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Optimal Choice From Known Rewards With Uncertain Response

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Author Info
Z. Govindarajulu
Klaus J. Utikal
Abstract

Consider a random permutation of a finite number $n$ of known elements representing rewards. These rewards will be made or not made with certain known probabilities. At any stage a reward made can be accepted or rejected, there is no recall and only one reward can be accepted. The problem is to maximize the expected reward accepted. We propose a computationally feasible approximation to the solution of the dynamic programming equation of the problem. Estimates of the error of the approximation are given recursively as well as in explicit form. Recursively the error of the approximation at any stage of the game is obtained in terms of the approximation and its error estimate at the following stage. In numerical examples the goodness of the approximation and its error estimates are found by comparison with the optimal solution.

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File URL: ftp://web.bgse.uni-bonn.de/pub/RePEc/bon/bonsfa/bonsfa459.ps
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Publisher Info
Paper provided by University of Bonn, Germany in its series Discussion Paper Serie A with number 459.

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Date of creation: Nov 1994
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Handle: RePEc:bon:bonsfa:459

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Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
Fax: +49 228 73 9221
Web page: http://www.bgse.uni-bonn.de/index.php?id=517

For technical questions regarding this item, or to correct its listing, contact: (Daniel Park).

Related research
Keywords: optimal stopping; optimal policy approximations; dynamic programming; uncertainty of selection.;

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This page was last updated on 2009-10-18.


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