Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use codeSpaghetti/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use codeSpaghetti/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="codeSpaghetti/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b5aa399924c17a826890eb9ccabc6e27ed6615f4c7fc91ed005bfdf52c108a0
- Size of remote file:
- 2.14 kB
- SHA256:
- ac1041024bc11107ed3e31417fa75479b323aeafb8eb4ce8ba95d30103a89735
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.