t81_558_class_12_01_ai_gym.ipynb

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    "<a href=\"https://colab.research.google.com/github/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_01_ai_gym.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    "# T81-558: Applications of Deep Neural Networks\n",
    "**Module 12: Reinforcement Learning**\n",
    "* Instructor: [Jeff Heaton](https://sites.wustl.edu/jeffheaton/), McKelvey School of Engineering, [Washington University in St. Louis](https://engineering.wustl.edu/Programs/Pages/default.aspx)\n",
    "* For more information visit the [class website](https://sites.wustl.edu/jeffheaton/t81-558/)."
   ]
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   "source": [
    "# Module 12 Video Material\n",
    "\n",
    "* **Part 12.1: Introduction to the OpenAI Gym** [[Video]](https://www.youtube.com/watch?v=_KbUxgyisjM&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](t81_558_class_12_01_ai_gym.ipynb)\n",
    "* Part 12.2: Introduction to Q-Learning [[Video]](https://www.youtube.com/watch?v=A3sYFcJY3lA&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](t81_558_class_12_02_qlearningreinforcement.ipynb)\n",
    "* Part 12.3: Keras Q-Learning in the OpenAI Gym [[Video]](https://www.youtube.com/watch?v=qy1SJmsRhvM&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](t81_558_class_12_03_keras_reinforce.ipynb)\n",
    "* Part 12.4: Atari Games with Keras Neural Networks [[Video]](https://www.youtube.com/watch?v=co0SwPWoZh0&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](t81_558_class_12_04_atari.ipynb)\n",
    "* Part 12.5: Application of Reinforcement Learning [[Video]](https://www.youtube.com/watch?v=1jQPP3RfwMI&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](t81_558_class_12_05_apply_rl.ipynb)\n"
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    "# Part 12.1: Introduction to the OpenAI Gym\n",
    "\n",
    "[OpenAI Gym](https://gym.openai.com/) aims to provide an easy-to-setup general-intelligence benchmark with a wide variety of different environments. The goal is to standardize how environments are defined in AI research publications so that published research becomes more easily reproducible. The project claims to provide the user with a simple interface. As of June 2017, developers can only use Gym with Python. \n",
    "\n",
    "OpenAI gym is pip-installed onto your local machine.  There are a few significant limitations to be aware of:\n",
    "\n",
    "* OpenAI Gym Atari only **directly** supports Linux and Macintosh\n",
    "* OpenAI Gym Atari can be used with Windows; however, it requires a particular [installation procedure](https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30)\n",
    "* OpenAI Gym can not directly render animated games in Google CoLab.\n",
    "\n",
    "Because OpenAI Gym requires a graphics display, the only way to display Gym in Google CoLab is an embedded video.  The presentation of OpenAI Gym game animations in Google CoLab is discussed later in this module.\n",
    "\n",
    "### OpenAI Gym Leaderboard\n",
    "\n",
    "The OpenAI Gym does have a leaderboard, similar to Kaggle; however, the OpenAI Gym's leaderboard is much more informal compared to Kaggle.  The user's local machine performs all scoring.  As a result, the OpenAI gym's leaderboard is strictly an \"honor's system.\"  The leaderboard is maintained the following GitHub repository:\n",
    "\n",
    "* [OpenAI Gym Leaderboard](https://github.com/openai/gym/wiki/Leaderboard)\n",
    "\n",
    "If you submit a score, you are required to provide a writeup with sufficient instructions to reproduce your result. A video of your results is suggested, but not required.\n",
    "\n",
    "### Looking at Gym Environments\n",
    "\n",
    "The centerpiece of Gym is the environment, which defines the \"game\" in which your reinforcement algorithm will compete.  An environment does not need to be a game; however, it describes the following game-like features:\n",
    "* **action space**: What actions can we take on the environment, at each step/episode, to alter the environment.\n",
    "* **observation space**: What is the current state of the portion of the environment that we can observe. Usually, we can see the entire environment.\n",
    "\n",
    "Before we begin to look at Gym, it is essential to understand some of the terminology used by this library.\n",
    "\n",
    "* **Agent** - The machine learning program or model that controls the actions.\n",
    "Step - One round of issuing actions that affect the observation space.\n",
    "* **Episode** - A collection of steps that terminates when the agent fails to meet the environment's objective, or the episode reaches the maximum number of allowed steps.\n",
    "* **Render** - Gym can render one frame for display after each episode.\n",
    "* **Reward** - A positive reinforcement that can occur at the end of each episode, after the agent acts.\n",
    "* **Nondeterministic** - For some environments, randomness is a factor in deciding what effects actions have on reward and changes to the observation space.\n",
    "\n",
    "It is important to note that many of the gym environments specify that they are not nondeterministic even though they make use of random numbers to process actions. It is generally agreed upon (based on the gym GitHub issue tracker) that nondeterministic property means that a deterministic environment will still behave randomly even when given consistent seed value. The seed method of an environment can be used by the program to seed the random number generator for the environment.\n",
    "\n",
    "The Gym library allows us to query some of these attributes from environments.  I created the following function to query gym environments.\n"
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   "source": [
    "import gym\n",
    "\n",
    "def query_environment(name):\n",
    "  env = gym.make(name)\n",
    "  spec = gym.spec(name)\n",
    "  print(f\"Action Space: {env.action_space}\")\n",
    "  print(f\"Observation Space: {env.observation_space}\")\n",
    "  print(f\"Max Episode Steps: {spec.max_episode_steps}\")\n",
    "  print(f\"Nondeterministic: {spec.nondeterministic}\")\n",
    "  print(f\"Reward Range: {env.reward_range}\")\n",
    "  print(f\"Reward Threshold: {spec.reward_threshold}\")"
   ]
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   "source": [
    "We will begin by looking at the MountainCar-v0 environment, which challenges an underpowered car to escape the valley between two mountains.  The following code describes the Mountian Car environment."
