Critical Section Macros – New Results (Extended Abstract)

Lukáš Chrpa; Mauro Vallati

doi:10.1609/socs.v18i1.36006

Critical Section Macros – New Results (Extended Abstract)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This extended abstract presents new empirical results of recently introduced Critical Section Macro-operators (CSMs) whose design is inspired by using lockable resources in critical sections in parallel computing. In particular, we provide results on the IPC-2023 learning track domains and four planners, including the winner of the agile track of the IPC-2023 and a lifted planner.

Original language	English
Title of host publication	18th International Symposium on Combinatorial Search
Subtitle of host publication	SoCS 2025
Editors	Maxim Likhachev, Hana Rudová, Enrico Scala
Publisher	Association for the Advancement of Artificial Intelligence
Pages	255-256
Number of pages	2
ISBN (Print)	9781577359012, 1577359011
DOIs	https://doi.org/10.1609/socs.v18i1.36006
Publication status	Published - 20 Jul 2025
Event	18th International Symposium on Combinatorial Search - University of Glasgow, Glasgow, United Kingdom Duration: 12 Aug 2025 → 15 Aug 2025 Conference number: 18 https://socs25.search-conference.org/

Publication series

Name	The International Symposium on Combinatorial Search
Publisher	AAAI
Volume	18
ISSN (Print)	2832-9171
ISSN (Electronic)	2832-9163

Conference

Conference	18th International Symposium on Combinatorial Search
Abbreviated title	SoCS 2025
Country/Territory	United Kingdom
City	Glasgow
Period	12/08/25 → 15/08/25
Internet address	https://socs25.search-conference.org/

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10.1609/socs.v18i1.36006Licence: Unspecified

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Chrpa, L., & Vallati, M. (2025). Critical Section Macros – New Results (Extended Abstract). In M. Likhachev, H. Rudová, & E. Scala (Eds.), 18th International Symposium on Combinatorial Search: SoCS 2025 (pp. 255-256). (The International Symposium on Combinatorial Search; Vol. 18). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/socs.v18i1.36006

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title = "Critical Section Macros – New Results (Extended Abstract)",

abstract = "This extended abstract presents new empirical results of recently introduced Critical Section Macro-operators (CSMs) whose design is inspired by using lockable resources in critical sections in parallel computing. In particular, we provide results on the IPC-2023 learning track domains and four planners, including the winner of the agile track of the IPC-2023 and a lifted planner.",

keywords = "Macro-operators, macros, Critical Section Macros",

author = "Luk{\'a}{\v s} Chrpa and Mauro Vallati",

note = "Funding Information: This research is supported by the Czech Science Foundation (project no. 25-18003S) and by the Euro pean Union under the project ROBOPROX (reg. no. CZ.02.01.01/00/22 008/0004590). Publisher Copyright: {\^A}{\textcopyright} 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 18th International Symposium on Combinatorial Search, SoCS 2025 ; Conference date: 12-08-2025 Through 15-08-2025",

year = "2025",

month = jul,

day = "20",

doi = "10.1609/socs.v18i1.36006",

language = "English",

isbn = "9781577359012",

series = "The International Symposium on Combinatorial Search",

publisher = "Association for the Advancement of Artificial Intelligence",

pages = "255--256",

editor = "Maxim Likhachev and Hana Rudov{\'a} and Enrico Scala",

booktitle = "18th International Symposium on Combinatorial Search",

address = "United States",

url = "https://socs25.search-conference.org/",

}

Chrpa, L & Vallati, M 2025, Critical Section Macros – New Results (Extended Abstract). in M Likhachev, H Rudová & E Scala (eds), 18th International Symposium on Combinatorial Search: SoCS 2025. The International Symposium on Combinatorial Search, vol. 18, Association for the Advancement of Artificial Intelligence, pp. 255-256, 18th International Symposium on Combinatorial Search, Glasgow, United Kingdom, 12/08/25. https://doi.org/10.1609/socs.v18i1.36006

Critical Section Macros – New Results (Extended Abstract). / Chrpa, Lukáš; Vallati, Mauro.
18th International Symposium on Combinatorial Search: SoCS 2025. ed. / Maxim Likhachev; Hana Rudová; Enrico Scala. Association for the Advancement of Artificial Intelligence, 2025. p. 255-256 (The International Symposium on Combinatorial Search; Vol. 18).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Critical Section Macros – New Results (Extended Abstract)

AU - Chrpa, Lukáš

AU - Vallati, Mauro

N1 - Conference code: 18

PY - 2025/7/20

Y1 - 2025/7/20

N2 - This extended abstract presents new empirical results of recently introduced Critical Section Macro-operators (CSMs) whose design is inspired by using lockable resources in critical sections in parallel computing. In particular, we provide results on the IPC-2023 learning track domains and four planners, including the winner of the agile track of the IPC-2023 and a lifted planner.

AB - This extended abstract presents new empirical results of recently introduced Critical Section Macro-operators (CSMs) whose design is inspired by using lockable resources in critical sections in parallel computing. In particular, we provide results on the IPC-2023 learning track domains and four planners, including the winner of the agile track of the IPC-2023 and a lifted planner.

KW - Macro-operators

KW - macros

KW - Critical Section Macros

UR - https://www.scopus.com/pages/publications/105012226939

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DO - 10.1609/socs.v18i1.36006

M3 - Conference contribution

AN - SCOPUS:105012226939

SN - 9781577359012

SN - 1577359011

T3 - The International Symposium on Combinatorial Search

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EP - 256

BT - 18th International Symposium on Combinatorial Search

A2 - Likhachev, Maxim

A2 - Rudová, Hana

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PB - Association for the Advancement of Artificial Intelligence

T2 - 18th International Symposium on Combinatorial Search

Y2 - 12 August 2025 through 15 August 2025

ER -

Critical Section Macros – New Results (Extended Abstract)

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