Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MattStammers/a2c-AntBullet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MattStammers/a2c-AntBullet with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MattStammers/a2c-AntBullet", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b17099d72fdb6f400b560c1e1c7c804a792b901477bb8b38ffbdf95bdb79e30
- Size of remote file:
- 2.18 kB
- SHA256:
- d0bf288166aa4f4b3c0ba5e099fa08316d96af1edaf7f9bd91f14070cbf6986c
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