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A self-attention-based reinforcement learning approach for scheduling twin automated stacking cranes in container terminals

Published Online: 2025-12-29

Published Print: 2026-01

Authors

Dong, Liangcai

Fan, Yang https://orcid.org/0009-0004-8395-6813
Zhu, Zhennan

Liu, Yuheng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52472435)

Science and Technology Commission of Shanghai Municipality (22ZR1427700)

Education and Scientific Research Project of Shanghai (B2023003)
License Information

Text and Data Mining valid from 2025-12-29

Version of Record valid from 2025-12-29
More Information

Article History

Received: 22 August 2025

Accepted: 3 November 2025

First Online: 29 December 2025

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

: Not applicable.

: Not applicable.

: Not applicable.

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