Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download qrdqn-SpaceInvadersNoFrameskip-v4.zip from NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 37 MB
-
https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/main/qrdqn-SpaceInvadersNoFrameskip-v4.zip
- Command line
-
hf download hf://NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/qrdqn-SpaceInvadersNoFrameskip-v4.zip
-
curl -L -o qrdqn-SpaceInvadersNoFrameskip-v4.zip https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/main/qrdqn-SpaceInvadersNoFrameskip-v4.zip
37 MB
- Xet hash:
- 4cdfd5e8430e9d1bb81ac479a439b4270b43494a244b2dedbd258d10cd79e2a2
- Size of remote file:
- 37 MB
- SHA256:
- e4f8dfdb9a198beff3d9282070f639c9840ef974fe8552af827ea478e6894a2f
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