Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cha00/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cha00/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cha00/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from cha00/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.18 kB
-
https://huggingface.co/cha00/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://cha00/a2c-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/cha00/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
2.18 kB
- Xet hash:
- 2bfa5fd2d704f6b491d77cce592f684c10c2d18324d9d03880b0f3cc11c75d7c
- Size of remote file:
- 2.18 kB
- SHA256:
- 53b46f1600275aee8c44c32fa0f103d0f0c2f791dfcea4f6647565f5b96fae82
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