Reduced MDP representation of a logistical planning problem using petri-nets

  • Authors:
  • Sanjeev Naguleswaran;Sarah L. Hickmott;Langford B. White

  • Affiliations:
  • National ICT Australia and School of Electrical and Electronic Engineering, University of Adelaide, Australia;National ICT Australia and School of Electrical and Electronic Engineering, University of Adelaide, Australia;National ICT Australia and School of Electrical and Electronic Engineering, University of Adelaide, Australia

  • Venue:
  • AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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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.