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Successive Approximations for Finite Horizon, Semi-Markov Decision Processes with Application to Asset Liquidation

Successive Approximations for Finite Horizon, Semi-Markov Decision Processes with Application to... This paper presents a simple successive approximation approach to the characterization of optimal policies for finite horizon, semi-Markov decision processes. Optimal policies are nonstationary, for in this setting they depend on both time and state. We illustrate this approach by analyzing the optimal liquidation of an asset; we also show that several aspects of the standard, discrete-time, infinite horizon optimal policy carry over to the continuous-time, finite horizon policy. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Operations Research INFORMS

Successive Approximations for Finite Horizon, Semi-Markov Decision Processes with Application to Asset Liquidation

Operations Research , Volume 34 (4): 7 – Aug 1, 1986
8 pages

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Publisher
INFORMS
Copyright
Copyright © INFORMS
Subject
Research Article
ISSN
0030-364X
eISSN
1526-5463
DOI
10.1287/opre.34.4.638
Publisher site
See Article on Publisher Site

Abstract

This paper presents a simple successive approximation approach to the characterization of optimal policies for finite horizon, semi-Markov decision processes. Optimal policies are nonstationary, for in this setting they depend on both time and state. We illustrate this approach by analyzing the optimal liquidation of an asset; we also show that several aspects of the standard, discrete-time, infinite horizon optimal policy carry over to the continuous-time, finite horizon policy.

Journal

Operations ResearchINFORMS

Published: Aug 1, 1986

Keywords: Keywords : 112 optimal asset liquidation ; 118 finite horizon ; continuous-time semi-Markov decision process

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