Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pumpitup521/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pumpitup521/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pumpitup521/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from pumpitup521/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/pumpitup521/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://pumpitup521/a2c-AntBulletEnv-v0/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/pumpitup521/a2c-AntBulletEnv-v0/resolve/main/vec_normalize.pkl
2.16 kB
- Xet hash:
- 4b04fc9ea7791c9ebd211c30c79b48b2437c9fa94c1d56f0f74e002c82d153f1
- Size of remote file:
- 2.16 kB
- SHA256:
- fd546c66017728c7323cd4f43ecc4d30a1341eb3f14a30b57519475c646953ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.