Reinforcement Learning
stable-baselines3
seals/Swimmer-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use HumanCompatibleAI/sac-seals-Swimmer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use HumanCompatibleAI/sac-seals-Swimmer-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="HumanCompatibleAI/sac-seals-Swimmer-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07edbbaac8260db1853542cc51c28fe3ca6d996699184fc97ca571d938e8fe6d
- Size of remote file:
- 28 kB
- SHA256:
- bc0381fc9e16ccda3dd2904756e8ac0b4ebe97bff618441d0315930299befcad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.