[39m=\u001b[39;49mworkers,\n\u001b[1;32m   2529\u001b[0m     use_multiprocessing\u001b[39m=\u001b[39;49muse_multiprocessing,\n\u001b[1;32m   2530\u001b[0m     model\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m,\n\u001b[1;32m   2531\u001b[0m     steps_per_execution\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_steps_per_execution,\n\u001b[1;32m   2532\u001b[0m )\n\u001b[1;32m   2534\u001b[0m \u001b[39m# Container that configures and calls `tf.keras.Callback`s.\u001b[39;00m\n\u001b[1;32m   2535\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(callbacks, callbacks_module\u001b[39m.\u001b[39mCallbackList):\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/engine/data_adapter.py:1678\u001b[0m, in \u001b[0;36mget_data_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1676\u001b[0m         \u001b[39mreturn\u001b[39;00m _ClusterCoordinatorExactEvalDataHandler(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[1;32m   1677\u001b[0m     \u001b[39mreturn\u001b[39;00m _ClusterCoordinatorDataHandler(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m-> 1678\u001b[0m \u001b[39mreturn\u001b[39;00m DataHandler(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/engine/data_adapter.py:1285\u001b[0m, in \u001b[0;36mDataHandler.__init__\u001b[0;34m(self, x, y, sample_weight, batch_size, steps_per_epoch, initial_epoch, epochs, shuffle, class_weight, max_queue_size, workers, use_multiprocessing, model, steps_per_execution, distribute, pss_evaluation_shards)\u001b[0m\n\u001b[1;32m   1282\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_steps_per_execution \u001b[39m=\u001b[39m steps_per_execution\n\u001b[1;32m   1284\u001b[0m adapter_cls \u001b[39m=\u001b[39m select_data_adapter(x, y)\n\u001b[0;32m-> 1285\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_adapter \u001b[39m=\u001b[39m adapter_cls(\n\u001b[1;32m   1286\u001b[0m     x,\n\u001b[1;32m   1287\u001b[0m     y,\n\u001b[1;32m   1288\u001b[0m     batch_size\u001b[39m=\u001b[39;49mbatch_size,\n\u001b[1;32m   1289\u001b[0m     steps\u001b[39m=\u001b[39;49msteps_per_epoch,\n\u001b[1;32m   1290\u001b[0m     epochs\u001b[39m=\u001b[39;49mepochs \u001b[39m-\u001b[39;49m initial_epoch,\n\u001b[1;32m   1291\u001b[0m     sample_weights\u001b[39m=\u001b[39;49msample_weight,\n\u001b[1;32m   1292\u001b[0m     shuffle\u001b[39m=\u001b[39;49mshuffle,\n\u001b[1;32m   1293\u001b[0m     max_queue_size\u001b[39m=\u001b[39;49mmax_queue_size,\n\u001b[1;32m   1294\u001b[0m     workers\u001b[39m=\u001b[39;49mworkers,\n\u001b[1;32m   1295\u001b[0m     use_multiprocessing\u001b[39m=\u001b[39;49muse_multiprocessing,\n\u001b[1;32m   1296\u001b[0m     distribution_strategy\u001b[39m=\u001b[39;49mtf\u001b[39m.\u001b[39;49mdistribute\u001b[39m.\u001b[39;49mget_strategy(),\n\u001b[1;32m   1297\u001b[0m     model\u001b[39m=\u001b[39;49mmodel,\n\u001b[1;32m   1298\u001b[0m     pss_evaluation_shards\u001b[39m=\u001b[39;49mpss_evaluation_shards,\n\u001b[1;32m   1299\u001b[0m )\n\u001b[1;32m   1301\u001b[0m strategy \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39mdistribute\u001b[39m.\u001b[39mget_strategy()\n\u001b[1;32m   1303\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_current_step \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/engine/data_adapter.py:353\u001b[0m, in \u001b[0;36mTensorLikeDataAdapter.__init__\u001b[0;34m(self, x, y, sample_weights, sample_weight_modes, batch_size, epochs, steps, shuffle, **kwargs)\u001b[0m\n\u001b[1;32m    350\u001b[0m         flat_dataset \u001b[39m=\u001b[39m flat_dataset\u001b[39m.\u001b[39mshuffle(\u001b[39m1024\u001b[39m)\u001b[39m.\u001b[39mrepeat(epochs)\n\u001b[1;32m    351\u001b[0m     \u001b[39mreturn\u001b[39;00m flat_dataset\n\u001b[0;32m--> 353\u001b[0m indices_dataset \u001b[39m=\u001b[39m indices_dataset\u001b[39m.