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authorAffiliation
[\'Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, California, USA.\', \'School of Medicine, University of California, Irvine, Irvine, California, USA.\']
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10.1093/jamia/ocaa324
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Journal of the American Medical Informatics Association : JAMIA
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127
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title
On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic.
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