Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AlienNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_alien_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_alien_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_alien_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49f75aae8334464718baf76c2551750661e753c9aed5e3ff3ed0d1394942c583
- Size of remote file:
- 924 kB
- SHA256:
- 28f534817a6626de2072b9c073f94af54466cb6e224c6aa7496b19f0f6bff594
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