Acquisition of chess knowledge in AlphaZero

We analyze the knowledge acquired by AlphaZero, a neural network engine that learns chess solely by playing against itself yet becomes capable of outperforming human chess players. Although the system trains without access to human games or guidance, it appears to learn concepts analogous to those u...

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Detalles Bibliográficos
Autores principales: McGrath, Thomas, Kapishnikov, Andrei, Tomašev, Nenad, Pearce, Adam, Wattenberg, Martin, Hassabis, Demis, Kim, Been, Paquet, Ulrich, Kramnik, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704706/
https://www.ncbi.nlm.nih.gov/pubmed/36375061
http://dx.doi.org/10.1073/pnas.2206625119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704706/
https://www.ncbi.nlm.nih.gov/pubmed/36375061
http://dx.doi.org/10.1073/pnas.2206625119

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