demo/envpool_demo_pong.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "[<img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">](https://colab.research.google.com/github/sail-sg/envpool/blob/main/demo/envpool_demo_pong.ipynb)"
      ],
      "metadata": {
        "id": "wSww-5lcUxqN"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YMhfVuVIQQd9"
      },
      "outputs": [],
      "source": [
        "# OS: Ubuntu 18.04.4 LTS x86_64\n",
        "# Kernel: 4.18.0-15-generic\n",
        "# CPU: Intel(R) Core(TM) i9-10920X CPU (24) @ 3.50GHz\n",
        "# GPU: NVIDIA GeForce RTX 2080 Ti\n",
        "!apt-get install -y \\\n",
        "    libgl1-mesa-dev \\\n",
        "    libgl1-mesa-glx \\\n",
        "    libglew-dev \\\n",
        "    libosmesa6-dev \\\n",
        "    software-properties-common\n",
        "\n",
        "!apt-get install -y patchelf\n",
        "!pip install git+https://github.com/Denys88/rl_games\n",
        "!pip install envpool\n",
        "!pip install gym\n",
        "\n",
        "!pip install free-mujoco-py\n",
        "!apt-get install -y xvfb python-opengl ffmpeg > /dev/null 2>&1\n",
        "!pip install imageio==2.4.1\n",
        "!pip install -U colabgymrender"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from rl_games.torch_runner import Runner"
      ],
      "metadata": {
        "id": "weGrLVCFTKdD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "## pong_envpool config:\n",
        "pong_config = {'params': {'seed': 322, \n",
        "                          'algo': {'name': 'a2c_discrete'}, \n",
        "                          'model': {'name': 'discrete_a2c'}, \n",
        "                          'network': {'name': 'actor_critic', \n",
        "                                      'separate': False, \n",
        "                                      'space': {'discrete': None}, \n",
        "                                      'cnn': {'permute_input': False, \n",
        "                                              'type': 'conv2d', \n",
        "                                              'activation': 'elu', \n",
        "                                              'initializer': {'name': 'default'}, \n",
        "                                              'regularizer': {'name': 'None'}, \n",
        "                                              'convs': [{'filters': 32, 'kernel_size': 8, 'strides': 4, 'padding': 0}, \n",
        "                                                        {'filters': 64, 'kernel_size': 4, 'strides': 2, 'padding': 0}, \n",
        "                                                        {'filters': 64, 'kernel_size': 3, 'strides': 1, 'padding': 0}]}, \n",
        "                                      'mlp': {'units': [512], 'activation': 'elu', 'initializer': {'name': 'orthogonal_initializer', 'gain': 1.41421356237}}}, \n",
        "                          'config': {'name': 'Pong-v5_envpool', \n",
        "                                     'env_name': 'envpool', \n",
        "                                     'score_to_win': 20.0, \n",
        "                                     'normalize_value': True, \n",
        "                                     'normalize_input': True, \n",
        "                                     'reward_shaper': {'min_val': -1, 'max_val': 1}, \n",
        "                                     'normalize_advantage': True, \n",
        "                                     'gamma': 0.99, \n",
        "                                     'tau': 0.95, \n",
        "                                     'learning_rate': '3e-4', \n",
        "                                     'lr_schedule': 'adaptive', \n",
        "                                     'kl_threshold': 0.01, \n",
        "                                     'grad_norm': 1.0, \n",
        "                                     'entropy_coef': 0.01, \n",
        "                                     'truncate_grads': True, \n",
        "                                     'e_clip': 0.2, \n",
        "                                     'clip_value': False, \n",
        "                                     'num_actors': 64, \n",
        "                                     'horizon_length': 128, \n",
        "                                     'minibatch_size': 2048, \n",
        "                                     'mini_epochs': 4, \n",
        "                                     'critic_coef': 2, \n",
        "                                     'max_epochs': 500, \n",
        "                                     'use_diagnostics': False, \n",
        "                                     'env_config': {'env_name': 'Pong-v5', 'has_lives': False}, \n",
        "                                     'player': {'render': False, 'games_num': 100, 'n_game_life': 1, 'determenistic': True}}}}"
      ],
      "metadata": {
        "id": "jghnij1BTOiH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "runner = Runner()\n",
        "runner.load(pong_config)\n",
        "runner.run({\n",
        "    'train': True,\n",
