Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AsteroidsNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_asteroid_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_asteroid_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_asteroid_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b372187283359ce8b0809d21949fa65c0e941ba79024be5c537f6bdee1ae78f
- Size of remote file:
- 6.2 MB
- SHA256:
- fec93c3bb62cad405c1a20621822373f826bc06b5ae5de1a609ce43cee5f1040
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