Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pm390/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pm390/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pm390/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from pm390/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 896 kB
-
https://huggingface.co/pm390/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
- Command line
-
hf download hf://pm390/a2c-AntBulletEnv-v0/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/pm390/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
896 kB