Instructions to use Nharen/Reward_Rush_SAC_Half_Cheetah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Nharen/Reward_Rush_SAC_Half_Cheetah with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Nharen/Reward_Rush_SAC_Half_Cheetah", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_id": "username/Your_Model_Name", | |
| "license": "mit", | |
| "task": "reinforcement-learning", | |
| "framework": "pytorch", | |
| "environment": "HalfCheetah-v4", | |
| "metrics": { | |
| "avg_reward": 9692.192, | |
| "max_reward": 9969.899, | |
| "min_reward": 9408.777 | |
| } | |
| } | |