Lifted Heuristics for Timeline-based Planning

Autor: De Benedictis R., Cesta A.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 24th European Conference on Artificial Intelligence-ECAI 2020, pp. 2330–2337, Santiago de Compostela, Spain, 29/8/2020-8/9/2020
info:cnr-pdr/source/autori:De Benedictis R.; Cesta A./congresso_nome:24th European Conference on Artificial Intelligence-ECAI 2020/congresso_luogo:Santiago de Compostela, Spain/congresso_data:29%2F8%2F2020-8%2F9%2F2020/anno:2020/pagina_da:2330/pagina_a:2337/intervallo_pagine:2330–2337
Popis: 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.
Databáze: OpenAIRE