Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ShreyasM/a2c-Walker2DBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ShreyasM/a2c-Walker2DBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ShreyasM/a2c-Walker2DBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from ShreyasM/a2c-Walker2DBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.94 kB
-
https://huggingface.co/ShreyasM/a2c-Walker2DBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://ShreyasM/a2c-Walker2DBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/ShreyasM/a2c-Walker2DBulletEnv-v0/resolve/main/vec_normalize.pkl
1.94 kB
- Xet hash:
- 18441d88a068dd523543d4f58ccd85b94339110d4842c1aa92e515e6a092c417
- Size of remote file:
- 1.94 kB
- SHA256:
- dba9678d434a26fad3d5ff6f693866ed1eed98090183ec4b53e69b12a53a2cff
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