Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information...
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
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Author / Creator
Li, Mengyuan , Guo, Bin , Zhang, Jiangshan , Liu, Jiaqi , Liu, Sicong , Yu, Zhiwen , Li, Zhetao and Liyao Xiang
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Automated Guided Vehicles (AGVs) have been widely used for material handling in flexible shop floors. Each product requires various raw materials to complete the assembly in production process. AGVs are used to realize the automatic handling of raw materials in different locations. Efficient AGVs task allocation strategy can reduce transportation c...
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Full title
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
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Record Identifier
TN_cdi_proquest_journals_2562085117
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2562085117
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E-ISSN
2331-8422
