Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use FabioDataGeek/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use FabioDataGeek/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="FabioDataGeek/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e7490bd5c110c03964711aa5e35320f0906ee176a82ec10e4b594ded787e201
- Size of remote file:
- 129 kB
- SHA256:
- 0975681541c63f3eba20636dd6551d9582d1c82b2a7522f24ecef372b576e664
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