Initial commit

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- PandaReach-v3
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: PandaReach-v3
+      type: PandaReach-v3
+    metrics:
+    - type: mean_reward
+      value: -2.20 +/- 0.98
+      name: mean_reward
+      verified: false
+---
+
+# **PPO** Agent playing **PandaReach-v3**
+This is a trained model of a **PPO** agent playing **PandaReach-v3**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

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It allows to keep variance\n        above zero and prevent it from growing too fast. 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ppo-PandaReach-v3.zip

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+version https://git-lfs.github.com/spec/v1
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ppo-PandaReach-v3/_stable_baselines3_version

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ppo-PandaReach-v3/data

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+}

ppo-PandaReach-v3/policy.optimizer.pth

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+- Python: 3.10.12
+- Stable-Baselines3: 2.2.1
+- PyTorch: 2.1.0+cu118
+- GPU Enabled: True
+- Numpy: 1.23.5
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.25.2

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