TicTacToe.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "from tictactoe.game import TicTacToe\n",
    "from tictactoe.human import Human\n",
    "from tictactoe.agent import Agent\n",
    "\n",
    "playerX = Agent('AI1')\n",
    "playerY = Agent('AI2')\n",
    "playerZ = Human('Human')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AI vs AI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AI1 chooses move 2\n",
      "AI2 chooses move 1\n",
      "AI1 chooses move 6\n",
      "AI2 chooses move 5\n",
      "AI1 chooses move 8\n",
      "AI2 chooses move 7\n",
      "AI1 chooses move 4\n",
      "AI2 chooses move 3\n",
      "AI2 WINS!!!!!!!!! *CONFETTI*\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "            <table>\n",
       "                <tr>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                </tr>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                <tr>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                    <td>-</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        "
      ],
      "text/plain": [
       "<tictactoe.game.TicTacToe at 0x7f3edc51e5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Single game\n",
    "\n",
    "board = TicTacToe(playerX, playerY)\n",
    "\n",
    "while not board.finished:\n",
    "    board.next_turn()\n",
    "    \n",
    "display(board)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1000\n",
      "2000\n",
      "3000\n",
      "4000\n",
      "FINISHED!\n",
      "AI1 3828\n",
      "AI2 659\n"
     ]
    }
   ],
   "source": [
    "# Multiple games (train the AI)\n",
    "\n",
    "history = {\n",
    "    playerX: [0],\n",
    "    playerY: [0],\n",
    "    None: [0]\n",
    "}\n",
    "\n",
    "playerX.learning_rate = 0.1\n",
    "playerX.explore = 0.1\n",
    "playerY.learning_rate = 0.01\n",
    "playerY.explore = 0.95\n",
    "\n",
    "board = TicTacToe(playerX, playerY)\n",
    "board.print = False\n",
    "\n",
    "for i in range(5000):\n",
    "    if i % 1000 == 0:\n",
    "        print(i)\n",
    "    \n",
    "    while not board.finished:\n",
    "        board.next_turn()\n",
    "        \n",
    "    for p in history:\n",
    "        history[p].append(history[p][-1])\n",
    "    \n",
    "    history[board.winner][-1] += 1\n",
    "        \n",
    "    board.reset()\n",
    "    board.turn_p1 = i % 2  # take turns in starting\n",
    "    \n",
