Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use iamnamas/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use iamnamas/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="iamnamas/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9721b52b4b8c37e47dfa07c5fb90d45b77678a0fde95465456cb783413d09a29
- Size of remote file:
- 27.2 MB
- SHA256:
- b4cc56db095c8c498788669e450ee060c6c68660c737be35cb27427d4ab9382e
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