   ]
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    "outputId": "e2ab1b90-55db-422a-ef77-71227863cb35"
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     "text": [
      "Action Space: Discrete(3)\n",
      "Observation Space: Box(2,)\n",
      "Max Episode Steps: 200\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: -110.0\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"MountainCar-v0\")"
   ]
  },
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   "source": [
    "There are three distinct actions that can be taken: accelrate forward, decelerate, or accelerate backwards.  The observation space contains two continuous (floating point) values, as evident by the box object. The observation space is simply the position and velocity of the car.  The car has 200 steps to escape for each epasode.  You would have to look at the code to know, but the mountian car recieves no incramental reward.  The only reward for the car is given when it escapes the valley.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
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    },
    "colab_type": "code",
    "id": "RF4n5cYEMyru",
    "outputId": "7a8b73c7-6c56-4700-f866-1dfeec2a4080"
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     "text": [
      "Action Space: Discrete(2)\n",
      "Observation Space: Box(4,)\n",
      "Max Episode Steps: 500\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: 475.0\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"CartPole-v1\")"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QwvVKrNebUHJ"
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   "source": [
    "The CartPole-v1 environment challenges the agent to move a cart while keeping a pole balanced. The environment has an observation space of 4 continuous numbers:\n",
    "\n",
    "* Cart Position\n",
    "* Cart Velocity\n",
    "* Pole Angle\n",
    "* Pole Velocity At Tip\n",
    "\n",
    "To achieve this goal, the agent can take the following actions:\n",
    "\n",
    "* Push cart to the left\n",
    "* Push cart to the right\n",
    "\n",
    "There is also a continuous variant of the mountain car.  This version does not simply have the motor on or off.  For the continuous car the action space is a single floating point number that specifies how much forward or backward force is being applied."
   ]
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   "execution_count": 4,
   "metadata": {
    "colab": {
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    },
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    "id": "UAlaMcJmNSY0",
    "outputId": "456d2977-9939-40c1-ad13-4576eeff0b38"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Box(1,)\n",
      "Observation Space: Box(2,)\n",
      "Max Episode Steps: 999\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: 90.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/gym/logger.py:30: UserWarning: \u001b[33mWARN: Box bound precision lowered by casting to float32\u001b[0m\n",
      "  warnings.warn(colorize('%s: %s'%('WARN', msg % args), 'yellow'))\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"MountainCarContinuous-v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JBrlG1t6ceIa"
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   "source": [
    "Note: ignore the warning above, it is a relativly inconsequential bug in OpenAI Gym.\n",
    "\n",
    "Atari games, like breakout can use an observation space that is either equal to the size of the Atari screen (210x160) or even use the RAM memory of the Atari (128 bytes) to determine the state of the game.  Yes thats bytes, not kilobytes!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 121
    },
    "colab_type": "code",
    "id": "ndTb-9pgJizW",
    "outputId": "8d1bf60a-ace3-4a6c-ac5b-c2f0c70cc319"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(4)\n",
      "Observation Space: Box(210, 160, 3)\n",
      "Max Episode Steps: 10000\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: None\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"Breakout-v0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 121
    },
    "colab_type": "code",
    "id": "Ni1rxzmLKAdH",
    "outputId": "4066d9e0-882b-49b4-d399-e3a82c3a2a84"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(4)\n",
      "Observation Space: Box(128,)\n",
      "Max Episode Steps: 10000\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: None\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"Breakout-ram-v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3E253PBGPRuw"
