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:
- 421fdfe5665117c1aeb35c9813bb2829d320c9b01ce84a285c3fda5928641a3d
- Size of remote file:
- 126 kB
- SHA256:
- f6f03e4f641df4c86839a1837534296efdc236bdeaecaac5a7c47bed4062a804
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