Markov decision processes with state‐dependent discount factors and unbounded rewards/costs

Markov decision processes with state‐dependent discount factors and unbounded rewards/costs

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Article ID: iaor20119266
Volume: 39
Issue: 5
Start Page Number: 369
End Page Number: 374
Publication Date: Sep 2011
Journal: Operations Research Letters
Authors: ,
Keywords: programming: dynamic
Abstract:

This paper studies Markov decision processes with state‐dependent discount factors. Suitable conditions are given for the existence of optimal stationary policies. Then, an iteration algorithm for computing the optimal value function is developed. Finally, a cash balance model is used to illustrate the main results in this paper.

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