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Real-time multi-depot urban logistics optimization in megacities via transformer-based deep reinforcement learning.

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Title: Real-time multi-depot urban logistics optimization in megacities via transformer-based deep reinforcement learning.
Authors: Guan, Qingfeng1,2, Fan, Yunpeng1, Wang, Yujia1, Liang, Lin1, Luo, Peng3, Yao, Yao1,2, yaoy@cug.edu.cn
Source: International Journal of Geographical Information Science; Apr2026, Vol. 40 Issue 4, p1107-1130, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192312449
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Real-time multi-depot urban logistics optimization in megacities via transformer-based deep reinforcement learning.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Apr2026, Vol. 40 Issue 4, p1107-1130, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192312449
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/13658816.2025.2551723
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1107
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      – TitleFull: Real-time multi-depot urban logistics optimization in megacities via transformer-based deep reinforcement learning.
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            NameFull: Fan, Yunpeng
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            NameFull: Wang, Yujia
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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