Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use zachli/atari with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use zachli/atari with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="zachli/atari", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d83c021c8fd68826b452faf8c28be8e210a039e52779dbea10044fa848528927
- Size of remote file:
- 37.6 kB
- SHA256:
- f3c9e145fca4ea582b06f98967d71b72b5e9fb51092ca44c56d3d3d0ff45e784
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.