Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use rlsn/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use rlsn/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="rlsn/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c636f5d78923f07703326efa442c29d3ab42966315d4f8ebb21655e75b8feb2
- Size of remote file:
- 2.17 kB
- SHA256:
- d5701f48203f72bc7ccd2b194961766f6a4b5de6bbbb513b9b97bf859e4d041d
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