Reinforcement Learning
stable-baselines3
HalfCheetah-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-HalfCheetah-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-HalfCheetah-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-HalfCheetah-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/a2c-HalfCheetah-v3: direct link, hf CLI and curl.
- Browser
- Download file 5.01 kB
-
https://huggingface.co/sb3/a2c-HalfCheetah-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/a2c-HalfCheetah-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/a2c-HalfCheetah-v3/resolve/main/vec_normalize.pkl
5.01 kB
- Xet hash:
- ff24a1a420cb241041377663d0cfa76b36af9b6ec25dc72036c6c952602fb853
- Size of remote file:
- 5.01 kB
- SHA256:
- 412781235e865fe1d88f182d2e4463e53d0b6224ad2cc1780e34627551e07c21
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