Titlebook: Continuous-Time Markov Decision Processes; Theory and Applicati Xianping Guo,Onésimo Hernández-Lerma Book 2009 Springer-Verlag Berlin Heide

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0172-4568 e MDPs allowing unbounded transition rates, which is the cas.Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), comp

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,Die Arbeitsabl?ufe im Versicherungsbetrieb, optimality equation in Sect.?5.5. Finally, in Sect.?5.6, we present an example showing that the existence of an average cost optimal policy does not imply the existence of a solution to the average cost optimality equation.

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Symbole, die in diesem Buch benutzt werdenThen, the results developed in Chap.?7 are used in Sect.?10.4 to show the existence of a policy that minimizes the limiting average variance. An algorithm to compute a variance minimization optimal policy is also developed in Sect.?10.4. This chapter ends with an example in Sect.?10.5.

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Book 2009n operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This?volume provides a unified, systematic, self-contained pr

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Book 2009esentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form..

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Average Optimality for Nonnegative Costs, optimality equation in Sect.?5.5. Finally, in Sect.?5.6, we present an example showing that the existence of an average cost optimal policy does not imply the existence of a solution to the average cost optimality equation.

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