Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Chris1/qrdqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Chris1/qrdqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Chris1/qrdqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 297e23aef70ca6c2c51789997ee0cdf5c40d6e649610811c3a902a0333ab179e
- Size of remote file:
- 37 MB
- SHA256:
- 067421e4b24c1a35679670c72d35b79f77e14c7a19c60cdca1e0aff16c8629f8
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