Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-Walker2DBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-Walker2DBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-Walker2DBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea4864e00024654de8051148c717c7a31632fbfd63efd3d8930a8f67bd8706c4
- Size of remote file:
- 129 kB
- SHA256:
- 535dd73d4798fe6fa2a4ebc9a092dba360f6bf9684564c99c1418f3ca3ec6984
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