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 replay.mp4 from Forkits/ppo-Walker2DBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.15 MB
-
https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/replay.mp4
- Command line
-
hf download hf://Forkits/ppo-Walker2DBulletEnv-v0/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/Forkits/ppo-Walker2DBulletEnv-v0/resolve/main/replay.mp4
1.15 MB
- Xet hash:
- 853529b947145f0130f407ea4a6640a2a6ccb473f423e35e9d9f7f533c5593c8
- Size of remote file:
- 1.15 MB
- SHA256:
- df8280f3757a841b80098232ffcfb1405fc8a928793723417ec3fffaaa27f65e
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