Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/28547
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Type: Conference paper
Title: Reduced MDP representation of a logistical planning problem using petri-nets
Author: Naguleswaran, S.
Hickmott, S.
White, L.
Citation: Al 2005 : advances in artificial intelligence : 18th Australian joint conference on artificial intelligence, Sydney, Australia, December 5-9, 2005 : proceedings / Shichao Zhang, Ray Jarvis (eds.), pp. 830-833
Publisher: Springer
Publisher Place: Berlin Heidelberg
Issue Date: 2005
Series/Report no.: Lecture notes in computer science ; 3809
ISBN: 3540304622
9783540304623
ISSN: 0302-9743
1611-3349
Conference Name: Australian Joint Conference on Artificial Intelligence (18th : 2005 : Sydney, Australia)
Editor: Zhang, S.
Jarvis, R.
Statement of
Responsibility: 
Sanjeev Naguleswaran, Sarah L. Hickmott and Langford B. White
Abstract: This paper describes a method for unfolding a Predicate-net representation of a logistical planning problem, such that it possesses the Markov property. The problem can then be easily converted into a Markov Decision Process (MDP) which can be solved in a tractable manner using standard Dynamic Programming algorithms.
Description: The original publication is available at www.springerlink.com
DOI: 10.1007/11589990_90
Published version: http://www.springerlink.com/content/y8x60m6412348086/
Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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