Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/trpo-Walker2DBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/trpo-Walker2DBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/trpo-Walker2DBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f5fd69a7bd2365953ee737709d82b394c3d12e5e474733c7c0f3783346ffe5e
- Size of remote file:
- 5.05 kB
- SHA256:
- 16ebbae67e662ba3a1682223c1aefac83d81694a145bf92a4a9c308dfb02b9b4
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