CartPole-v0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import gym\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2017-10-19 09:47:56,041] Making new env: CartPole-v0\n"
     ]
    }
   ],
   "source": [
    "env = gym.make('CartPole-v0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.04384401, -0.00657724, -0.03361949,  0.00106782])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "env.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# env.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4,)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "states = env.observation_space\n",
    "states.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actions = env.action_space.n\n",
    "actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  "
     ]
    }
   ],
   "source": [
    "reward, total_reward = None, 0\n",
    "done = False\n",
    "state = env.reset()\n",
    "counter = 0\n",
    "\n",
    "while not done:\n",
    "    action = env.action_space.sample()\n",
    "    state, reward, done, info = env.step(action)\n",
    "    total_reward += reward\n",
    "    counter += 1\n",
    "    \n",
    "    if counter % 500 == 0:\n",
    "        print('episode {:,}\\t Total reward = {}'.format(counter, total_reward))\n",
    "    if counter >= 5000:\n",
    "        break\n",
    "    env.render()\n",
    "    print('{:,} '.format(counter), end=' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}