Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use abarekatain/a2c-AntBulletEnv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use abarekatain/a2c-AntBulletEnv with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="abarekatain/a2c-AntBulletEnv", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from abarekatain/a2c-AntBulletEnv: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
-
https://huggingface.co/abarekatain/a2c-AntBulletEnv/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://abarekatain/a2c-AntBulletEnv/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/abarekatain/a2c-AntBulletEnv/resolve/main/vec_normalize.pkl
2.17 kB
- Xet hash:
- a640f4a33429a64935b7e040a2367edfd2b7fcd2d106970a9b1153d98a61a142
- Size of remote file:
- 2.17 kB
- SHA256:
- 821739b49ed530e49d09ad35395a2bbde5ca9be2a98cd621415284ba8db61e92
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