Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
StarGunnerNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_stargunner_1111 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_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_stargunner_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5beeabedbfe93f7fe9cf10356ec99b3462ce5f069218efe93d42179d1c19b501
- Size of remote file:
- 7.01 MB
- SHA256:
- fde64762eb9f016343d5d95c71e7bdcc580d231566ee9c2ea094c79c8d1d7851
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