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Conference Papers Year : 2013

Active Diagnosis Through Information-Lookahead Planning

Mauricio Araya
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Olivier Buffet
Vincent Thomas

Abstract

We consider challenging active diagnosis problems, that is, when smart exploration is needed to acquire information about a hidden target variable. Classical approaches rely on information-greedy strategies or ad-hoc algorithms for specific classes of problems. We propose to model this problem using the generic ρPOMDP formalism, which leads to an information-lookahead planning strategy, where the objective is to gather information-based reward. We empirically evaluate this approach on the Rock Diagnosis problem, which is a variation of the well-known Rock Sample problem, showing that we obtain better performance results than information-greedy techniques.
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Dates and versions

hal-00907288 , version 1 (21-11-2013)

Identifiers

  • HAL Id : hal-00907288 , version 1

Cite

Mauricio Araya, Olivier Buffet, Vincent Thomas. Active Diagnosis Through Information-Lookahead Planning. 8èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, Jul 2013, Lille, France. ⟨hal-00907288⟩
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