   },
   "source": [
    "### Render OpenAI Gym Environments from CoLab\n",
    "\n",
    "It is possible to visualize the game your agent is playing, even on CoLab.  This section provides information on how to generate a video in CoLab that shows you an episode of the game your agent is playing. This video process is based on suggestions found [here](https://colab.research.google.com/drive/1flu31ulJlgiRL1dnN2ir8wGh9p7Zij2t).\n",
    "\n",
    "Begin by installing **pyvirtualdisplay** and **python-opengl**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uF92FCzZMWPn"
   },
   "outputs": [],
   "source": [
    "!pip install gym pyvirtualdisplay > /dev/null 2>&1\n",
    "!apt-get install -y xvfb python-opengl ffmpeg > /dev/null 2>&1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hS7L8kFMLkjN"
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   "source": [
    "Next, we install needed requirements to display an Atari game."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "78BfQoQKOq7z",
    "outputId": "e535f9a4-1080-434b-fd1f-5d10fff27870"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: setuptools in /usr/local/lib/python3.6/dist-packages (46.1.3)\n"
     ]
    }
   ],
   "source": [
    "!apt-get update > /dev/null 2>&1\n",
    "!apt-get install cmake > /dev/null 2>&1\n",
    "!pip install --upgrade setuptools 2>&1\n",
    "!pip install ez_setup > /dev/null 2>&1\n",
    "!pip install gym[atari] > /dev/null 2>&1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "NjTHm2SpLz10"
   },
   "source": [
    "Next we define functions used to show the video by adding it to the CoLab notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "T9RpF49oOsZj",
    "outputId": "220c28c5-b9b4-42dd-daeb-d30fff2a74ba"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "xdpyinfo was not found, X start can not be checked! Please install xdpyinfo!\n"
     ]
    }
   ],
   "source": [
    "import gym\n",
    "from gym.wrappers import Monitor\n",
    "import glob\n",
    "import io\n",
    "import base64\n",
    "from IPython.display import HTML\n",
    "from pyvirtualdisplay import Display\n",
    "from IPython import display as ipythondisplay\n",
    "\n",
    "display = Display(visible=0, size=(1400, 900))\n",
    "display.start()\n",
    "\n",
    "\"\"\"\n",
    "Utility functions to enable video recording of gym environment \n",
    "and displaying it.\n",
    "To enable video, just do \"env = wrap_env(env)\"\"\n",
    "\"\"\"\n",
    "\n",
    "def show_video():\n",
    "  mp4list = glob.glob('video/*.mp4')\n",
    "  if len(mp4list) > 0:\n",
    "    mp4 = mp4list[0]\n",
    "    video = io.open(mp4, 'r+b').read()\n",
    "    encoded = base64.b64encode(video)\n",
    "    ipythondisplay.display(HTML(data='''<video alt=\"test\" autoplay \n",
    "                loop controls style=\"height: 400px;\">\n",
    "                <source src=\"data:video/mp4;base64,{0}\" type=\"video/mp4\" />\n",
    "             </video>'''.format(encoded.decode('ascii'))))\n",
    "  else: \n",
    "    print(\"Could not find video\")\n",
    "    \n",
    "\n",
    "def wrap_env(env):\n",
    "  env = Monitor(env, './video', force=True)\n",
    "  return env"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "K6NATj-kNADT"
   },
   "source": [
    "Now we are ready to play the game.  We use a simple random agent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 421
    },
    "colab_type": "code",
    "id": "XDKGJ9A3O8fT",
    "outputId": "8675adaf-2e3d-41be-8fec-f1b836079fa7"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video alt=\"test\" autoplay \n",
       "                loop controls style=\"height: 400px;\">\n",
       "                <source 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type=\"video/mp4\" />\n",
       "             </video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#env = wrap_env(gym.make(\"MountainCar-v0\"))\n",
    "env = wrap_env(gym.make(\"Atlantis-v0\"))\n",
    "\n",
    "observation = env.reset()\n",
    "\n",
    "while True:\n",
    "  \n",
    "    env.render()\n",
    "    \n",
    "    #your agent goes here\n",
    "    action = env.action_space.sample() \n",
    "         \n",
    "    observation, reward, done, info = env.step(action) \n",
    "   \n",
    "        \n",
    "    if done: \n",
    "      break;\n",
    "            \n",
    "env.close()\n",
    "show_video()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3.7 (tensorflow)",
   "language": "python",
   "name": "tensorflow"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}