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is ?:annotates of
?:authorAffiliation
  • [\'Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.\', \'Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, China.\', \'Department of Computer Science, University of Helsinki, Helsinki, Finland.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1371/journal.pone.0251550
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?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 33984043
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  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Deep reinforcement learning approaches for global public health strategies for COVID-19 pandemic.
?:type
?:year
  • 2021

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