Graph attention networks based multi-agent path finding via temporal-spatial information aggregation.

Graph attention networks based multi-agent path finding via temporal-spatial information aggregation.

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An effective Multi-Agent Path Finding (MAPF) algorithm must efficiently plan paths for multiple agents while adhering to constraints, ensuring safe navigation from start to goal. However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust i...

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Bibliographic Details
Main Authors: Qingling Zhang, Peng Wang, Cui Ni, Xianchang Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0318981
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