Initial commit

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- PandaPushDense-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: A2C
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: PandaPushDense-v2
+      type: PandaPushDense-v2
+    metrics:
+    - type: mean_reward
+      value: -8.84 +/- 4.76
+      name: mean_reward
+      verified: false
+---
+
+# **A2C** Agent playing **PandaPushDense-v2**
+This is a trained model of a **A2C** agent playing **PandaPushDense-v2**
+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-PandaPushDense-v2.zip

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+oid sha256:0d13dfba3808a78a91b9e504243e4d4a16a541b6fe96359d21d7bb867f0b7a97
+size 123674

a2c-PandaPushDense-v2/_stable_baselines3_version

@@ -0,0 +1 @@
+1.7.0

a2c-PandaPushDense-v2/data

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+        "__module__": "stable_baselines3.common.policies",
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a2c-PandaPushDense-v2/system_info.txt

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+- Python: 3.8.10
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu116
+- GPU Enabled: False
+- Numpy: 1.21.6
+- Gym: 0.21.0

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results.json

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+{"mean_reward": -8.83563433215022, "std_reward": 4.761476401782387, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-01-22T10:06:51.493488"}

vec_normalize.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:01934633fdbed1f12c3c3b3b46f2194c8a8cf886b9301c3146bbad068cc83816
+size 3536