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A Sound (But Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning

Title: A Sound (But Incomplete) Polynomial Translation from Discretised PDDL+ to Numeric Planning
Authors: Percassi F.; Scala E.; Vallati M.
Contributors: Percassi F.; Scala E.; Vallati M.
Publisher Information: Springer Science and Business Media Deutschland GmbH
Publication Year: 2022
Collection: Università degli Studi di Brescia: OPENBS - Open Archive UniBS
Subject Terms: Automated planning for hybrid system; Planning via translation
Description: pddl+ is an expressive planning formalism that enables the modelling of domains having both discrete and continuous dynamics. Recently, two mappings for translating discretised pddl+ problems into a numeric a-temporal task have been proposed. Such translations produce a task of exponential or polynomial size w.r.t. the size of the native task. In this work, starting from the above-mentioned polynomial translation, we introduce a sound but not generally complete variant that has the potential to improve the performance of numeric planning engines. We define the subclass of problems where the variant is safely applicable, and we assess the advantages of such a translation.
Document Type: conference object
Language: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-3-031-08420-1; info:eu-repo/semantics/altIdentifier/isbn/978-3-031-08421-8; info:eu-repo/semantics/altIdentifier/wos/WOS:000876859300002; ispartofbook:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021; volume:13196; firstpage:18; lastpage:31; numberofpages:14; serie:LECTURE NOTES IN COMPUTER SCIENCE; https://hdl.handle.net/11379/569605
DOI: 10.1007/978-3-031-08421-8_2
Availability: https://hdl.handle.net/11379/569605; https://doi.org/10.1007/978-3-031-08421-8_2
Accession Number: edsbas.B6A2A385
Database: BASE