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Upload PPO LunarLander-v2 trained agent

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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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-v2
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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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+ - 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-v2
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+ type: CarRacing-v2
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+ metrics:
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+ - type: mean_reward
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+ value: -61.24 +/- 16.86
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ # **PPO** Agent playing **CarRacing-v2**
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+ This is a trained model of a **PPO** agent playing **CarRacing-v2**
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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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+ - OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024
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+ - Python: 3.10.12
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+ - Stable-Baselines3: 2.0.0a5
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+ - PyTorch: 2.3.1+cu121
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+ - GPU Enabled: True
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+ - Numpy: 1.26.4
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+ - Cloudpickle: 2.2.1
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+ - Gymnasium: 0.28.1
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+ - OpenAI Gym: 0.25.2
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+ {"mean_reward": -61.24201722741127, "std_reward": 16.8644908518015, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-08-05T14:22:27.765369"}