Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use inpprenable/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use inpprenable/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="inpprenable/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c6f44fac66cf21c2af36961aeed6bf0b9d515d48a5e504325e6d75dd216be8f
- Size of remote file:
- 27.2 MB
- SHA256:
- 796c678fa585cd228facf276077cb6204c3c183b98057f77303844a37ccef42d
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