\u001b[39;49mflat_map(slice_batch_indices)\n\u001b[1;32m    355\u001b[0m dataset \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mslice_inputs(indices_dataset, inputs)\n\u001b[1;32m    357\u001b[0m \u001b[39mif\u001b[39;00m shuffle \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mbatch\u001b[39m\u001b[39m\"\u001b[39m:\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/dataset_ops.py:2323\u001b[0m, in \u001b[0;36mDatasetV2.flat_map\u001b[0;34m(self, map_func, name)\u001b[0m\n\u001b[1;32m   2319\u001b[0m \u001b[39m# Loaded lazily due to a circular dependency (dataset_ops -> flat_map_op ->\u001b[39;00m\n\u001b[1;32m   2320\u001b[0m \u001b[39m# dataset_ops).\u001b[39;00m\n\u001b[1;32m   2321\u001b[0m \u001b[39m# pylint: disable=g-import-not-at-top,protected-access\u001b[39;00m\n\u001b[1;32m   2322\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdata\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mops\u001b[39;00m \u001b[39mimport\u001b[39;00m flat_map_op\n\u001b[0;32m-> 2323\u001b[0m \u001b[39mreturn\u001b[39;00m flat_map_op\u001b[39m.\u001b[39;49m_flat_map(\u001b[39mself\u001b[39;49m, map_func, name\u001b[39m=\u001b[39;49mname)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/flat_map_op.py:24\u001b[0m, in \u001b[0;36m_flat_map\u001b[0;34m(input_dataset, map_func, name)\u001b[0m\n\u001b[1;32m     22\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_flat_map\u001b[39m(input_dataset, map_func, name\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):  \u001b[39m# pylint: disable=unused-private-name\u001b[39;00m\n\u001b[1;32m     23\u001b[0m \u001b[39m  \u001b[39m\u001b[39m\"\"\"See `Dataset.flat_map()` for details.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 24\u001b[0m   \u001b[39mreturn\u001b[39;00m _FlatMapDataset(input_dataset, map_func, name)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/flat_map_op.py:33\u001b[0m, in \u001b[0;36m_FlatMapDataset.__init__\u001b[0;34m(self, input_dataset, map_func, name)\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__init__\u001b[39m(\u001b[39mself\u001b[39m, input_dataset, map_func, name\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m     32\u001b[0m   \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_input_dataset \u001b[39m=\u001b[39m input_dataset\n\u001b[0;32m---> 33\u001b[0m   \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_map_func \u001b[39m=\u001b[39m structured_function\u001b[39m.\u001b[39;49mStructuredFunctionWrapper(\n\u001b[1;32m     34\u001b[0m       map_func, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_transformation_name(), dataset\u001b[39m=\u001b[39;49minput_dataset)\n\u001b[1;32m     35\u001b[0m   \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_map_func\u001b[39m.\u001b[39moutput_structure, dataset_ops\u001b[39m.\u001b[39mDatasetSpec):\n\u001b[1;32m     36\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mTypeError\u001b[39;00m(\n\u001b[1;32m     37\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mThe `map_func` argument must return a `Dataset` object. Got \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m     38\u001b[0m         \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00mdataset_ops\u001b[39m.\u001b[39mget_type(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_map_func\u001b[39m.\u001b[39moutput_structure)\u001b[39m!r}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:272\u001b[0m, in \u001b[0;36mStructuredFunctionWrapper.__init__\u001b[0;34m(self, func, transformation_name, dataset, input_classes, input_shapes, input_types, input_structure, add_to_graph, use_legacy_function, defun_kwargs)\u001b[0m\n\u001b[1;32m    265\u001b[0m       warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m    266\u001b[0m           \u001b[39m\"\u001b[39m\u001b[39mEven though the `tf.config.experimental_run_functions_eagerly` \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    267\u001b[0m           \u001b[39m\"\u001b[39m\u001b[39moption is set, this option does not apply to tf.data functions. