Deep reinforcement learning for optimal experimental design in biology

The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence—reinforcement learning—to the optimal experimental design task of maximizing confidenc...

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Detalles Bibliográficos
Autores principales: Treloar, Neythen J., Braniff, Nathan, Ingalls, Brian, Barnes, Chris P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721483/
https://www.ncbi.nlm.nih.gov/pubmed/36409776
http://dx.doi.org/10.1371/journal.pcbi.1010695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721483/
https://www.ncbi.nlm.nih.gov/pubmed/36409776
http://dx.doi.org/10.1371/journal.pcbi.1010695

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