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Open Access

Peer-reviewed

Research Article

Some performance considerations when using multi-armed bandit algorithms in the presence of missing data

Xijin Chen ,

Roles Formal analysis, Software, Visualization, Writing – original draft

* E-mail: xijin.chen@mrc-bsu.cam.ac.uk

Affiliation MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom

https://orcid.org/0000-0001-5591-4828

⨯
Kim May Lee,

Roles Formal analysis, Investigation, Methodology, Resources, Supervision, Validation, Writing – review & editing

Affiliation Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
⨯
Sofia S. Villar,

Roles Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

Affiliation MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
⨯
David S. Robertson

Roles Formal analysis, Investigation, Methodology, Resources, Supervision, Validation, Writing – review & editing

Affiliation MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
⨯

Some performance considerations when using multi-armed bandit algorithms in the presence of missing data

Xijin Chen,
Kim May Lee,
Sofia S. Villar,
David S. Robertson

x

Published: September 12, 2022
https://doi.org/10.1371/journal.pone.0274272

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