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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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