Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use happycoding/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use happycoding/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="happycoding/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d935df3b8c43b452d649b7dfdf739b76f70dcb84a9e17fa9da8eae387f2dfbf1
- Size of remote file:
- 2.52 kB
- SHA256:
- f6d6ee40abc32301166bf81844637ebe1451af7f3907177ffa6bb76ddc246353
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