Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use antonioschiro/atarigames_unit3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use antonioschiro/atarigames_unit3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="antonioschiro/atarigames_unit3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8689b04249673676313b8c4cfa0b127496fad2c7aa9d2ea61a56c2aa4d28cf24
- Size of remote file:
- 27.2 MB
- SHA256:
- 007476c8eb2d616d0423c6680ed144c26960c54e0ed4291dea4a2714dc11d0a7
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