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  • [\'Department of Operations, Information and Decisions, Wharton School, University of Pennsylvania, Philadelphia, PA, USA.\', \'Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA, USA. drakopou@marshall.usc.edu.\', \'Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA, USA.\', \'AgentRisk, Los Angeles, CA, USA.\', \'Department of Hygiene and Epidemiology, University of Thessaly, Larissa, Greece.\', \'Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.\', \'Department of Internal Medicine, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.\']
?:citedBy
  • -1
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?:doi
  • 10.1038/s41586-021-04014-z
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?:journal
  • Nature
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?:pmid
  • 34551425
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  • 17.875
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  • 1052
?:title
  • Efficient and targeted COVID-19 border testing via reinforcement learning.
?:type
?:year
  • 2021

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