        "})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w-DzDWZGUxQW",
        "outputId": "493b9918-eda9-4a52-c94b-7bedbee1c558"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "self.seed = 322\n",
            "Started to train\n",
            "current training device: cuda:0\n",
            "conv_name: conv2d\n",
            "build mlp: 3136\n",
            "RunningMeanStd:  (1,)\n",
            "RunningMeanStd:  (4, 84, 84)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/home/liubo/.local/lib/python3.8/site-packages/rl_games/common/experience.py:341: DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To silence this warning, use `np.compat.long` by itself. In the likely event your code does not need to work on Python 2 you can use the builtin `int` for which `np.compat.long` is itself an alias. Doing this will not modify any behaviour and is safe. When replacing `np.long`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
            "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
            "  self.tensor_dict['actions'] = self._create_tensor_from_space(gym.spaces.Box(low=0, high=1,shape=self.actions_shape, dtype=np.long), obs_base_shape)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "fps step: 11849 fps step and policy inference: 9092 fps total: 5652 epoch: 1/500\n",
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            "saving next best rewards:  [14.216911]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.405285]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.5568285]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.601259]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.688693]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.764588]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [14.931184]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9387 fps step and policy inference: 7244 fps total: 5411 epoch: 126/500\n",
            "saving next best rewards:  [17.633883]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 7779 fps step and policy inference: 6017 fps total: 4700 epoch: 127/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9073 fps step and policy inference: 6975 fps total: 5265 epoch: 128/500\n",
            "saving next best rewards:  [17.860123]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8957 fps step and policy inference: 7022 fps total: 5292 epoch: 129/500\n",
            "saving next best rewards:  [17.985346]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8422 fps step and policy inference: 6510 fps total: 4991 epoch: 130/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8676 fps step and policy inference: 6740 fps total: 5128 epoch: 131/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9110 fps step and policy inference: 7074 fps total: 5314 epoch: 132/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 11077 fps step and policy inference: 8658 fps total: 6168 epoch: 133/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9061 fps step and policy inference: 6928 fps total: 5237 epoch: 134/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9847 fps step and policy inference: 7706 fps total: 5670 epoch: 135/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9361 fps step and policy inference: 7363 fps total: 5483 epoch: 136/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 10995 fps step and policy inference: 8631 fps total: 6157 epoch: 137/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 7884 fps step and policy inference: 6049 fps total: 4721 epoch: 138/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9436 fps step and policy inference: 7247 fps total: 5417 epoch: 139/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8176 fps step and policy inference: 6304 fps total: 4868 epoch: 140/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8744 fps step and policy inference: 6844 fps total: 5195 epoch: 141/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8721 fps step and policy inference: 6736 fps total: 5128 epoch: 142/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8528 fps step and policy inference: 6561 fps total: 5023 epoch: 144/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8524 fps step and policy inference: 6670 fps total: 5088 epoch: 145/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9660 fps step and policy inference: 7600 fps total: 5610 epoch: 146/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 10568 fps step and policy inference: 8243 fps total: 5959 epoch: 147/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8548 fps step and policy inference: 6640 fps total: 5067 epoch: 152/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 9955 fps step and policy inference: 7725 fps total: 5677 epoch: 153/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8966 fps step and policy inference: 6983 fps total: 5262 epoch: 154/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8207 fps step and policy inference: 6414 fps total: 4934 epoch: 155/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8936 fps step and policy inference: 6991 fps total: 5272 epoch: 156/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8777 fps step and policy inference: 6811 fps total: 5169 epoch: 157/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "fps step: 8764 fps step and policy inference: 6667 fps total: 5086 epoch: 159/500\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [19.467575]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "saving next best rewards:  [19.644829]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
