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Structural Results for Constrained Markov Decision Processes

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서명/저자사항Structural Results for Constrained Markov Decision Processes.
개인저자Girard, Cory Jay.
단체저자명Cornell University. Operations Research.
발행사항[S.l.]: Cornell University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항159 p.
기본자료 저록Dissertation Abstracts International 80-01B(E).
Dissertation Abstract International
ISBN9780438342385
학위논문주기Thesis (Ph.D.)--Cornell University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Mark E. Lewis.
요약In the existing literature on the dynamic control of service systems, a decision-maker seeks to optimize a single performance metric over a given time-horizon. However, in many settings, the decision-maker may be interested in multiple performan
요약We formulate this problem (the parallel setting), as well as a related problem in which customers undergo two phases of service in series (the tandem setting), as Constrained Markov Decision Processes (CMDPs). We present a general framework for
요약Lastly, we consider a controlled, truncated birth-death chain motivated by optimal treatment prescription in the context of personalized medicine. In this model, states represent the patient's state of health, and treatments can be prescribed to
일반주제명Operations research.
언어영어
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