Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
NameThisGameNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_namethisgame_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_namethisgame_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_namethisgame_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a936792eb6919051b681a0519c31744aaf83c72c94aadd233e22bfef67f94f3c
- Size of remote file:
- 6.98 MB
- SHA256:
- 358b5f32d3012f1bcad4c45336d41d3c8a8dfc81e683fa9b76111db871e85f00
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