Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Francesco-A/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Francesco-A/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Francesco-A/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2876fee3185f0e8ac6f2173298249e79138bcf35e9d7e0c6cfdc614df0845a8
- Size of remote file:
- 36 kB
- SHA256:
- 64273845509e1da36893e74bd1b4f5b77669e49706a2450a59856bdd148d9775
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