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    268\u001b[0m           \u001b[39m\"\u001b[39m\u001b[39mTo force eager execution of tf.data functions, please use \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    269\u001b[0m           \u001b[39m\"\u001b[39m\u001b[39m`tf.data.experimental.enable_debug_mode()`.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    270\u001b[0m     fn_factory \u001b[39m=\u001b[39m trace_tf_function(defun_kwargs)\n\u001b[0;32m--> 272\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_function \u001b[39m=\u001b[39m fn_factory()\n\u001b[1;32m    273\u001b[0m \u001b[39m# There is no graph to add in eager mode.\u001b[39;00m\n\u001b[1;32m    274\u001b[0m add_to_graph \u001b[39m&\u001b[39m\u001b[39m=\u001b[39m \u001b[39mnot\u001b[39;00m context\u001b[39m.\u001b[39mexecuting_eagerly()\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:1189\u001b[0m, in \u001b[0;36mFunction.get_concrete_function\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1187\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_concrete_function\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[1;32m   1188\u001b[0m   \u001b[39m# Implements GenericFunction.get_concrete_function.\u001b[39;00m\n\u001b[0;32m-> 1189\u001b[0m   concrete \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_concrete_function_garbage_collected(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m   1190\u001b[0m   concrete\u001b[39m.\u001b[39m_garbage_collector\u001b[39m.\u001b[39mrelease()  \u001b[39m# pylint: disable=protected-access\u001b[39;00m\n\u001b[1;32m   1191\u001b[0m   \u001b[39mreturn\u001b[39;00m concrete\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:1169\u001b[0m, in \u001b[0;36mFunction._get_concrete_function_garbage_collected\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1167\u001b[0m   \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_variable_creation_fn \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m   1168\u001b[0m     initializers \u001b[39m=\u001b[39m []\n\u001b[0;32m-> 1169\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_initialize(args, kwargs, add_initializers_to\u001b[39m=\u001b[39;49minitializers)\n\u001b[1;32m   1170\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_initialize_uninitialized_variables(initializers)\n\u001b[1;32m   1172\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_created_variables:\n\u001b[1;32m   1173\u001b[0m   \u001b[39m# In this case we have created variables on the first call, so we run the\u001b[39;00m\n\u001b[1;32m   1174\u001b[0m   \u001b[39m# version which is guaranteed to never create variables.\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:694\u001b[0m, in \u001b[0;36mFunction._initialize\u001b[0;34m(self, args, kwds, add_initializers_to)\u001b[0m\n\u001b[1;32m    691\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_variable_creation_fn\u001b[39m.\u001b[39m_name \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_name  \u001b[39m# pylint: disable=protected-access\u001b[39;00m\n\u001b[1;32m    692\u001b[0m \u001b[39m# Force the definition of the function for these arguments\u001b[39;00m\n\u001b[1;32m    693\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_concrete_variable_creation_fn \u001b[39m=\u001b[39m (\n\u001b[0;32m--> 694\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_variable_creation_fn    \u001b[39m# pylint: disable=protected-access\u001b[39;49;00m\n\u001b[1;32m    695\u001b[0m     \u001b[39m.\u001b[39;49m_get_concrete_function_internal_garbage_collected(\n\u001b[1;32m    696\u001b[0m         \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwds))\n\u001b[1;32m    698\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39minvalid_creator_scope\u001b[39m(\u001b[39m*\u001b[39munused_args, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39munused_kwds):\n\u001b[1;32m    699\u001b[0m \u001b[39m  \u001b[39m\u001b[39m\"\"\"Disables variable creation.