Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Forkits/ppo-Walker2DBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Forkits/ppo-Walker2DBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Forkits/ppo-Walker2DBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Forkits/ppo-Walker2DBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 3.6 kB
-
https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Forkits/ppo-Walker2DBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/vec_normalize.pkl
3.6 kB
- Xet hash:
- af2e40f6880e81e5d75299e34d1e4d5d1d611c0730805c46be9885f99841cf55
- Size of remote file:
- 3.6 kB
- SHA256:
- 543c2b1968d2cc16b40317b1c76a5f2e167ced28f89b466ff3ca83f38161bdb3
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