Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8f3c2befaee7cdb1a1d0fd525e43a8898f66c3c6ea077cf6f73e8313c4e7225
- Size of remote file:
- 244 kB
- SHA256:
- fb7291e62314f779867383859da8bddf11a4827d4b23196bc59ff447d29353c9
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