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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: RecurrentPPO
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+ results:
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+ - metrics:
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+ - type: mean_reward
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+ value: 815.49 +/- 96.46
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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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+ # **RecurrentPPO** Agent playing **CarRacing-v0**
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+ This is a trained model of a **RecurrentPPO** agent playing **CarRacing-v0** 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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+ OS: Linux-5.13.0-40-generic-x86_64-with-debian-bullseye-sid #45~20.04.1-Ubuntu SMP Mon Apr 4 09:38:31 UTC 2022
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+ Python: 3.7.10
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+ Stable-Baselines3: 1.5.1a6
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+ PyTorch: 1.11.0
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+ GPU Enabled: False
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+ Numpy: 1.21.2
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+ Gym: 0.21.0
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+ {"mean_reward": 815.4887142, "std_reward": 96.45898497628285, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-13T22:25:20.361988"}