InforLorV4, Main, Merge, bibRecord, 001140

Active Diagnosis Through Information-Lookahead Planning

Identifieur interne : 001140 ( Main/Merge ); précédent : 001139; suivant : 001141

Active Diagnosis Through Information-Lookahead Planning

Auteurs : Mauricio Araya [France] ; Olivier Buffet [France] ; Vincent Thomas [France]

Source :

RBID : Hal:hal-00907288

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.

Url:

https://hal.inria.fr/hal-00907288

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to stream Hal, to step Corpus: 000A90
to stream Hal, to step Curation: 000A90
to stream Hal, to step Checkpoint: 001042

Links to Exploration step

Hal:hal-00907288

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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Active Diagnosis Through Information-Lookahead Planning

Active Diagnosis Through Information-Lookahead Planning

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