Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
StarGunnerNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_stargunner_2222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_stargunner_2222 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_stargunner_2222 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e11f2a33ae111b9f75d72a07e8b44bd852c8b07d4c2a0d2cb80520a16758a8b1
- Size of remote file:
- 7.01 MB
- SHA256:
- b0b038fab601634f2d700888477c451d3a750ddc081f23be428af15de55654a2
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