Finite Horizon Markov Decision Processes with Uncertain Terminal Payoffs
D. J. White
Additional contact information
D. J. White: University of Virginia, Charlottesville, Virginia
Operations Research, 1995, vol. 43, issue 5, 862-869
Abstract:
This paper deals with the problem of finding an estimate of the maximal loss of optimality which can arise when terminal payoffs are uncertain and policies are restricted in some way. The original non-convex optimization problem is converted to a sequence of sub-problems involving the maximization of a bilinear function over a convex region. The paper deals solely with the theoretical issues.
Keywords: dynamic programming/optimal control; Markov; finite state: optimality of first period action for uncertain terminal payoffs (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.43.5.862 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:43:y:1995:i:5:p:862-869
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().