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HGN-MAAERL: Hetergeneous graph neighborhood-based multi-agent asynchronous edge reinforcement learning for efficient multiple unmanned vehicles collaboration

Crossref DOI link: https://doi.org/10.1007/s10586-025-05485-9

Published Online: 2025-09-15

Published Print: 2025-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Huang, Feiyang

Hu, Ruihan

Cao, Qiming

He, Xiangdong
Funding

Funding for this research was provided by:

National Key Research and Development Program of Heilongjiang (2022ZX01A11)

Natural Science Foundation of Guangdong Province (2022A1515011749)

Natural Science Foundation of Heilongjiang Province (LH2023F001)

Guangzhou Basic Research Program (202201010660)

China Post-doctoral science foundation (2023M740938)

National Key Research and Development Program of China (2023YFF0905500)

Basic and Applied Basic Research Foundation of Guangdong Province (2022A1515110007)
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Text and Data Mining valid from 2025-09-15

Version of Record valid from 2025-09-15
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Article History

Received: 19 November 2024

Revised: 14 April 2025

Accepted: 3 May 2025

First Online: 15 September 2025

Declarations

:

: The authors declare no competing interests.

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