Active Diagnosis Through Information-Lookahead Planning - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

Active Diagnosis Through Information-Lookahead Planning

Mauricio Araya
  • Function : Author
  • PersonId : 881106
Olivier Buffet
Vincent Thomas


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.
Fichier principal
Vignette du fichier
jfpda13-b.pdf (232.61 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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


  • HAL Id : hal-00907288 , version 1


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⟩
183 View
139 Download


Gmail Facebook X LinkedIn More