tommylam commited on
Commit
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Panda Reach Dense

Browse files
A2C-pandaReachDense-v3.zip ADDED
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A2C-pandaReachDense-v3/_stable_baselines3_version ADDED
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+ - OS: Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023
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+ - Python: 3.10.12
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+ - Stable-Baselines3: 2.1.0
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+ - PyTorch: 2.1.0+cu118
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+ - GPU Enabled: True
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+ - Numpy: 1.23.5
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+ - Cloudpickle: 2.2.1
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+ - Gymnasium: 0.29.1
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+ - OpenAI Gym: 0.25.2
README.md ADDED
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+ ---
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+ library_name: stable-baselines3
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+ tags:
4
+ - PandaReachDense-v3
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - stable-baselines3
8
+ model-index:
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+ - name: A2C
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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: PandaReachDense-v3
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+ type: PandaReachDense-v3
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+ metrics:
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+ - type: mean_reward
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+ value: -0.18 +/- 0.07
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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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+ # **A2C** Agent playing **PandaReachDense-v3**
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+ This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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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
33
+ 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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