Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use heriosousa/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use heriosousa/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="heriosousa/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 669c94b4feaa3f3ab22ab2d95632b3781a8e1b697f05e8c639088f2bb311cff8
- Size of remote file:
- 129 kB
- SHA256:
- ad7c1cbc4acb1a1bd036cc2331a3211d8adac989b80e3c2903c6533ab019a958
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