Collaborative deep reinforcement learning for solving multi-objective vehicle routing problems

Existing deep reinforcement learning (DRL) methods for multi-objective vehicle routing problems (MOVRPs) typically decompose an MOVRP into subproblems with respective preferences and then train policies to solve corresponding subproblems. However, such a paradigm is still less effective in tackling...

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Main Authors: WU, Yaoxin, FAN, Mingfeng, CAO, Zhiguang, GAO, Ruobin, HOU, Yaqing, SARTORETTI, Guillaume
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9328
https://ink.library.smu.edu.sg/context/sis_research/article/10328/viewcontent/55_AAMAS2024_MOVRP.pdf
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Institution: Singapore Management University
Language: English

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