Added A2C model trained with PandaReachJointDense-v3
Browse files- README.md +1 -35
- a2c_sb3_panda.zip +3 -0
README.md
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---
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tags:
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- PandaReach-v3
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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: 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: PandaReach-v3
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type: PandaReach-v3
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metrics:
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- type: mean_reward
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value: -38.40 +/- 19.77
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name: mean_reward
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verified: false
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# **A2C** Agent playing **PandaReach-v3**
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This is a trained model of a **A2C** agent playing **PandaReach-v3**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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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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a2c_sb3_panda.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b236bebbcae6d315ddf12242bd48847282c7ca1384e5567eea9ff022caffaff
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size 104252
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