Faster sorting algorithms discovered using deep reinforcement learning

Fundamental algorithms such as sorting or hashing are used trillions of times on any given day(1). As demand for computation grows, it has become critical for these algorithms to be as performant as possible. Whereas remarkable progress has been achieved in the past(2), making further improvements o...

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Detalles Bibliográficos
Autores principales: Mankowitz, Daniel J., Michi, Andrea, Zhernov, Anton, Gelmi, Marco, Selvi, Marco, Paduraru, Cosmin, Leurent, Edouard, Iqbal, Shariq, Lespiau, Jean-Baptiste, Ahern, Alex, Köppe, Thomas, Millikin, Kevin, Gaffney, Stephen, Elster, Sophie, Broshear, Jackson, Gamble, Chris, Milan, Kieran, Tung, Robert, Hwang, Minjae, Cemgil, Taylan, Barekatain, Mohammadamin, Li, Yujia, Mandhane, Amol, Hubert, Thomas, Schrittwieser, Julian, Hassabis, Demis, Kohli, Pushmeet, Riedmiller, Martin, Vinyals, Oriol, Silver, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247365/
https://www.ncbi.nlm.nih.gov/pubmed/37286649
http://dx.doi.org/10.1038/s41586-023-06004-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247365/
https://www.ncbi.nlm.nih.gov/pubmed/37286649
http://dx.doi.org/10.1038/s41586-023-06004-9

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