Abstract
In the Watchman Route Problem (WRP) we are given a grid map with obstacles and the task is to (offline) find a (shortest) path through the grid such that all cells in the map can be visually seen by at least one cell on the path. WRP was recently formalized and optimally solved with heuristic search. In this paper we show how the previous optimal methods can be modified (by intelligently pruning away large subtrees) to obtain suboptimal solvers that are much faster than the optimal solver without sacrificing too much the quality of the solution. In particular, we derive bounded suboptimal solvers, suboptimal solvers without bounds and anytime variants. All these algorithms are backed up with experimental evidence that show their benefits compared to existing approaches.
Original language | English |
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Title of host publication | 14th International Symposium on Combinatorial Search, SoCS 2021 |
Editors | Hang Ma, Ivan Serina |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 106-114 |
Number of pages | 9 |
ISBN (Electronic) | 9781713834557 |
State | Published - 2021 |
Externally published | Yes |
Event | 14th International Symposium on Combinatorial Search, SoCS 2021 - Guangzhou, Virtual, China Duration: 26 Jul 2021 → 30 Jul 2021 |
Publication series
Name | 14th International Symposium on Combinatorial Search, SoCS 2021 |
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Conference
Conference | 14th International Symposium on Combinatorial Search, SoCS 2021 |
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Country/Territory | China |
City | Guangzhou, Virtual |
Period | 26/07/21 → 30/07/21 |
Bibliographical note
Publisher Copyright:Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
The research was supported by Rafael Advanced Defense Systems, by Israel Science Foundation (ISF) grant #844/17 to Ariel Felner and by the Cyber grant by from the Prime Minister office.
Funders | Funder number |
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Rafael Advanced Defense Systems | |
Israel Science Foundation | 844/17 |