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Learning in planning with temporally extended goals and uncontrollable events

Cire, Andre A; Botea, Adi


Recent contributions to advancing planning from the classical model to more realistic problems include using temporal logic such as LTL to express desired properties of a solution plan. This paper introduces a planning model that combines temporally extended goals and uncontrollable events. The planning task is to reach a state such that all event sequences generated from that state satisfy the problem's temporally extended goal. A real-life application that motivates this work is to use...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
Source: 18th European Conference on Artificial Intelligence Volume 178: Frontiers in Artificial Intelligence and Applications
DOI: 10.3233/978-1-58603-891-5-578


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01_Cire_Learning_in_planning_with_2008.pdfAuthor/s Accepted Manuscript (AAM) / Post-print170.35 kBAdobe PDF
FAIA178-0578.pdfPublished version201.33 kBAdobe PDFThumbnail

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