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AGRCNet: communicate by attentional graph relations in multi-agent reinforcement learning for traffic signal control

Published Online: 2023-07-30

Published Print: 2023-10

Authors

Ma, Tinghuai

Peng, Kexing https://orcid.org/0000-0002-2712-9088
Rong, Huan

Qian, Yurong
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (No.2021YFE014400)

Deanship of Scientific Research, King Saud University (RGP-1441-33)
License Information

Text and Data Mining valid from 2023-07-30

Version of Record valid from 2023-07-30
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Article History

Received: 19 September 2022

Accepted: 12 July 2023

First Online: 30 July 2023

Declarations

:

: The authors declare that they have no conflict of interest.

: The authors approve that the research presented in this paper is conducted following the principles of ethical and professional conduct.

: Not applicable.

: Not applicable.

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