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Symbolic Planning with Axioms

Speck, David; Geißer, Florian; Mattmüller, Robert; Torralba, Álvaro

Description

Axioms are an extension for classical planning models that allow for modeling complex preconditions and goals exponentially more compactly. Although axioms were introduced in planning more than a decade ago, modern planning techniques rarely support axioms, especially in cost-optimal planning. Symbolic search is a popular and competitive optimal planning technique based on the manipulation of sets of states. In this work, we extend symbolic search algorithms to support axioms natively. We...[Show more]

CollectionsANU Research Publications
Date published: 2019
Type: Conference paper
URI: http://hdl.handle.net/1885/164888
Source: Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling (ICAPS 2019)
Access Rights: Open Access

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