Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use webjdi/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use webjdi/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="webjdi/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 359a04c374a2af551a023e7332864c1393eabc1e1a26840e848ec49f214aa572
- Size of remote file:
- 27.2 MB
- SHA256:
- f6b2ec526591126fe65e1957ca87fc3d698670f35f6bf6fc3e5f86b206724864
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