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

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Variance Minimization,Then, 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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https://doi.org/10.1007/978-3-322-96182-2ulas are used in Sect.?3.4 to characterize .-bias optimal policies. The policy iteration and the linear programming algorithms for computing optimal policies for each of the .-bias criteria are given in Sects.?3.5 and?3.6, respectively.

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Inhaltsanalyse der Nachrichtensendungen,In Chap.?1 we introduce some examples illustrating the class of problems we are interested in.

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Wie man dieses Buch am besten benutztIn Chap. 12, we turn to the expected average criteria. Using the same approach, we again establish the existence of an average constrained-optimal stationary policy.

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Introduction and Summary,In Chap.?1 we introduce some examples illustrating the class of problems we are interested in.

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Constrained Optimality for Average Criteria,In Chap. 12, we turn to the expected average criteria. Using the same approach, we again establish the existence of an average constrained-optimal stationary policy.

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,Die Arbeitsabl?ufe im Versicherungsbetrieb,, we establish the average cost optimality inequality and the existence of average cost optimal policies in Sect.?5.4. We also obtain the average cost 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