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On the Notion of Plan Quality for PDDL+

Title: On the Notion of Plan Quality for PDDL+
Authors: Percassi, Francesco; Scala, Enrico; Vallati, Mauro
Contributors: Harabor, Daniel; Ramirez, Miquel
Source: Percassi, F, Scala, E & Vallati, M 2025, On the Notion of Plan Quality for PDDL+. in D Harabor & M Ramirez (eds), Proceedings of the Thirty-Fifth International Conference on Automated Planning and Scheduling. 1 edn, vol. 35, Proceedings of the International Conference on Automated Planning and Scheduling, AAAI press, pp. 102-111, 35th International Conference on Automated Planning and Scheduling, Melbourne, Victoria, Australia, 9/11/25. https://doi.org/10.1609/icaps.v35i1.36106
Publisher Information: AAAI press
Publication Year: 2025
Description: PDDL+ is a planning formalism designed to model mixed continuous-discrete problems. Despite its expressiveness, the absence of a well-established framework for evaluating plan quality makes it challenging to use PDDL+ in applications where plan shape and quality are crucial. This paper addresses this issue by introducing a comprehensive set of plan cost functions tailored for discrete-time PDDL+, along with a cost-preserving translation for generating cost-aware PDDL2.1 planning tasks. The plan cost functions provide a theoretical ground for assessing plan quality, whereas the translation shows their practicability by leveraging the connection between PDDL+ and PDDL2.1.
Document Type: article in journal/newspaper
Language: English
ISBN: 978-1-57735-903-6; 1-57735-903-8
ISSN: 15773590
Relation: info:eu-repo/semantics/altIdentifier/isbn/9781577359036; info:eu-repo/semantics/altIdentifier/isbn/1577359038; urn:ISBN:9781577359036; urn:ISBN:1577359038
DOI: 10.1609/icaps.v35i1.36106
Availability: https://pure.hud.ac.uk/en/publications/83cb3814-fb5a-4717-89fc-6601f42f0bbb; https://doi.org/10.1609/icaps.v35i1.36106; https://ojs.aaai.org/index.php/ICAPS/issue/view/663; https://www.scopus.com/pages/publications/105017494204
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.BADCB067
Database: BASE