\"\"\"\u001b[39;00m\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compiler.py:176\u001b[0m, in \u001b[0;36mTracingCompiler._get_concrete_function_internal_garbage_collected\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    174\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Returns a concrete function which cleans up its graph function.\"\"\"\u001b[39;00m\n\u001b[1;32m    175\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_lock:\n\u001b[0;32m--> 176\u001b[0m   concrete_function, _ \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_maybe_define_concrete_function(args, kwargs)\n\u001b[1;32m    177\u001b[0m \u001b[39mreturn\u001b[39;00m concrete_function\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compiler.py:171\u001b[0m, in \u001b[0;36mTracingCompiler._maybe_define_concrete_function\u001b[0;34m(self, args, kwargs)\u001b[0m\n\u001b[1;32m    168\u001b[0m   args \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39minput_signature\n\u001b[1;32m    169\u001b[0m   kwargs \u001b[39m=\u001b[39m {}\n\u001b[0;32m--> 171\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_maybe_define_function(args, kwargs)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compiler.py:398\u001b[0m, in \u001b[0;36mTracingCompiler._maybe_define_function\u001b[0;34m(self, args, kwargs)\u001b[0m\n\u001b[1;32m    395\u001b[0m args \u001b[39m=\u001b[39m placeholder_bound_args\u001b[39m.\u001b[39margs\n\u001b[1;32m    396\u001b[0m kwargs \u001b[39m=\u001b[39m placeholder_bound_args\u001b[39m.\u001b[39mkwargs\n\u001b[0;32m--> 398\u001b[0m concrete_function \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_create_concrete_function(\n\u001b[1;32m    399\u001b[0m     args, kwargs, func_graph)\n\u001b[1;32m    401\u001b[0m \u001b[39m# TODO(b/263520817): Remove access to private attribute.\u001b[39;00m\n\u001b[1;32m    402\u001b[0m graph_capture_container \u001b[39m=\u001b[39m concrete_function\u001b[39m.\u001b[39mgraph\u001b[39m.\u001b[39mfunction_captures\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/tracing_compiler.py:305\u001b[0m, in \u001b[0;36mTracingCompiler._create_concrete_function\u001b[0;34m(self, args, kwargs, func_graph)\u001b[0m\n\u001b[1;32m    301\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    302\u001b[0m   arg_names \u001b[39m=\u001b[39m base_arg_names\n\u001b[1;32m    304\u001b[0m concrete_function \u001b[39m=\u001b[39m monomorphic_function\u001b[39m.\u001b[39mConcreteFunction(\n\u001b[0;32m--> 305\u001b[0m     func_graph_module\u001b[39m.\u001b[39;49mfunc_graph_from_py_func(\n\u001b[1;32m    306\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_name,\n\u001b[1;32m    307\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_python_function,\n\u001b[1;32m    308\u001b[0m         args,\n\u001b[1;32m    309\u001b[0m         kwargs,\n\u001b[1;32m    310\u001b[0m         \u001b[39mNone\u001b[39;49;00m,\n\u001b[1;32m    311\u001b[0m         func_graph\u001b[39m=\u001b[39;49mfunc_graph,\n\u001b[1;32m    312\u001b[0m         arg_names\u001b[39m=\u001b[39;49marg_names,\n\u001b[1;32m    313\u001b[0m         capture_by_value\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_capture_by_value,\n\u001b[1;32m    314\u001b[0m         create_placeholders\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m),\n\u001b[1;32m    315\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_function_attributes,\n\u001b[1;32m    316\u001b[0m     spec\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunction_spec,\n\u001b[1;32m    317\u001b[0m     \u001b[39m# Tell the ConcreteFunction to clean up its graph once it goes out of\u001b[39;00m\n\u001b[1;32m    318\u001b[0m     \u001b[39m# scope. This is not the default behavior since it gets used in some\u001b[39;00m\n\u001b[1;32m    319\u001b[0m     \u001b[39m# places (like Keras) where the FuncGraph lives longer than the\u001b[39;00m\n\u001b[1;32m    320\u001b[0m     \u001b[39m# ConcreteFunction.