Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ebgazar/DQN-SOTASpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ebgazar/DQN-SOTASpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ebgazar/DQN-SOTASpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f252a15d67ce721455c7b339baf069137a33e2fbbd785e83c12e41062a657c8
- Size of remote file:
- 35.9 kB
- SHA256:
- 415d642357ee9fcb611f8cc975c6fe64868b77170e196b7b446251cf657f5a3e
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