A New Decomposition Technique for Solving Markov Decision Processes

Pierre Laroche; Yann Boniface; René Schott

inria-00101093, version 1

A New Decomposition Technique for Solving Markov Decision Processes

Pierre Laroche ()^a^, 1, Yann Boniface ()^b^, 2, René Schott ^3, 4

Symposium on Applied Computing - SAC'2001 (2001) 5 p

Résumé : In this paper, we present a new tool for automatically solving Markov Decision Processes. Using a predefined partition o fthe MDP, a directed graph is built to decompose the global MDP into small local MDPs which are independently solved. An approximate solution for the global MDP is obtained using local solutions. Our approach has been tested on a mobile robotics application. It allows near-optimal solutions to be obtained in significantly reduced time. We also present preliminary results concerning a parallel implementation.

a – UNIVERSITE DE METZ
b – UNIVERSITE NANCY 2
1 : Laboratoire d'Informatique Théorique et Appliquée (LITA (EA3097))
Université Paul Verlaine - Metz
2 : CORTEX (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
3 : Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
4 : Institut Elie Cartan Nancy (IECN)
CNRS : UMR7502 – INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)

inria-00101093, version 1
http://hal.inria.fr/inria-00101093
oai:hal.inria.fr:inria-00101093
Contributeur : Publications Loria <>
Soumis le : Mardi 26 Septembre 2006, 14:56:27
Dernière modification le : Lundi 11 Juin 2007, 15:37:31

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