\u001b[39;00m\n\u001b[1;32m    321\u001b[0m     shared_func_graph\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[1;32m    322\u001b[0m \u001b[39mreturn\u001b[39;00m concrete_function\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/framework/func_graph.py:1055\u001b[0m, in \u001b[0;36mfunc_graph_from_py_func\u001b[0;34m(name, python_func, args, kwargs, signature, func_graph, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, create_placeholders)\u001b[0m\n\u001b[1;32m   1052\u001b[0m   \u001b[39mreturn\u001b[39;00m x\n\u001b[1;32m   1054\u001b[0m _, original_func \u001b[39m=\u001b[39m tf_decorator\u001b[39m.\u001b[39munwrap(python_func)\n\u001b[0;32m-> 1055\u001b[0m func_outputs \u001b[39m=\u001b[39m python_func(\u001b[39m*\u001b[39;49mfunc_args, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mfunc_kwargs)\n\u001b[1;32m   1057\u001b[0m \u001b[39m# invariant: `func_outputs` contains only Tensors, CompositeTensors,\u001b[39;00m\n\u001b[1;32m   1058\u001b[0m \u001b[39m# TensorArrays and `None`s.\u001b[39;00m\n\u001b[1;32m   1059\u001b[0m func_outputs \u001b[39m=\u001b[39m variable_utils\u001b[39m.\u001b[39mconvert_variables_to_tensors(func_outputs)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py:597\u001b[0m, in \u001b[0;36mFunction._compiler_with_scope.<locals>.wrapped_fn\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    593\u001b[0m \u001b[39mwith\u001b[39;00m default_graph\u001b[39m.\u001b[39m_variable_creator_scope(scope, priority\u001b[39m=\u001b[39m\u001b[39m50\u001b[39m):  \u001b[39m# pylint: disable=protected-access\u001b[39;00m\n\u001b[1;32m    594\u001b[0m   \u001b[39m# __wrapped__ allows AutoGraph to swap in a converted function. We give\u001b[39;00m\n\u001b[1;32m    595\u001b[0m   \u001b[39m# the function a weak reference to itself to avoid a reference cycle.\u001b[39;00m\n\u001b[1;32m    596\u001b[0m   \u001b[39mwith\u001b[39;00m OptionalXlaContext(compile_with_xla):\n\u001b[0;32m--> 597\u001b[0m     out \u001b[39m=\u001b[39m weak_wrapped_fn()\u001b[39m.\u001b[39;49m__wrapped__(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwds)\n\u001b[1;32m    598\u001b[0m   \u001b[39mreturn\u001b[39;00m out\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:238\u001b[0m, in \u001b[0;36mStructuredFunctionWrapper.__init__.<locals>.trace_tf_function.<locals>.wrapped_fn\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m    237\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mwrapped_fn\u001b[39m(\u001b[39m*\u001b[39margs):  \u001b[39m# pylint: disable=missing-docstring\u001b[39;00m\n\u001b[0;32m--> 238\u001b[0m   ret \u001b[39m=\u001b[39m wrapper_helper(\u001b[39m*\u001b[39;49margs)\n\u001b[1;32m    239\u001b[0m   ret \u001b[39m=\u001b[39m structure\u001b[39m.\u001b[39mto_tensor_list(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_output_structure, ret)\n\u001b[1;32m    240\u001b[0m   \u001b[39mreturn\u001b[39;00m [ops\u001b[39m.\u001b[39mconvert_to_tensor(t) \u001b[39mfor\u001b[39;00m t \u001b[39min\u001b[39;00m ret]\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:168\u001b[0m, in \u001b[0;36mStructuredFunctionWrapper.__init__.<locals>.wrapper_helper\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m    166\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m _should_unpack(nested_args):\n\u001b[1;32m    167\u001b[0m   nested_args \u001b[39m=\u001b[39m (nested_args,)\n\u001b[0;32m--> 168\u001b[0m ret \u001b[39m=\u001b[39m autograph\u001b[39m.\u001b[39;49mtf_convert(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_func, ag_ctx)(\u001b[39m*\u001b[39;49mnested_args)\n\u001b[1;32m    169\u001b[0m ret \u001b[39m=\u001b[39m variable_utils\u001b[39m.\u001b[39mconvert_variables_to_tensors(ret)\n\u001b[1;32m    170\u001b[0m \u001b[39mif\u001b[39;00m _should_pack(ret):\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/autograph/impl/api.py:690\u001b[0m, in \u001b[0;36mconvert.<locals>.decorator.