Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AsteroidsNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_asteroid_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_asteroid_2222 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_asteroid_2222 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c06bda703a1c228df955103a8c673ef765cff15cc8a71c25f42516a9463293f3
- Size of remote file:
- 7 MB
- SHA256:
- 09251f9d88f76226c3f12e00dfdb94bb71f8b9ef6f3f4e1beb23f0e58604dabb
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