Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Brain22/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Brain22/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Brain22/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Brain22/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.14 kB
-
https://huggingface.co/Brain22/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Brain22/a2c-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Brain22/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
2.14 kB
- Xet hash:
- 9cb04cf2dfe462b8791307723ef21d7893d9bf62cc675f2700dc59cba133c947
- Size of remote file:
- 2.14 kB
- SHA256:
- ebc38d0c6af8c0216211180803ba8516d607696045cff04bac9c2bb6defb4a5a
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