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    688\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m    689\u001b[0m   \u001b[39mwith\u001b[39;00m conversion_ctx:\n\u001b[0;32m--> 690\u001b[0m     \u001b[39mreturn\u001b[39;00m converted_call(f, args, kwargs, options\u001b[39m=\u001b[39;49moptions)\n\u001b[1;32m    691\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m \u001b[39mas\u001b[39;00m e:  \u001b[39m# pylint:disable=broad-except\u001b[39;00m\n\u001b[1;32m    692\u001b[0m   \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(e, \u001b[39m'\u001b[39m\u001b[39mag_error_metadata\u001b[39m\u001b[39m'\u001b[39m):\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/autograph/impl/api.py:377\u001b[0m, in \u001b[0;36mconverted_call\u001b[0;34m(f, args, kwargs, caller_fn_scope, options)\u001b[0m\n\u001b[1;32m    374\u001b[0m   \u001b[39mreturn\u001b[39;00m _call_unconverted(f, args, kwargs, options)\n\u001b[1;32m    376\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m options\u001b[39m.\u001b[39muser_requested \u001b[39mand\u001b[39;00m conversion\u001b[39m.\u001b[39mis_allowlisted(f):\n\u001b[0;32m--> 377\u001b[0m   \u001b[39mreturn\u001b[39;00m _call_unconverted(f, args, kwargs, options)\n\u001b[1;32m    379\u001b[0m \u001b[39m# internal_convert_user_code is for example turned off when issuing a dynamic\u001b[39;00m\n\u001b[1;32m    380\u001b[0m \u001b[39m# call conversion from generated code while in nonrecursive mode. In that\u001b[39;00m\n\u001b[1;32m    381\u001b[0m \u001b[39m# case we evidently don't want to recurse, but we still have to convert\u001b[39;00m\n\u001b[1;32m    382\u001b[0m \u001b[39m# things like builtins.\u001b[39;00m\n\u001b[1;32m    383\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m options\u001b[39m.\u001b[39minternal_convert_user_code:\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/autograph/impl/api.py:459\u001b[0m, in \u001b[0;36m_call_unconverted\u001b[0;34m(f, args, kwargs, options, update_cache)\u001b[0m\n\u001b[1;32m    456\u001b[0m   \u001b[39mreturn\u001b[39;00m f\u001b[39m.\u001b[39m\u001b[39m__self__\u001b[39m\u001b[39m.\u001b[39mcall(args, kwargs)\n\u001b[1;32m    458\u001b[0m \u001b[39mif\u001b[39;00m kwargs \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 459\u001b[0m   \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    460\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39margs)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/keras/src/engine/data_adapter.py:339\u001b[0m, in \u001b[0;36mTensorLikeDataAdapter.__init__.<locals>.slice_batch_indices\u001b[0;34m(indices)\u001b[0m\n\u001b[1;32m    334\u001b[0m first_k_indices \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39mslice(indices, [\u001b[39m0\u001b[39m], [num_in_full_batch])\n\u001b[1;32m    335\u001b[0m first_k_indices \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39mreshape(\n\u001b[1;32m    336\u001b[0m     first_k_indices, [num_full_batches, batch_size]\n\u001b[1;32m    337\u001b[0m )\n\u001b[0;32m--> 339\u001b[0m flat_dataset \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39;49mdata\u001b[39m.\u001b[39;49mDataset\u001b[39m.\u001b[39;49mfrom_tensor_slices(first_k_indices)\n\u001b[1;32m    340\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_partial_batch_size:\n\u001b[1;32m    341\u001b[0m     index_remainder \u001b[39m=\u001b[39m tf\u001b[39m.\u001b[39mdata\u001b[39m.\u001b[39mDataset\u001b[39m.\u001b[39mfrom_tensors(\n\u001b[1;32m    342\u001b[0m         tf\u001b[39m.\u001b[39mslice(\n\u001b[1;32m    343\u001b[0m             indices, [num_in_full_batch], [\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_partial_batch_size]\n\u001b[1;32m    344\u001b[0m         )\n\u001b[1;32m    345\u001b[0m     )\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/dataset_ops.py:831\u001b[0m, in \u001b[0;36mDatasetV2.from_tensor_slices\u001b[0;34m(tensors, name)\u001b[0m\n\u001b[1;32m    827\u001b[0m \u001b[39m# Loaded lazily due to a circular dependency (dataset_ops ->\u001b[39;00m\n\u001b[1;32m    828\u001b[0m \u001b[39m# from_tensor_slices_op -> dataset_ops).