Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sternn/atari_unit3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sternn/atari_unit3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sternn/atari_unit3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a3c632bb1a7f51cd6d67cc8d65ab787aa24876c32873a0ab6e79d70bf86c492
- Size of remote file:
- 27.2 MB
- SHA256:
- 3a8b096e2bebc0f6bebedb48f9f48d85968301c1a6641ce7813acc8f4406d246
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