A multi-agent reinforcement learning approach for ART adaptive control in automated container terminals

Yu Zhang; Caiyun Yang; Chuanjie Zhang; Kexin Tang; Wenfeng Zhou; Junjie Wang

doi:10.1016/j.cie.2024.110264

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A multi-agent reinforcement learning approach for ART adaptive control in automated container terminals

Yu Zhang Caiyun Yang Chuanjie Zhang Kexin Tang Wenfeng Zhou Junjie Wang

Year: 2024 Journal: Computers & Industrial Engineering Vol: 193 Pages: 110264-110264 Publisher: Elsevier BV

DOI: 10.1016/j.cie.2024.110264

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Keywords:

Container (type theory) Reinforcement learning Reinforcement Computer science Control (management) Artificial intelligence Engineering Structural engineering Mechanical engineering

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Advanced Manufacturing and Logistics Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Elevator Systems and Control

Physical Sciences → Engineering → Control and Systems Engineering

Mobile Agent-Based Network Management

Physical Sciences → Computer Science → Computer Networks and Communications

A multi-agent reinforcement learning approach for ART adaptive control in automated container terminals

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