Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NorbertRop/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NorbertRop/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NorbertRop/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from NorbertRop/a2c-AntBulletEnv-v0: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
-
https://huggingface.co/NorbertRop/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
- Command line
-
hf download hf://NorbertRop/a2c-AntBulletEnv-v0/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/NorbertRop/a2c-AntBulletEnv-v0/resolve/main/replay.mp4
1.07 MB
- Xet hash:
- 918134006a28afdee0d1e7ae23b359f35496771a35f55feeeb68a9acf24eaa1c
- Size of remote file:
- 1.07 MB
- SHA256:
- 4f8c134cb06c4ec459d4a526cad65f23baa0336664b8ba765ba16db9b8bc3f37
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