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--- |
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library_name: stable-baselines3 |
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tags: |
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- Ant-v4 |
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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: SAC |
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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: Ant-v4 |
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type: Ant-v4 |
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metrics: |
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- type: mean_reward |
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value: 5635.13 +/- 88.03 |
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name: mean_reward |
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verified: false |
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--- |
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# **SAC** Agent playing **Ant-v4** |
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This is a trained model of a **SAC** agent playing **Ant-v4** |
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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 SAC |
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from huggingface_sb3 import load_from_hub |
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checkpoint = load_from_hub( |
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repo_id="jren123/sac-ant-v4", |
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filename="SAC-Ant-v4.zip", |
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) |
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model = SAC.load(checkpoint) |
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``` |
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