A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees-Reference-Cited by-同舟云学术

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A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees

Published:2024-04 Issue: Volume:329 Page:104084
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

He Xiaoyu^ORCID,Tang Xueyan,Cai Wentong,Li Jingning

Funder

National Research Foundation of Singapore

Government of Singapore Ministry of Education

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference39 articles.

1. Multi-agent pathfinding: definitions, variants, and benchmarks;Stern,2019

2. Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems;Salzman,2020

3. Heuristic search viewed as path finding in a graph;Pohl;Artif. Intell.,1970

4. Structure and intractability of optimal multi-robot path planning on graphs;Yu,2013

5. Lifelong multi-agent path finding for online pickup and delivery tasks;Ma,2017

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