Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
SolarisNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_solaris_1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_solaris_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_solaris_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bcbe4301d6279f7622cce935e9210b994c0b3761a402ee56d3ebdf6433d489
- Size of remote file:
- 7.01 MB
- SHA256:
- c78968e02926dae6c8d66f48f447de21a26b958cfae58faf0348f12c70cdd6d4
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