Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pratsy/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pratsy/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pratsy/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dc92bab87b2cf4dde633dea1c021bd4e8e92045fd32a05ff334a23a56bc0b03
- Size of remote file:
- 1.25 MB
- SHA256:
- ee6b705cd0a1bed9ed805e8dbaf55dbb8c1d9cf18073ee63b602b264d2cf7071
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