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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Bibliographic Details
Main Authors: Neythen J Treloar, Nathan Braniff, Brian Ingalls, Chris P Barnes
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-11-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1010695