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