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 ppo-Walker2DBulletEnv-v0.zip from Forkits/ppo-Walker2DBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.79 MB
-
https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/ppo-Walker2DBulletEnv-v0.zip
- Command line
-
hf download hf://Forkits/ppo-Walker2DBulletEnv-v0/ppo-Walker2DBulletEnv-v0.zip
-
curl -L -o ppo-Walker2DBulletEnv-v0.zip https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/ppo-Walker2DBulletEnv-v0.zip
1.79 MB
- Xet hash:
- 1320286dc6edff8af6d165a36afb9ea333de92dd80f3cf0688f2d14edae3ad13
- Size of remote file:
- 1.79 MB
- SHA256:
- 041d2c8dee341afc947a45efc5da9ca2780d70a74c3a8ef26db087bdb3928725
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.