\u001b[39;00m\n\u001b[1;32m    829\u001b[0m \u001b[39m# pylint: disable=g-import-not-at-top,protected-access\u001b[39;00m\n\u001b[1;32m    830\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mtensorflow\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpython\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdata\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mops\u001b[39;00m \u001b[39mimport\u001b[39;00m from_tensor_slices_op\n\u001b[0;32m--> 831\u001b[0m \u001b[39mreturn\u001b[39;00m from_tensor_slices_op\u001b[39m.\u001b[39;49m_from_tensor_slices(tensors, name)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/from_tensor_slices_op.py:25\u001b[0m, in \u001b[0;36m_from_tensor_slices\u001b[0;34m(tensors, name)\u001b[0m\n\u001b[1;32m     24\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_from_tensor_slices\u001b[39m(tensors, name\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[0;32m---> 25\u001b[0m   \u001b[39mreturn\u001b[39;00m _TensorSliceDataset(tensors, name\u001b[39m=\u001b[39;49mname)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/from_tensor_slices_op.py:54\u001b[0m, in \u001b[0;36m_TensorSliceDataset.__init__\u001b[0;34m(self, element, is_files, name)\u001b[0m\n\u001b[1;32m     45\u001b[0m   batch_dim\u001b[39m.\u001b[39massert_is_compatible_with(\n\u001b[1;32m     46\u001b[0m       tensor_shape\u001b[39m.\u001b[39mDimension(\n\u001b[1;32m     47\u001b[0m           tensor_shape\u001b[39m.\u001b[39mdimension_value(t\u001b[39m.\u001b[39mget_shape()[\u001b[39m0\u001b[39m])))\n\u001b[1;32m     49\u001b[0m variant_tensor \u001b[39m=\u001b[39m gen_dataset_ops\u001b[39m.\u001b[39mtensor_slice_dataset(\n\u001b[1;32m     50\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_tensors,\n\u001b[1;32m     51\u001b[0m     output_shapes\u001b[39m=\u001b[39mstructure\u001b[39m.\u001b[39mget_flat_tensor_shapes(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_structure),\n\u001b[1;32m     52\u001b[0m     is_files\u001b[39m=\u001b[39mis_files,\n\u001b[1;32m     53\u001b[0m     metadata\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_metadata\u001b[39m.\u001b[39mSerializeToString())\n\u001b[0;32m---> 54\u001b[0m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49m\u001b[39m__init__\u001b[39;49m(variant_tensor)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/dataset_ops.py:268\u001b[0m, in \u001b[0;36mDatasetV2.__init__\u001b[0;34m(self, variant_tensor)\u001b[0m\n\u001b[1;32m    266\u001b[0m   \u001b[39mif\u001b[39;00m input_options \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    267\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_options_attr \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_options_attr\u001b[39m.\u001b[39mmerge(input_options)\n\u001b[0;32m--> 268\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_options_attr\u001b[39m.\u001b[39;49m_set_mutable(\u001b[39mFalse\u001b[39;49;00m)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/options.py:686\u001b[0m, in \u001b[0;36mOptions._set_mutable\u001b[0;34m(self, mutable)\u001b[0m\n\u001b[1;32m    684\u001b[0m \u001b[39m# pylint: disable=protected-access\u001b[39;00m\n\u001b[1;32m    685\u001b[0m \u001b[39mobject\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__setattr__\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39m_mutable\u001b[39m\u001b[39m\"\u001b[39m, mutable)\n\u001b[0;32m--> 686\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mautotune\u001b[39m.\u001b[39m_set_mutable(mutable)\n\u001b[1;32m    687\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mexperimental_distribute\u001b[39m.\u001b[39m_set_mutable(mutable)\n\u001b[1;32m    688\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mexperimental_optimization\u001b[39m.\u001b[39m_set_mutable(mutable)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/ops/options.py:627\u001b[0m, in \u001b[0;36mOptions.