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Informing sequential clinical decision-making through reinforcement learning: an empirical study

This paper highlights the role that reinforcement learning can play in the optimization of treatment policies for chronic illnesses. Before applying any off-the-shelf reinforcement learning methods in this setting, we must first tackle a number of challenges. We outline some of these challenges and...

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Bibliographische Detailangaben
Hauptverfasser: Shortreed, Susan M., Laber, Eric, Lizotte, Daniel J., Stroup, T. Scott, Pineau, Joelle, Murphy, Susan A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2011
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3143507/
https://ncbi.nlm.nih.gov/pubmed/21799585
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-010-5229-0
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