Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use prepsyched/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use prepsyched/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="prepsyched/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from prepsyched/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
-
https://huggingface.co/prepsyched/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://prepsyched/a2c-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/prepsyched/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
2.17 kB
- Xet hash:
- 7a5c178e879fdffd9b1f0f39af9de0de79e68613e18921e3ff5c81c110193574
- Size of remote file:
- 2.17 kB
- SHA256:
- 355d5fba16acbe41568663d103fb8be2bf7d82cff5cc2b15f5cd3be10d291c21
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