Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00355519" target="_blank" >RIV/68407700:21240/21:00355519 - isvavai.cz</a>
Result on the web
<a href="https://ojs.aaai.org/index.php/SOCS/article/view/18582" target="_blank" >https://ojs.aaai.org/index.php/SOCS/article/view/18582</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering
Original language description
We introduce multi-goal multi agent path finding (MG- MAPF) which generalizes the standard discrete multi-agent path finding (MAPF) problem. While the task in MAPF is to navigate agents in an undirected graph from their starting vertices to one individual goal vertex per agent, MG-MAPF assigns each agent multiple goal vertices and the task is to visit each of them at least once.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Symposium on Combinatorial Search
ISBN
9781713834557
ISSN
—
e-ISSN
—
Number of pages
3
Pages from-to
197-199
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Virtual conference
Event date
Jul 26, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—