Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use tmpusr/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use tmpusr/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="tmpusr/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a17751ad0b2acc34af371f9d3c5fafb4d6a96f6f9b71ef0ad4ee86ddeff16fe
- Size of remote file:
- 2.18 kB
- SHA256:
- 2df780037069751264ac5055b5d40102253270998cf82a5a5d72f9843e71ac3c
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