Antonin Raffin
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README.md
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This is a trained model of a **PPO** agent playing **Pendulum-v1** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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This is a trained model of a **PPO** agent playing **Pendulum-v1** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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```python
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from stable_baselines3 import PPO
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from stable_baselines3.common.env_util import make_vec_env
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# Create the environment
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env_id = "Pendulum-v1"
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env = make_vec_env(env_id, n_envs=1)
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# Instantiate the agent
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model = PPO(
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"MlpPolicy",
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env,
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gamma=0.98,
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use_sde=True,
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sde_sample_freq=4,
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learning_rate=1e-3,
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verbose=1,
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)
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# Train the agent
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model.learn(total_timesteps=int(1e5))
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```
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