Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NikitaErmolaev/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NikitaErmolaev/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NikitaErmolaev/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dba04d9761899136d23d6f7567c89fd9006eeb3d8f208fc844742ed9eed77f3
- Size of remote file:
- 129 kB
- SHA256:
- 7b7f4cd7efd13c664ed67823dd6e2c4203d353ec015a42c81eee8e14a1bc7e1e
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