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README.md ADDED
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+ ---
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+ library_name: stable-baselines3
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+ tags:
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+ - CarRacing-v0
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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: 184.31 +/- 191.08
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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: CarRacing-v0
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+ type: CarRacing-v0
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+ ---
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+
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+ # **PPO** Agent playing **CarRacing-v0**
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+ This is a trained model of a **PPO** agent playing **CarRacing-v0**
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+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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+
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+ ## Usage (with Stable-baselines3)
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+ TODO: Add your code
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+
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+
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+ ```python
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+ from stable_baselines3 import ...
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+ from huggingface_sb3 import load_from_hub
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+
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+ ...
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+ ```
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+ 1.6.0
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+ OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
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+ Python: 3.7.13
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+ Stable-Baselines3: 1.6.0
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+ PyTorch: 1.12.0+cu113
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+ GPU Enabled: True
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+ Numpy: 1.21.6
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+ Gym: 0.21.0
replay.mp4 ADDED
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results.json ADDED
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+ {"mean_reward": 184.3139425009489, "std_reward": 191.08403716052405, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-28T13:37:14.680312"}
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