A Multi-Agent Deep Reinforcement Learning Approach for Multiple AGVs Scheduling in Automated Container Terminals

Fei Wang; Pansheng Ding; Yannan Bi; Jianbin Qiu

doi:10.1109/cac63892.2024.10865584

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JOURNAL ARTICLE

A Multi-Agent Deep Reinforcement Learning Approach for Multiple AGVs Scheduling in Automated Container Terminals

Fei Wang Pansheng Ding Yannan Bi Jianbin Qiu

Year: 2024 Pages: 3564-3569

DOI: 10.1109/cac63892.2024.10865584

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Keywords:

Reinforcement learning Computer science Container (type theory) Scheduling (production processes) Distributed computing Artificial intelligence Engineering Operations management

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Advanced Manufacturing and Logistics Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

A Multi-Agent Deep Reinforcement Learning Approach for Multiple AGVs Scheduling in Automated Container Terminals

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