Initial commit

README.md

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+---
+library_name: stable-baselines3
+tags:
+- AntBulletEnv-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: A2C
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: AntBulletEnv-v0
+      type: AntBulletEnv-v0
+    metrics:
+    - type: mean_reward
+      value: 217.64 +/- 61.50
+      name: mean_reward
+      verified: false
+---
+
+# **A2C** Agent playing **AntBulletEnv-v0**
+This is a trained model of a **A2C** agent playing **AntBulletEnv-v0**
+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
+
+...
+```

a2c-AntBulletEnv-v0.zip

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a2c-AntBulletEnv-v0/_stable_baselines3_version

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+2.0.0

a2c-AntBulletEnv-v0/data

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+        "__module__": "stable_baselines3.common.policies",
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a2c-AntBulletEnv-v0/system_info.txt

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+- OS: Linux-5.19.0-46-generic-x86_64-with-glibc2.35 # 47~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Jun 21 15:35:31 UTC 2
+- Python: 3.9.16
+- Stable-Baselines3: 2.0.0
+- PyTorch: 2.0.1+cu117
+- GPU Enabled: True
+- Numpy: 1.25.0
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.28.1
+- OpenAI Gym: 0.23.0

config.json

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results.json

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