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--- |
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library_name: stable-baselines3 |
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tags: |
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- CartPole-v1 |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- stable-baselines3 |
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model-index: |
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- name: PPO |
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results: |
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- metrics: |
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- type: mean_reward |
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value: 500.00 +/- 0.00 |
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name: mean_reward |
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task: |
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type: reinforcement-learning |
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name: reinforcement-learning |
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dataset: |
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name: CartPole-v1 |
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type: CartPole-v1 |
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--- |
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# **PPO** Agent playing **CartPole-v1** |
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This is a trained model of a **PPO** agent playing **CartPole-v1** |
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3) |
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and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo) |
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## Usage (with SB3 RL Zoo) |
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``` |
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# Download model and save it into the logs/ folder |
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python -m utils.load_from_hub --algo ppo --env CartPole-v1 -orga sb3 -f logs/ |
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python enjoy --algo ppo --env CartPole-v1 -f logs/ |
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``` |
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## Training (with the RL Zoo) |
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``` |
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python train.py --algo ppo --env CartPole-v1 -f logs/ |
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# Upload the model and generate video (when possible) |
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python -m utils.push_to_hub --algo ppo --env CartPole-v1 -f logs/ -orga sb3 |
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``` |
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