Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AkiraHase/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AkiraHase/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AkiraHase/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c3201447774f95118792d12fa8b18536b3080bfb32a16531f9d54351770ac02
- Size of remote file:
- 27.2 MB
- SHA256:
- 2bdc702821b9f03d5fa16b8466c11387d9ed52ab978f4d157d66c42e827344c1
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