    "print(\"FINISHED!\")\n",
    "print(playerX.name, history[playerX][-1])\n",
    "print(playerY.name, history[playerY][-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Snf5Jh4/t+J5OczgcVFVVkZSUFDCjZYwxVFVV4XDoJa/yfwerm/nvZz9nU1Ed3580gBtn\njiBNu3t6RKcCgN1NM0FE4oFlwIijvOW4icg8YB5ATk7ON45nZWVRWFhIRUVFT2WhT3I4HGRlZfk6\nG0r1GGMMKzYUc+uKLXjbDA/PncSscRm+zpZfO6ZhoMaYWhFZDZwIxItIiH0VkAUU2acVAdlAoYiE\nAHFAVYf0Qzq+p+N3LAIWgTUK6OvHD02gUkr5j6pGF79bvoXXNpUwPiuOB+ZMJDc56uhvVF3SmVFA\nKXbLHxGJAM4EtgGrgYvs0y4HltvPV9ivsY+vMlYH9gpgjj1KKA8YCnzaXQVRSvU/xhhe+ryQU+9+\nl7e2lvK/M4fz0n9P18q/l3TmCiADeMq+DxAELDXGvCoiW4ElInI78AXwuH3+48AzIlIAVGON/MEY\ns0VElgJbAQ9wjY4AUipwVTe1csO/NvDO9nIm5sTzlx+MY2iazubtTf1uIphSqv/bXFTHL55ZR0Wj\nixtnjuCn38klWGfzdpvOTgTTpSCUUr3GGMNTH+3jT29sJzkqjBeuOpFxWfG+zlbA0gCglOoVB6ub\n+d3yzazeUcHpI1L5y0XjSI4O93W2ApoGAKVUj1u5tYzrnl9Pq7eNW88fxeUn5uoCbn2ABgClVI+p\nc7q5b+VOnvxoH+Oy4nh47iSyEyN9nS1l0wCglOoRHxVU8ssl66lucjF3ag6/O28UjtBgX2dLdaAB\nQCnVraqbWnnwnV089fE+BiVH8eQVJzBmQJyvs6UOQwOAUqrbrNtfzfznvqCkroW5U3O45dyRROkW\njX2W/s8opbrM5fHy59e38/TH+8iMj2DF/Ok6vLMf0ACglOqSgvJGfr10PRsK67h02kD+d+ZwYhyh\nvs6W6gQNAEqp4+LyeLlv5S6e+M9ewkOCePQnk5k5Jt3X2VLHQAOAUuqYGGN4c0spf3p9Oweqm/n+\nxAHcdO5IUmJ0Uld/owFAKdVpFQ0ubl62iZVbyxiWFs3TP5vCycNSfJ0tdZw0ACiljupQq/+3y7dQ\n53Rz0zkj+NlJeYQGH3VFedWHaQBQSn2r2uZWfrt8C69sKGZEegzPXDmFEemxvs6W6gYaAJRSh9Xq\naWPxpwe4d+VOGl0e/uesYVx1ymBCtNXvNzQAKKW+4WB1M9c89zkbC+uYPiSJ38waxcgMbfX7Gw0A\nSql2xhie/+wgC1/ZSkiQ8PDcSZw7Nh0RXbnTH3VmT+BsEVktIltFZIuIXGun/15EikRkvf04t8N7\nbhKRAhHZISJnd0ifaacViMiCnimSUup47K9q4iePr2HBS5uYmBPP69fOYNa4DK38/VhnrgA8wK+N\nMZ+LSAywTkRW2sfuM8bc3fFkERmFtQ/waCATeFtEhtmHH8baVL4Q+ExEVhhjtnZHQZRSx8cYw+JP\nD3L7a1sJFuH2741h7pQcXa8/ABw1ABhjSoAS+3mDiGwDBnzLW2YDS4wxLmCvvTn8FPtYgTFmD4CI\nLLHP1QCglI/UOd38eukG3t5WxvQhSdx10Xgy4yN8nS3VS47pdr6I5AITgTV20nwR2SgiT4hIgp02\nADjY4W2FdtqR0pVSPvDOtjLO/+uHvLujnN/MGskzP5uqlX+A6XQAEJFo4EXgV8aYeuARYDAwAesK\n4Z7uyJCIzBORtSKytqKiojs+UinVgbPVy83LNnHlU2sJCRIWz5vGf80YpF0+AahTo4BEJBSr8n/W\nGPMSgDGmrMPxfwCv2i+LgOwOb8+y0/iW9HbGmEXAIoD8/HzTqVIopY6qrc3w7KcHeODtnVQ2tnLV\nKYO5/sxhhIXouP5AddQAINYQgMeBbcaYezukZ9j3BwAuBDbbz1cAz4nIvVg3gYcCnwICDBWRPKyK\nfw4wt7sKopQ6sqJaJ79eup5P9lQzNS+Rv10ynCl5ib7OlvKxzlwBTAcuBTaJyHo77WbgxyIyATDA\nPuAXAMaYLSKyFOvmrge4xhjjBRCR+cCbQDDwhDFmSzeWRSn1NW1thmfX7OcPr20jJEi48wdjuTg/\nW4d2KgDEmL7by5Kfn2/Wrl3r62wo1S9VNrq47vn1fLCrklOHp3DbBWPISYr0dbZULxCRdcaY/KOd\npzOBlfIzxhheXl/Ercu30OJp03H96og0ACjlR4prnfzm5c2s2l7O5IEJ3PH9sQxNi/F1tlQfpQFA\nKT/g9rbxf5/s54F3duH2tHHzuSO48qRBBGurX30LDQBK9XM7yxq44V8b2FBYx5S8RO78wTjykqN8\nnS3VD2gAUKqfanR5uOONbTy35gBxEaE8NHci543L9HW2VD+iAUCpfmjV9jJ++/IWSuqc/GTaQK49\nYyhJ0bopuzo2GgCU6keKa538+Y3tvLKhmGFp0Tz/ixM5IVcndKnjowFAqX7itY0lLHhpI62eNq49\nYyjXnDZEl3FQXaIBQKk+zuNt4663dvD39/YwMSee+380gYFJepNXdZ0GAKX6sN0Vjdzwrw18fqCW\nS6bmcOv5o7XVr7qNBgCl+iCXx8tDqwpY9P4ewoKDeGDOBGZP0O0zVPfSAKBUH7OpsI4bXtjA9tIG\nzhmTzsLZo0mNcfg6W8oPaQBQqo9oazP886N9/Pn1bSRGhfH45fmcMTLN19lSfkwDgFJ9wLr9Ndzx\nxjY+21fDd0emcc8PxxMXGerrbCk/pwFAKR+qb3Hzx1e38fzagyRGhfGXH4zjh/lZul6/6hUaAJTy\nkXe2lXHTS5uoampl3smD+NV3hxIZpn+Sqvfob5tSvayu2c3Nyzbx2qYSRqTHsOiyfCZkx/s6WyoA\nHXVAsYhki8hqEdkqIltE5Fo7PVFEVorILvtngp0uIvKgiBSIyEYRmdThsy63z98lIpf3XLGU6nta\nPW08/9kBTrvnXd7cUsr/nDWM5fOna+WvfKYzVwAe4NfGmM9FJAZYJyIrgZ8C7xhj7hCRBcAC4Ebg\nHKyN4IcCU4FHgKkikgjcCuRj7SO8TkRWGGNqurtQSvU1Xxyo4aaXNrG9tIGJOfHc/r0xjM6M83W2\nVIA7agAwxpQAJfbzBhHZBgwAZgOn2qc9BbyLFQBmA08ba7PhT0QkXkQy7HNXGmOqAewgMhNY3I3l\nUapP8XjbuGflTha9v4e0mHD+dskkZo5O1+0ZVZ9wTPcARCQXmAisAdLs4ABQChwasDwAONjhbYV2\n2pHSlfJLm4vquOGFjWwrqefi/CxumTWKuAgd2qn6jk4HABGJBl4EfmWMqe84TM0YY0TEdEeGRGQe\nMA8gJyenOz5SqV7V6mnjkXd38/DqAhKiQnn0J5OYOSbD19lS6hs6FQBEJBSr8n/WGPOSnVwmIhnG\nmBK7i6fcTi8Csju8PctOK+LLLqND6e9+/buMMYuARQD5+fndElSU6i1fHKjhf/61gd0VTZw3LoPb\nZo8hMSrM19lS6rA6MwpIgMeBbcaYezscWgEcGslzObC8Q/pl9migaUCd3VX0JnCWiCTYI4bOstOU\n6vdcHi93vLGd7z/yEc5WL0/8NJ+H5k7Syl/1aZ25ApgOXApsEpH1dtrNwB3AUhG5EtgPXGwfex04\nFygAmoErAIwx1SLyB+Az+7zbDt0QVqo/W7GhmL/8ezuFNU7mnJDNzbNGEuvQvn7V94k1WKdvys/P\nN2vXrvV1NpQ6rHX7a7j9ta18caCW0Zmx/PqsYZw+QhdvU74nIuuMMflHO09nAit1jKqbWln4yhZe\n2VBMWqyDm88dwRXT8wgN1o1aVP+iAUCpY7BmTxXXL91ARYOLn588iPmnDSFGu3tUP6UBQKlOMMbw\n6Ht7uOvN7WTGR/DC1ScyLkuXcFD9mwYApY6ipqmVG1/cyFtby5g1LoO7Lhqnq3Yqv6C/xUodgTGG\nZV8UsfCVrThbvfxm1kiuPClP1+pXfkMDgFKHUdfsZsFLG3ljcyn5AxO4bfYYRmXG+jpbSnUrDQBK\nfc3OsgZ+/vRaimud3DhzBPNOHkSwLt6m/JAGAKU6WPZFIbcs20xUeAhL5k1j8sBEX2dJqR6jAUAp\nwNnq5fbXtvLsmgNMyU3kr3Mnkhbr8HW2lOpRGgBUwNteWs+1i9ezo6yBX5w8iBvOHk6ITupSAUAD\ngApYVY0u/vHBXh7/cA+xjlCe+tkUThmW4utsKdVrNACogGOMYenag/zxtW3Ut3j4/qQB/GbWKF25\nUwUcDQAqoFQ1urh+6Qbe21nBtEGJ/Pa8Ubo3rwpYGgBUwPj35hJuWbaZBpeHW88fxWUn5urwThXQ\nNAAov+ds9fLb5Zt5YV0hYwbE8uwPxzMiXSd1KaUBQPm1XWUN/L/FX7CjrIH5pw3h2u8O1WWblbJp\nAFB+yeNt4+HVu3n0vd1EhgXzxE9P4LThqb7OllJ9Smf2BH5CRMpFZHOHtN+LSJGIrLcf53Y4dpOI\nFIjIDhE5u0P6TDutQEQWdH9RlLIcqGrmksfWcN/bO5k+JJk3rp2hlb9Sh9GZK4AngYeAp7+Wfp8x\n5u6OCSIyCpgDjAYygbdFZJh9+GHgTKAQ+ExEVhhjtnYh70p9w0ufF3Lzsk0EiXDvxeP5/qQsX2dJ\nqT7rqAHAGPO+iOR28vNmA0uMMS5gr4gUAFPsYwXGmD0AIrLEPlcDgOoW+yqb+O3yzXywq5