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
Download dqn-SpaceInvadersNoFrameskip-v4.zip from M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 27.2 MB
-
https://huggingface.co/M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
- Command line
-
hf download hf://M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4/dqn-SpaceInvadersNoFrameskip-v4.zip
-
curl -L -o dqn-SpaceInvadersNoFrameskip-v4.zip https://huggingface.co/M2LabOrg/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/dqn-SpaceInvadersNoFrameskip-v4.zip
27.2 MB
- Xet hash:
- ef12d95468fd723444855913c269925e84a25009cd689e2e5a2c75b33bd583a8
- Size of remote file:
- 27.2 MB
- SHA256:
- 8ff225c6835d105337f43b84e6f4656fa75a7b6ff5e0a4d2f7db137b976328f7
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