Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jinukoo/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jinukoo/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jinukoo/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from jinukoo/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/jinukoo/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
- Command line
-
hf download hf://jinukoo/a2c-AntBulletEnv-v0/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/jinukoo/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
1.08 MB
- Xet hash:
- 60243471c62efc5d308226eb91a358b2ee895ea0c9c1eeb9b766f2a78cf97c63
- Size of remote file:
- 1.08 MB
- SHA256:
- 11c02b2b38b61a0e8a7ed3ff7ebcc78462341662b4ede67cb572f4b3358ac25d
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