KpeYnc\nP2cCGXERvs6WUn1aV+4BzBeRy4C1wK+NMTXAAOCTDucU2mkAB7+WPvVwHyoi84B5ADk5OV3IngoE\n3jbD0x/v4+43dxAUJCw4ZwT/dVKeLuWgVCcc71/JI8BgYAJQAtzTXRkyxiwyxuQbY/JTUnRavjqy\ng9XNzH74Qxa+spXx2fG8dd3JXHXKYK38leqk47oCMMaUHXouIv8AXrVfFgHZHU7NstP4lnSljtl7\nOyu4dskXeNsMD8+dxLlj03WnLqWO0XEFABHJMMaU2C8vBA6NEFoBPCci92LdBB4KfAoIMFRE8rAq\n/jnA3K5kXAWm5lYPd7yxnac/3s+wtGgWXZpPbnKUr7OlVL901AAgIouBU4FkESkEbgVOFZEJgAH2\nAb8AMMZsEZGlWDd3PcA1xhiv/TnzgTeBYOAJY8yWbi+N8lttbYbFnx3gvpW7qGx0ccX0XG6cOQJH\naLCvs6ZUvyXGGF/n4Yjy8/PN2rVrfZ0N5WMF5Y386vkv2FxUT/7ABBacM4L8XN2pS6kjEZF1xpj8\no52nM4FVn+VtMzz63m4eeHsXUeHB3HvxeC6cOED7+pXqJhoAVJ9UWNPM9c9v4NN91cwam8GtF4wi\nNUa3aFSqO2kAUH1Kq6eNv71bwKPv7SZYhLt/OJ4fTNJWv1I9QQOA6jN2ljVw7ZL1bCupZ9a4DG46\nZwRZCZG+zpZSfksDgPK5umY3v39lCys2FBPrCGHRpZM5a3S6r7OllN/TAKB8alNhHVf93zpK61v4\n2fRcrjplMEnR4b7OllIBQQOA8gljDM99eoCFr2wlJTqcl67+DuOz432dLaUCigYA1etK6pwsXLGV\nf28p5cRBSTw0d6K2+pXyAQ0AqtcYY1j86UFuf20rLk8bv5k1kitPytMRPkr5iAYA1Stqmlq5edkm\n3thcyvQhSdz+vbHk6Ro+SvmUBgDV4z7aXckN/9pIRYOLG84eztWnDCYoSFv9SvmaBgDVY9zeNu5b\nuZO/vbubAfER/OuqE/VGr1J9iAYA1SPe2FTCA+/sYntpAz+eksPvzhtFRJiu3KlUX6IBQHWrmqZW\nFr6yhZfXFzMwKZK/XTKJc8dm+DpbSqnD0ACgus2aPVVc9/x6KhpdXHPaYH713WGE6vaMSvVZGgBU\nlzW3erj/7V089sEechIjefHq7zAuS/v6lerrNACoLnl3RzkLXtxEaX0LP5iUxcLZo4kO118rpfqD\no16fi8gTIlIuIps7pCWKyEoR2WX/TLDTRUQeFJECEdkoIpM6vOdy+/xdInJ5zxRH9RaPt417V+7k\np//8jLiIUF646kTuuXi8Vv5K9SOd6aB9Epj5tbQFwDvGmKHAO/ZrgHOwNoIfCswDHgErYGDtJTwV\nmALceihoqP7ns33VzH74Pzz4zi4umpzF8vnTdYtGpfqhozbXjDHvi0ju15JnY20UD/AU8C5wo53+\ntLE2Gv5EROJFJMM+d6UxphpARFZiBZXFXS6B6jUtbi93v7mDx/+zl7QYBw/PncS5Y9N1KQel+qnj\nvV5PM8Y0Pdg9AAAb4ElEQVSU2M9LgTT7+QDgYIfzCu20I6V/g4jMw7p6ICcn5zizp7qTMYbl64v5\ny7+3U1zXwtypOfxm1kgiw7S7R6n+rMt/wcYYIyKmOzJjf94iYBFAfn5+t32uOj4VDS6uX7qeD3ZV\nMjozljsvGseMoSm+zpZSqhscbwAoE5EMY0yJ3cVTbqcXAdkdzsuy04r4ssvoUPq7x/ndqhcYY3h9\nUyk3vbQRl6eN22aP5idTB+oaPkr5keOdpbMCODSS53JgeYf0y+zRQNOAOrur6E3gLBFJsG/+nmWn\nqT6mrc3w6sZifrToE6557nPykqN47ZcncdmJuVr5K+VnjnoFICKLsVrvySJSiDWa5w5gqYhcCewH\nLrZPfx04FygAmoErAIwx1SLyB+Az+7zbDt0QVn1HaV0LN764kfd2VpAYFcYfZo/mRyfkEBais3mV\n8kdiDdjpm/Lz883atWt9nQ2/Z4zhhXWFLHxlK62eNn573kgu0e4epfotEVlnjMk/2nk6jCOAGWN4\nc0spf3p9OweqmzkhN4G/XDReN2pRKkBoAAhQhTXN/M+/NvDJnmpGZsTy4I8nct7YDG31KxVANAAE\noFc3FnPLss20tRlumz2aH0/J0VU7lQpAGgACSHGtk9++vJl3tpczPjueB340gVzt7lEqYGkACAAt\nbi/PrTnAnf/eTnCQcOPMEfzXjDxt9SsV4DQA+Ln1B2v5f4s/52C1k1OHp7DwgtEMTNJWv1JKA4Df\nqm9xc+9bO3nq431kxDp49CeTOWtUmt7kVUq10wDgZ4wxLF17kPtW7qK8oYU5J+SwYOYI4iJDfZ01\npVQfowHAj5TVt3DLss28va2MCdnxPHzJRCYP1HX6lVKHpwHAD7g8XpauLeT+lTtpcHn4zayRXHlS\nnq7Tr5T6VhoA+rl1+6u57vkNHKhuZkJ2PHf/cBxDUmN8nS2lVD+gAaCf8rYZHnm3gPvf3kVmfAT/\n/OkJnDo8RVv9SvVFzlpoqQNPCzRXQcUOaCiFpgpwN4O3Fbxu69FSB85qSB4KP/q/Hs2WBoB+6PMD\nNdyybDPbSuo5f3wmt39vDHERepNXqV7V1gauOqsirysCZw20NkJjOTSWWj+bKqBmv/X6cBzx4IiF\noFAIDoPgEAiLgeRhkDa6x4ugAaAfaXF7ueON7Tz18T7SYx389ccTOW9chrb6lepuTZVQux9am62K\nvaEUKrZB9R6oK7Rb6bXQ5j78+yMSIDodopJhyBlWhR6VDCEOCIuyKveYTKvC9yENAP1EUa2TXzyz\nls1F9Vx24kBuOHs4MQ5t9Sv1rbxuq8vF1QDN1VZl7qyBhhKrMnc3g7sFXPVWpe52Wi13V903P8sR\nB4mDrco7IsF6HZ0GUakQNwCiUiA0EiKTINTR+2U9DhoA+oE3NpWw4KVNtLUZHrssn++OSvN1lpTq\nG9xOqC+2Wut73oWq3VBfZLXYm6usvvUjiUiAiEQIjbBa5bGZ1vPIZIjNgJSREB4N4bFWRR+dBkH+\ntXxKlwKAiOwDGgAv4DHG5ItIIvA8kAvsAy42xtSI1U/xANaOYc3AT40xn3fl+/1dRYOL3y3fzBub\nSxmfFcf9cybqWv0qcBgDVQXQWAa1B6yWeVWBVck3FENDGXicX54fFALJwyEmDVJHWS3ysCi7tR4P\nEfEQmWhV6DEZ1rEA7z7tjiuA04wxlR1eLwDeMcbcISIL7Nc3AucAQ+3HVOAR+6f6GmMMb20t46aX\nNtHk8vDrM4fxi1MG69aMqn8wxupucdWDxwXuJqvbxe20+tabK8HrsVrnbW6rn725ynq01Fqvmyqs\nbhu+tmNhRILVDZN1gtX1EpVk9aXHZkLmBKtbRnVaT3QBzcbaQxjgKeBdrAAwG3jaWHtQfiIi8SKS\nYW8ar2wF5Y0seHEja/fXMCojlvvnTGBYmo7rVz7UZFfOrY1WS7y10eovr95r9aU3VYCr0Rri6G21\nWupe19E/NyjEGv0SEg7RqVblHpsFYZFW10xEPMSkQ9IQ64ZqXJZft9pLm0opbSqlvrUed5ub6NBo\npmb0bBu5qwHAAG+JiAH+boxZBKR1qNRLgUMd1gOAgx3eW2inaQAA3N42HvtgL/eu3EFUeAh/+N4Y\nLs7PIjwk2NdZU/7GGKtbpaEEGiusCt3TYqVV7YbKndYIl8YyaG068kiX8FirUo5MgsQ8qyIPcdgV\n+QCrAg9xWI/IJKtiD4u2WutBoX7Xn344xhhqXbWUN5dT4aygqKGIGlcNzZ5mqpxV1LpqqXJWUd1S\nTUnTV6vCscljeW7Wcz2av64GgJOMMUUikgqsFJHtHQ8aY4wdHDpNROYB8wBycnK6mL3+oaC8keue\nX8+mojrOGZPOwgtGkxrbP0YRqD7M3QJVu6zumIYSKNti3Rwt/tzqSz+ciERrlEvKcMg9yRqjfqhC\nD420WuRRyVZFHpHgt63xb9PqbaW6pZoWTwsur4v61noO1B9gR80OSppKqGyupMXbQrO7mUpnJa1t\n37wRHRoUSqIjkfjweJIjk8mOyebSUZcyMHYgCeEJhAaHEhXa8/f7uhQAjDFF9s9yEVkGTAHKDnXt\niEgGUG6fXgRkd3h7lp329c9cBCwCyM/PP6bg0d+0uL38ddUunvhwHxFhwTw8dxLnjk3Xcf2qc4yB\nmr1WxX5owlHROqsf/dAkJNP25fnB4VYFnjgI8q+EhIHWiBdHrD36JQnCA7e7sdXbSnlzOcWNxXxW\n9hnlzeW4vC5cHhflzeXUuGqoclbR7Gk+7PsjQyIZEDOA1IhUMkIzCA8OJzkimZSIFFKjUkmPTCc5\nIpm0qDRCg/rGEO7jDgAiEgUEGWMa7OdnAbcBK4DLgTvsn8vtt6wA5ovIEqybv3WB3P+/Zk8VNy3b\nxJ6KJmaNzeC3540iPU5b/QGrtRnKt1mVd5PdLVNfAqWbrJEuXo/VFXOoj72lzhrD3lFQCKSOtPrR\nM8ZbrfaU4dbwxYgEa4SMjyce+ZIxhhZvC+XN5Wyr3sb68vXsqd1Do7uRsuYyKporMPZN5yAJIsmR\nRHhwOOHB4cQ74hmTPIZERyKJjkQSHAlEhETgCHYQGRpJZlQmA2MH9rvGW1d+G9KAZXaBQ4DnjDH/\nFpHPgKUiciWwH7jYPv91rCGgBVjDQK/ownf3W40uD/ev3MkT/9lLVkIk/7ziBE4bnurrbKme5vVY\no1+KPre6Y1wN1kSkQ4/6Yr4x4gWxhjOGx0CwfbM0OOzLoY6HumTSxlh98VEp1nkBwBhDs6eZ4sZi\nChsKqXHV4PK6aPW20tDaQE1LDQW1BVS3VFPrqqXZ3fyNrhhHsIO8uDwSHYnkxeWRGZ1JemQ6mdGZ\nDE8cTqLD/5dSP+4AYIzZA4w/THoVcMZh0g1wzfF+nz/YXdHIL55Zx+6KRuackM0ts0YRHR64LTK/\n4PVYFXhDsb0eTLXVgm+utoY8NlVYI2jqCr95MzUiAeJzrL72hFyr7z06zeqWCY+xHmGRPilWb2ts\nbaS4qZialhoqnBU0tjZS3VKN0+Ok2d1MjasGp8dJvaue+tZ6qlqqaGhtOOxnCUJceByZ0ZkMSxhG\nXHgcMWExhAeHExYcRkpECgNjBzI6eXSf6YrxFa19ekGL28tjH+zhr6sKiAoP4dkrp/KdIcm+zpY6\nHGPsVRld4Gn9crGvqgKr68Xj6jBipsAaFtlU8dXPCA6zJh7FpFk3VRNyYcQs62fqSGsce3i0dSO1\nn3UZHAtjDCVNJWys2EiFswKnx0lNSw1N7iaa3E1Ut1TT5G6irLmM6pbqw36GI9iBI8RBgiOByJBI\nosOiyYzOJCo0ipzYHJIjksmLzSM5Ipmw4DDCgsNwhDgCvmLvLA0APWzNnip+t3wLO8oaOHNUGrfN\nHk1GXISvs+XfjPlyZUZnrT25qMmqwJ01VuV9aGRMY7k1UcnTalX6LXVfvXH6DWIPa0y0xqcPOhUG\nTrduqCbkWUMfIxJ6qaC+02baqGiuYHftbgobCyltKqW6pZoDDQeodlZT11pHdUs1bV/7t4wIiSAm\nLIbIkEgSHYkkRyQzKmkU2THZDIgeQFJEEkkRScSGxRIXHqcVeQ/TANBD6lvc/H75Fl76oogB8RG6\nhk93cbdYLe/6Yqvidjuh9iDU7LMq9NKNViXe5jnyZ4TaywPEZkLSYKslHhJmjZIJj7EmGwWHWY/w\naKufPSHP6mcPDvPrVjuAp83T3jovaiyiuLGY3bW7qXBWUNpUSlmT1WL3mC//jYMkiPjweLJishgU\nP4jo0GhSIlNIiUhhXMo4BkQPIDIkktAAuUfRX2gA6GYuj5dnPt7PP/+zj9L6Fq4+dTDzTxtClPb1\nd56n1Vrcy1ljVfTVe6BiO5RvhYqdh59lGptltcqHn2vdDI1KtpYFCI+xV2e0F/mKTPTrrhdjDPWt\n9ZQ3l9Pa1tp+U7TZ3dw+Nr2+tR6X14XT42xvrR+ajFTnqjvsuPXIkEjSo9JJi0xjUOYgUiJTSI9M\nJzs2m+zobLJisvrdCBilAaBbrdxaxm9f3kxpfQvjs+O5f84ETsj1/5EEnea2+85r9lpDHlubrD51\np33DtGyz1ad+uBUcYzKtIY1TToHMidbN0/AYqzsmKsVqqfsxt9eN0+vE6XZS0lTCvvp97K3bS5O7\niSpnFeXOcqqcVZQ1lX2lZX4kIRJCeEg4iY5EYsNiyYjKYGTSyPbhjUmOJKJCo0iKSCInJof0qHSC\nxP9n7gYaDQDdoMnl4dYVW3hhXSEjM2K55+LxTA+Um7xtbdZuR7UHrGUEWmqtIY4NJdbrpsovlxQ4\n0vowjjirEk8cbLXgw2Ot5Xhj0q0Fv2LSrbVi/JDT42x/7KzeSXFTMU6Pk9qWWmpdtZQ2lbK3fi/l\nzeXfeG+IhBAbHktUaBQDogeQnpTOzNyZxIZbFXpESARhwWFEhUYRExrTfoM0PjyekCD901caALps\na3E91zz3Ofurmrj61MH86rtD+//6PcbYFXepVZl7WuyJSlutir69gi+wbqZ+Y/w6VndLXJbVx54z\nzZptGhZtLcMbl2WNholI8Ms+dZfXRUljSftwxiZPE8WNxTS6G6lyVlHSVMKe2j00e5pxdlzOuIPw\n4HASHAmkRqQyLWMaA6IHEBMWgyPEQWpEKgNjBzIgeoD2qasu0QBwnNraDEs+O8htr24hLiKUZ/9r\nGicOTvJ1to5NW5s1hLGuEEq+gCp7UlLZFqg7cPj3RKd/uXnGsHO+3AkpPscaFROVbN1k9aMZp542\nD63eVtxtbjxtHtxtbupcdRQ2FFLUWERVSxX76/db68A4K6l0Vn5j9AtYlXp8eDzJEcmcNOAk4sLj\niA+PJzosGkewg8zoTIYmDCUyJJLw4HDtU1c9zn/+SnvRwepmbnl5M+/vrGBKbiIPXTKR1Jg+uIxD\nm9eahHRo+7vy7VCy3pqw1Fhqtd6N98vzQxzWOjGZE2DKzyE+22qlhzisWagJuX41xNHd5mZD+Qb2\n1O1hb91eawapPeHI5XG1j1WvddW2LxFwOKFBoSRFJDEkfghD4oeQFplGXpw1Nj0uPA5HiIP0yHQi\nQwNjUpfqPzQAHIPiWid3vbmDFRuKCQsO4vbvjWHulByCgnzUUnM12mvHVH7ZPdNcbQ2DbCixbqo2\nV331PSkjrIp8wESrfz06zdpUY8BkiB/Yb7tjDk0ucnlcVLVUUdZcRqWzkormClq89qqNrnoa3Y04\nPU4qmiuocFbgsu9LRIREtLfIo0KjiA6LJjkimclpk0lwJBAVGkVoUCghQSGEBlkrNWbHZJMZnUmC\nw3+CogosGgA6oa7ZzTOf7OPv7+2h1dvGpdMG8vOTBzEgvgcmdLW1WUv4blthLQbWVG6t2X5o9ySv\nxxr/3lRl/fwKsW6ghsdYN1GHfNeq2KPTrPXa4wdaE5X6qEPru5Q1lVHaXEpFcwXVLdW0eltxeV00\ntDZY66e3VOHyuKyVGr0uKp2VNLobD/uZIRJCREgE4SHhRIVGERcWR0RIBGOTx5Iamcq4lHGMSR5D\nRlSGdrmogKMB4Fs0t3p4/IO9/POjfVQ3tXLysBRunz2GnKTjuJQ3xmqZtzZZ3S8VO6wJTE3lX25k\nXVf01Uo9MunLTTfCo61NNA4tChadZh2PTLJG0aSOsvrhQ/tGV5Tb62ZL1RZKm0txup3tFXlrWyst\nnhaKGouoc9VR46ppr+BrXbV4jjCBK0iCiAqxhiXGh8cTExZDYnAiYUFhnJh5IqmRqcSGxba35NMi\n09rTgoP6+U15pXqIBoDD8LYZ/u+T/fx1VQGVjS5OHZ7CDWcPZ3RmJ/Yb9bqtFR/3fWCNd28o/XKt\n9pbar50sVuUdn20NgRxy5ldb73FZPVK+Y9XqbaW0qZQaVw2VzkqqnFXsqtlFrau2vRV+aMXFJncT\nta5a3EfYRSpEQggNDiUtMq2939wR7CAsOIzYsFgSHAkkRyS3TzpKirCW5NVhi0p1P/2r6sAYw6rt\n5dz/9i42FdUxJS+RR34y6auTuYyB/R9Zfe71xdZSBC11Vku+rgjqDlpr0MCXY9hjMqzJS4mDrQo/\nMtHqi4/Lsmao+lirt5WSphLqXHVUOivbu2E+L/+c3bW7KWr8xr49RIREkBaZ1r5eeoIjgeyYbCJC\nIkh0JFqLdcXkMDRhaHurPCIkQicTKdWHaACwbS6q485/b+eDXZVkJ0bwwJwJXDAuHakrhE2rYM9q\nOPipvRmH3ZKXYGtIZFi0tfJjYh7kzYDsqTD4dKui9wFjTPtwxPrW+vbnzZ5mWr1WF0xxYzFN7iYO\nNhykuKn4sJ+TF5fHqKRRzB48m4zoDBLCE0iJTCE+PF5nhirlBwI+ANQ2t3LXmzt4ds0BchzNPDg9\nmHOjNxOy7R/w+gdwaM1xRxxkT7PWbs+eCgO/A3HZvT5q5tBCXZXOSrZXb2+fRbqvbh+7anfR7G7+\n1rXSQ4JCCAsKIzUylURHImNTxnLh0AtJj0pv3+0oOjSa+PB44h1994axUqrrAjYAlNe3sPzT7ez/\nz4sM8exidXIpuU0bkXX2uPi4bBhzodV1kzoKsqZAUPe3eN1eN3vqrFmhh26O1rR8ubtRVUsVlc5K\nyprKaPG2tG+S8XXx4fEMTxxOTkwOUaFRDE0YSnpUOjGhMaREprRX7HpDVCl1SK8HABGZCTwABAOP\nGWPu6M3vLyhrYPU7r+HY/hKXyLtEiou2MAdBUUNhwi+tVn7mRKtL5xi529w0u5upc9W1r8h4aK/R\n/fX7qWqpwu114/K6qGmpodnTTLOn+bCzRsGaORoXHkeiI5HcuFwiQyKJDI1kSPwQYsNi27etc4Q4\ncAQ7dBijUuqY9GoAEJFg4GHgTKAQ+ExEVhhjtvboFzdVUbjhbTateYdxte/wc6nEExSCc+h5MONq\ngrJOgMO0jF1eF+XN1iqLpU2llDWXUdpUSqWzkpqWGmpdtTS0NrSPhDnSWPRgCSYtMo2M6AxiwmJI\nCk5iROIIYsJiiAiJYGjCUOLC4ggPsZYKyInJISQoRCt0pVSP6u0rgClAgb2fMCKyBJgNdH8AMIby\n7W+x7aNFSOVHlIcIB0NC+SAzA29KPu64VDwieHc9g3fHk3iMB2+bl5qWGupa62jxtNDkbvrGEgCR\nIZEkRSS1D1Ucnji8fSRMXHictfJiWEz7MrtZMVm6s5FSqk/q7QAwADjY4XUhMLW7v2Tzzg+56b2r\n2ReGVcJ0a2nmYAkiMiSICE8lsY2tBEswwUHBhEgIwUHBBEswmdGZTIicQERIBLFhsaRHpZMamUqC\nI6G9f11b5kopf9DnbgKLyDxgHkBOTs5xfcbgnIkktIUzQkYyaPA55A8aTnp0KplRmXoTVCmlbL0d\nAIqA7A6vs+y0dsaYRcAigPz8/CMvwfgtIhxRPP2LtcebR6WUCgi9PZPnM2CoiOSJSBgwB1jRy3lQ\nSilFL18BGGM8IjIfeBNrGOgTxpgtvZkHpZRSll6/B2CMeR14vbe/Vyml1FfpYi5KKRWgNAAopVSA\n0gCglFIBSgOAUkoFKA0ASikVoMSY45pr1StEpALY34WPSAYquyk7/UWglTnQygta5kDRlTIPNMak\nHO2kPh0AukpE1hpj8n2dj94UaGUOtPKCljlQ9EaZtQtIKaUClAYApZQKUP4eABb5OgM+EGhlDrTy\ngpY5UPR4mf36HoBSSqkj8/crAKWUUkfglwFARGaKyA4RKRCRBb7OT1eIyBMiUi4imzukJYrIShHZ\nZf9MsNNFRB60y71RRCZ1eM/l9vm7RORyX5Sls0QkW0RWi8hWEdkiItfa6X5bbhFxiMinIrLBLvNC\nOz1PRNbYZXveXkYdEQm3XxfYx3M7fNZNdvoOETnbNyXqHBEJFpEvRORV+7W/l3efiGwSkfUistZO\n893vtTHGrx5Yy0zvBgYBYcAGYJSv89WF8pwMTAI2d0j7C7DAfr4AuNN+fi7wBiDANGCNnZ4I7LF/\nJtjPE3xdtm8pcwYwyX4eA+wERvlzue2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3edc51eba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Evaluate performance\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.plot(history[playerX], label=playerX.name)\n",
    "plt.plot(history[playerY], label=playerY.name)\n",
    "plt.plot(history[None], label='Draw')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AI vs Human"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Run this cell to create a board\n",
    "\n",
    "playerX.explore = 0\n",
    "board = TicTacToe(playerX, playerZ)\n",
    "board.turn_p1 = True  # player 1 begins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <table>\n",
       "                <tr>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                </tr>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                <tr>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td>-</td>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        "
      ],
      "text/plain": [
       "<tictactoe.game.TicTacToe at 0x7f3edc51e518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AI1 chooses move 7\n",
      "It's a draw!\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "            <table>\n",
       "                <tr>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                </tr>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                <tr>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td>X</td>\n",
       "                    <td>O</td>\n",
       "                    <td>X</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        "
      ],
      "text/plain": [
       "<tictactoe.game.TicTacToe at 0x7f3edc51e518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Run this cell multiple times to play the game\n",
    "\n",
    "display(board)\n",
    "time.sleep(0.1)\n",
    "board.next_turn()\n",
    "display(board)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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