Deep reinforcement learning for optimal experimental design in biology

• Neythen J. Treloar ,

  Roles Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: neythen.treloar.14@ucl.ac.uk (NJT); christopher.barnes@ucl.ac.uk (CPB)

  Affiliation Department of Cell and Developmental Biology, University College London, London, United Kingdom

  https://orcid.org/0000-0002-9180-034X

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• Nathan Braniff,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Department of Applied Mathematics, University of Waterloo, Waterloo, Canada

  https://orcid.org/0000-0002-3459-7613

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• Brian Ingalls,

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Department of Applied Mathematics, University of Waterloo, Waterloo, Canada

  https://orcid.org/0000-0003-2118-3881

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• Chris P. Barnes

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: neythen.treloar.14@ucl.ac.uk (NJT); christopher.barnes@ucl.ac.uk (CPB)

  Affiliations Department of Cell and Developmental Biology, University College London, London, United Kingdom, UCL Genetics Institute, University College London, London, United Kingdom

  https://orcid.org/0000-0002-9459-1395

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