Critical Section Macros - New Results (Extended 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.
Authors
- Lukáš Chrpa (ORCID: https://orcid.org/0000-0001-9713-7748)
- Mauro Vallati (ORCID: https://orcid.org/0000-0002-8429-3570)
Institutions
- University of Huddersfield (GB)
- Czech Technical University in Prague (CZ)
Publication Details
- Journal
- Proceedings of the International Symposium on Combinatorial Search
- Published
- 2025-07-20
- DOI
- https://doi.org/10.1609/socs.v18i1.36006
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Grantová Agentura České Republiky