| --- |
| library_name: stable-baselines3 |
| tags: |
| - HalfCheetah-v5 |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - stable-baselines3 |
| model-index: |
| - name: SAC |
| results: |
| - task: |
| type: reinforcement-learning |
| name: reinforcement-learning |
| dataset: |
| name: HalfCheetah-v5 |
| type: HalfCheetah-v5 |
| metrics: |
| - type: mean_reward |
| value: 14963.06 +/- 198.41 |
| name: mean_reward |
| verified: false |
| --- |
| |
| # **SAC** Agent playing **HalfCheetah-v5** |
|
|
| This is a trained model of a **SAC** agent playing **HalfCheetah-v5** |
| 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 |
| |
| ... |
| ``` |