This paper discusses the issue of efficient resolution of timeline-based planning problems. In particular, taking inspiration from the more classical heuristics for the resolution of STRIPS-like problems, it proposes a new heuristic strategy which, while maintaining the variables lifted, allows more accurate decisions. The concepts presented in this work pave the way for a new type of heuristics which, at present, allow this kind of solvers a significant performance improvement.

Lifted Heuristics for Timeline-based Planning

De Benedictis R;Cesta A
2020

Abstract

This paper discusses the issue of efficient resolution of timeline-based planning problems. In particular, taking inspiration from the more classical heuristics for the resolution of STRIPS-like problems, it proposes a new heuristic strategy which, while maintaining the variables lifted, allows more accurate decisions. The concepts presented in this work pave the way for a new type of heuristics which, at present, allow this kind of solvers a significant performance improvement.
2020
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang
ECAI 2020
24th European Conference on Artificial Intelligence - ECAI 2020
2330
2337
978-1-64368-100-9
https://ebooks.iospress.nl/publication/55157
IOS Press
Amsterdam
PAESI BASSI
29/8/2020-8/9/2020
Santiago de Compostela, Spain
Automated Planning
Timeline-based Planning
Planning & Scheduling
Heuristic Search
2
none
De Benedictis, R; Cesta, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/401170
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? ND
social impact