Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use OMARS200/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use OMARS200/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="OMARS200/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a7cd82eaa80c4a95afc30658a643cc6947e4ce83681f388041a7e560b1e0a45
- Size of remote file:
- 35.9 kB
- SHA256:
- 7f52c7635ebabd7d6a817d69b827100cde7d9ae7a658fad9905b15325679a5c7
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