Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SebastianS/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SebastianS/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SebastianS/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from SebastianS/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/SebastianS/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://SebastianS/a2c-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/SebastianS/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
2.51 kB
- Xet hash:
- f5b0519faf12c5a5c38a939ea95a22d464ec3cecbb4a64f4c83c54ab82cf4c3f
- Size of remote file:
- 2.51 kB
- SHA256:
- 06c2b58b0851aeec0eb0f0f844b25fd3036b740649822cd3ca6c8eefd239dfce
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