Work

Critical Section Macros - New Results (Extended Abstract)

Year: 2025

Type: conference-paper

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.

Source: Proceedings of the International Symposium on Combinatorial Search

DOI: 10.1609/socs.v18i1.36006

Authors: Lukáš Chrpa, Mauro Vallati

Institutions: Czech Technical University in Prague, University of Huddersfield

Language: English

Topic: AI-based Problem Solving and Planning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: European Commission, Grantová Agentura České Republiky

Awards: G112504165, G2678520069