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Preferred Rules in Continuous Time Markov Decision Processes

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  • Mark R. Lembersky

    (Oregon State University)

Abstract

Motivated by a planning horizon result for continuous time Markov decision chains, we study decision rules, called preferred, which may be used in the initially stationary part of nearly optimal policies. We characterize these rules and then, under conditions involving state recurrence and accessibility, consider finding such rules. We also discuss the connection between preferred rules and certain discounted process decision rules, and the role of preferred rules in optimal policies.

Suggested Citation

  • Mark R. Lembersky, 1974. "Preferred Rules in Continuous Time Markov Decision Processes," Management Science, INFORMS, vol. 21(3), pages 348-357, November.
  • Handle: RePEc:inm:ormnsc:v:21:y:1974:i:3:p:348-357
    DOI: 10.1287/mnsc.21.3.348
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    Cited by:

    1. Richard E. Chatwin, 1996. "Optimal control of continuous‐time terminal‐value birth‐and‐death processes and airline overbooking," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 159-168, March.

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