Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AlienNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_alien_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_alien_2222 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_alien_2222 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c7a17d6d8786e4fcf27c99981b41aa47980b65b806d93baca13099d2c3a68c9
- Size of remote file:
- 1.13 MB
- SHA256:
- ab0fa45eae1fad5e19c65826d887c7bc9e13a9438ac3365d627bec953d4ffff9
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