Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jayshim/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jayshim/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jayshim/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b3d83d69852f3004082aa691fa27e77669cb3d254513a2b84fdbc96421ce593
- Size of remote file:
- 37.4 kB
- SHA256:
- 5808b0824ccb3b4200fbef2cc8e1524d4843692c77960df7b2770f293de4b934
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