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            "fps step: 9455 fps step and policy inference: 7429 fps total: 5513 epoch: 457/500\n",
            "fps step: 8438 fps step and policy inference: 6536 fps total: 5008 epoch: 458/500\n",
            "fps step: 9250 fps step and policy inference: 7240 fps total: 5412 epoch: 459/500\n",
            "fps step: 9140 fps step and policy inference: 7105 fps total: 5327 epoch: 460/500\n",
            "fps step: 9233 fps step and policy inference: 7256 fps total: 5431 epoch: 461/500\n",
            "fps step: 7204 fps step and policy inference: 5524 fps total: 4394 epoch: 462/500\n",
            "fps step: 9044 fps step and policy inference: 7245 fps total: 5413 epoch: 463/500\n",
            "fps step: 9307 fps step and policy inference: 7200 fps total: 5381 epoch: 464/500\n",
            "fps step: 11346 fps step and policy inference: 8914 fps total: 6295 epoch: 465/500\n",
            "fps step: 9451 fps step and policy inference: 7264 fps total: 5426 epoch: 466/500\n",
            "fps step: 8665 fps step and policy inference: 6620 fps total: 5061 epoch: 467/500\n",
            "fps step: 7801 fps step and policy inference: 5960 fps total: 4663 epoch: 468/500\n",
            "fps step: 9465 fps step and policy inference: 7485 fps total: 5551 epoch: 469/500\n",
            "fps step: 9572 fps step and policy inference: 7412 fps total: 5506 epoch: 470/500\n",
            "fps step: 9893 fps step and policy inference: 7773 fps total: 5707 epoch: 471/500\n",
            "fps step: 9099 fps step and policy inference: 7167 fps total: 5368 epoch: 472/500\n",
            "fps step: 8981 fps step and policy inference: 6827 fps total: 5174 epoch: 473/500\n",
            "fps step: 9243 fps step and policy inference: 7059 fps total: 5309 epoch: 474/500\n",
            "fps step: 7665 fps step and policy inference: 5901 fps total: 4627 epoch: 475/500\n",
            "fps step: 7541 fps step and policy inference: 5954 fps total: 4661 epoch: 476/500\n",
            "fps step: 8585 fps step and policy inference: 6646 fps total: 5072 epoch: 477/500\n",
            "fps step: 10771 fps step and policy inference: 8422 fps total: 6035 epoch: 478/500\n",
            "fps step: 9583 fps step and policy inference: 7447 fps total: 5527 epoch: 479/500\n",
            "fps step: 10889 fps step and policy inference: 8614 fps total: 6146 epoch: 480/500\n",
            "fps step: 9537 fps step and policy inference: 7374 fps total: 5479 epoch: 481/500\n",
            "fps step: 8029 fps step and policy inference: 6193 fps total: 4802 epoch: 482/500\n",
            "fps step: 9203 fps step and policy inference: 7209 fps total: 5392 epoch: 483/500\n",
            "fps step: 10002 fps step and policy inference: 7792 fps total: 5714 epoch: 484/500\n",
            "fps step: 9731 fps step and policy inference: 7482 fps total: 5546 epoch: 485/500\n",
            "fps step: 9883 fps step and policy inference: 7762 fps total: 5698 epoch: 486/500\n",
            "fps step: 8984 fps step and policy inference: 7122 fps total: 5340 epoch: 487/500\n",
            "fps step: 9821 fps step and policy inference: 7826 fps total: 5733 epoch: 488/500\n",
            "fps step: 9200 fps step and policy inference: 7139 fps total: 5352 epoch: 489/500\n",
            "fps step: 9063 fps step and policy inference: 7226 fps total: 5398 epoch: 490/500\n",
            "fps step: 8678 fps step and policy inference: 6683 fps total: 5095 epoch: 491/500\n",
            "fps step: 9752 fps step and policy inference: 7756 fps total: 5695 epoch: 492/500\n",
            "fps step: 10208 fps step and policy inference: 8090 fps total: 5870 epoch: 493/500\n",
            "fps step: 8983 fps step and policy inference: 7010 fps total: 5281 epoch: 494/500\n",
            "fps step: 9886 fps step and policy inference: 7772 fps total: 5698 epoch: 495/500\n",
            "fps step: 8691 fps step and policy inference: 6727 fps total: 5121 epoch: 496/500\n",
            "fps step: 8804 fps step and policy inference: 6815 fps total: 5173 epoch: 497/500\n",
            "fps step: 8438 fps step and policy inference: 6575 fps total: 5033 epoch: 498/500\n",
            "fps step: 9069 fps step and policy inference: 7043 fps total: 5299 epoch: 499/500\n",
            "fps step: 9205 fps step and policy inference: 7004 fps total: 5274 epoch: 500/500\n",
            "saving next best rewards:  [19.764378]\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/Pong-v5_envpool.pth'\n",
            "=> saving checkpoint 'runs/Pong-v5_envpool_23-09-07-59/nn/last_Pong-v5_envpoolep500rew[19.764378].pth'\n",
            "MAX EPOCHS NUM!\n"
          ]
        }
      ]
    }
  ]
}