Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AlienNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_alien_3333 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_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_alien_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dce045e53fd2c752eed8f01cfaff212dd1146e501b0f6e63fc21a38eed95b266
- Size of remote file:
- 7.01 MB
- SHA256:
- ed05c897f749e4af8314d0a7ebe5e2723fb32491832dbc66a20aa56541cbb0f6
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