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 a2c-AntBulletEnv-v0.zip from jinukoo/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/jinukoo/a2c-AntBulletEnv-v0/resolve/main/a2c-AntBulletEnv-v0.zip
- Command line
-
hf download hf://jinukoo/a2c-AntBulletEnv-v0/a2c-AntBulletEnv-v0.zip
-
curl -L -o a2c-AntBulletEnv-v0.zip https://huggingface.co/jinukoo/a2c-AntBulletEnv-v0/resolve/main/a2c-AntBulletEnv-v0.zip
129 kB
- Xet hash:
- 37bb2f0fc8af0d3ac9f73cd48927a5f7b3d3a0d7b58f44388b5b32ec01500b58
- Size of remote file:
- 129 kB
- SHA256:
- d49eb5a93ed015cefe3bb64eb570b61001d33716b60acaca4c50a69f128663bf
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