Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pm390/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pm390/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pm390/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36fd4051eeb2657e8121162796da7a8c52c003cae649bb01935aac6894c56b42
- Size of remote file:
- 2.76 kB
- SHA256:
- a4fb3c4a1df704c41766f507b66776111507c788b66f3674bcf096bf2d957629
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