Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Samalabama66/a2c-AntBulletEnv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Samalabama66/a2c-AntBulletEnv with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Samalabama66/a2c-AntBulletEnv", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Samalabama66/a2c-AntBulletEnv: direct link, hf CLI and curl.
- Browser
- Download file 2.18 kB
-
https://huggingface.co/Samalabama66/a2c-AntBulletEnv/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Samalabama66/a2c-AntBulletEnv/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Samalabama66/a2c-AntBulletEnv/resolve/main/vec_normalize.pkl
2.18 kB
- Xet hash:
- cdfd1f9f67e88aac9918eb2de0e46951b5e45f96612691ece1756c0d7d6c07da
- Size of remote file:
- 2.18 kB
- SHA256:
- a65c2da37a170128a9a10639c615d906aa844c55e0ec74f0e6a46127a138c2e2
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