{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"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_breakout.ipynb)"
],
"metadata": {
"id": "3XJJ0SaDUeoR"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "lIyDa5q_zWih"
},
"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": "LTVQdyGO0TA3"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"## breakout_envpool config:\n",
"breakout_config = {'params': {'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': 'relu', \n",
" 'initializer': {'name': 'orthogonal_initializer', 'gain': 1.41421356237}, \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': 'relu', 'initializer': {'name': 'orthogonal_initializer', 'gain': 1.41421356237}}}, \n",
" 'config': {'name': 'Breakout_envpool', \n",
" 'env_name': 'envpool', \n",
" 'score_to_win': 900, \n",
" 'normalize_value': True, \n",
" 'normalize_input': False, \n",
" 'reward_shaper': {'scale_value': 1}, \n",
" 'normalize_advantage': True, \n",
" 'gamma': 0.999, \n",
" 'tau': 0.95, \n",
" 'learning_rate': '8e-4', \n",
" 'lr_schedule': 'None', \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': 1024, \n",
" 'mini_epochs': 2, \n",
" 'critic_coef': 1, \n",
" 'max_epochs': 1500, \n",
" 'env_config': {'env_name': 'Breakout-v5', 'episodic_life': True, 'has_lives': True}, \n",
" 'player': {'render': False, 'games_num': 200, 'n_game_life': 5, 'determenistic': False}}}}"
],
"metadata": {
"id": "76pPi11m0Uv1"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"runner = Runner()\n",
"runner.load(breakout_config)\n",
"runner.run({\n",
" 'train': True,\n",
"})"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uMH9k4b13h-Y",
"outputId": "6da13308-00de-46b6-c61f-d64be6a8de9a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"self.seed = 1655992919\n",
"Started to train\n",
"current training device: cuda:0\n",
"conv_name: conv2d\n",
"build mlp: 3136\n",
"RunningMeanStd: (1,)\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: 10570 fps step and policy inference: 8468 fps total: 6379 epoch: 1/1500\n",
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"saving next best rewards: [3.3788164]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [3.4591439]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [3.484466]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [3.9690695]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [55.079437]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [64.38379]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [71.89007]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [92.32931]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [96.85858]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [101.07825]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"saving next best rewards: [101.35467]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
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"fps step: 10922 fps step and policy inference: 8583 fps total: 7196 epoch: 1495/1500\n",
"fps step: 9082 fps step and policy inference: 7072 fps total: 6101 epoch: 1496/1500\n",
"fps step: 9564 fps step and policy inference: 7629 fps total: 6512 epoch: 1497/1500\n",
"fps step: 9908 fps step and policy inference: 7884 fps total: 6702 epoch: 1498/1500\n",
"saving next best rewards: [103.26936]\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/Breakout_envpool.pth'\n",
"fps step: 9820 fps step and policy inference: 7647 fps total: 6525 epoch: 1499/1500\n",
"fps step: 10937 fps step and policy inference: 8670 fps total: 7253 epoch: 1500/1500\n",
"=> saving checkpoint 'runs/Breakout_envpool_23-10-01-59/nn/last_Breakout_envpoolep1500rew[96.06702].pth'\n",
"MAX EPOCHS NUM!\n"
]
}
]
}
]
}