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:
- f9cbf691aaf138434fcab28cb2d730f350634b4a7415d34d3e823707bfe27e0b
- Size of remote file:
- 63.2 kB
- SHA256:
- ece8aec355d1f0c23e04cffe3a6b186ed96f91e0c15e84e5a53d9488aae9817a
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