__getattribute__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    622\u001b[0m \u001b[39mif\u001b[39;00m name \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mexperimental_deterministic\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m    623\u001b[0m   \u001b[39m# TODO(aaudibert): Uncomment after internal uses have been updated.\u001b[39;00m\n\u001b[1;32m    624\u001b[0m   \u001b[39m# logging.warning(\"options.experimental_deterministic is deprecated. \"\u001b[39;00m\n\u001b[1;32m    625\u001b[0m   \u001b[39m#                 \"Use options.deterministic instead.\")\u001b[39;00m\n\u001b[1;32m    626\u001b[0m   \u001b[39mreturn\u001b[39;00m \u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdeterministic\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 627\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39;49m(Options, \u001b[39mself\u001b[39;49m)\u001b[39m.\u001b[39;49m\u001b[39m__getattribute__\u001b[39;49m(name)\n",
+      "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/tensorflow/python/data/util/options.py:99\u001b[0m, in \u001b[0;36mcreate_option.<locals>.get_fn\u001b[0;34m(option)\u001b[0m\n\u001b[1;32m     84\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcreate_option\u001b[39m(name, ty, docstring, default_factory\u001b[39m=\u001b[39m\u001b[39mlambda\u001b[39;00m: \u001b[39mNone\u001b[39;00m):\n\u001b[1;32m     85\u001b[0m \u001b[39m  \u001b[39m\u001b[39m\"\"\"Creates a type-checked property.\u001b[39;00m\n\u001b[1;32m     86\u001b[0m \n\u001b[1;32m     87\u001b[0m \u001b[39m  Args:\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     96\u001b[0m \u001b[39m    A type-checked property.\u001b[39;00m\n\u001b[1;32m     97\u001b[0m \u001b[39m  \"\"\"\u001b[39;00m\n\u001b[0;32m---> 99\u001b[0m   \u001b[39mdef\u001b[39;00m \u001b[39mget_fn\u001b[39m(option):\n\u001b[1;32m    100\u001b[0m     \u001b[39m# pylint: disable=protected-access\u001b[39;00m\n\u001b[1;32m    101\u001b[0m     \u001b[39mif\u001b[39;00m name \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m option\u001b[39m.\u001b[39m_options:\n\u001b[1;32m    102\u001b[0m       option\u001b[39m.\u001b[39m_options[name] \u001b[39m=\u001b[39m default_factory()\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
    ],
    "source": [
     "env = gym.make('CartPole-v1')\n",
-    "n_games = 30\n",
+    "n_games = 20\n",
     "agent = Agent(gamma=0.99, epsilon=1.0, alpha=0.0005, input_dims=4, n_actions=2, mem_size=1000000, batch_size=64, epsilon_end=0.01)\n",
     "\n",
     "scores = []\n",
@@ -1537,7 +5311,57 @@
     "        agent.save_model()\n",
     "\n",
     "\n",
-    "#10 episodes = 10s, 20 = 18s,\n"
+    "#10 episodes = 10s, 20 = 18s, ab 39 Episoden, läuft der Algo unendlich weiter (ggf. weil er die Stange dann balanciert?)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[15.0,\n",
+       " 13.0,\n",
+       " 14.0,\n",
+       " 13.0,\n",
+       " 15.0,\n",
+       " 47.0,\n",
+       " 13.0,\n",
+       " 15.0,\n",
+       " 15.0,\n",
+       " 11.0,\n",
+       " 9.0,\n",
+       " 9.0,\n",
+       " 10.0,\n",
+       " 22.0,\n",
+       " 42.0,\n",
+       " 12.0,\n",
+       " 32.0,\n",
+       " 22.0,\n",
+       " 18.0,\n",
+       " 13.0,\n",
+       " 38.0,\n",
+       " 88.0,\n",
+       " 86.0,\n",
+       " 109.0,\n",
+       " 30.0,\n",
+       " 186.0,\n",
+       " 242.0,\n",
+       " 160.0,\n",
+       " 116.0,\n",
+       " 138.0,\n",
+       " 164.0]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scores"
    ]
   }
  ],
@@ -1557,7 +5381,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.12 (main, Jun 15 2023, 07:49:25) [Clang 14.0.3 (clang-1403.0.22.14.1)]"
   },
   "orig_nbformat": 4,
   "vscode": {
diff --git a/Aufgabe 5/dqn_model.keras b/Aufgabe 5/dqn_model.keras
index 96ff95f..b863cc5 100644
Binary files a/Aufgabe 5/dqn_model.keras and b/Aufgabe 5/dqn_model.keras differ