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A survey on applications of reinforcement learning in spatial resource allocation

Abstract The challenge of spatial resource allocation is pervasive across various domains such as transportation, industry, and daily life. As the scale of real-world issues continues to expand and demands for real-time solutions increase, traditional algorithms face significant computational pressu...

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Detaylı Bibliyografya
Asıl Yazarlar: Di Zhang, Moyang Wang, Joseph Mango, Xiang Li, Xianrui Xu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer 2024-06-01
Seri Bilgileri:Computational Urban Science
Konular:
Online Erişim:https://doi.org/10.1007/s43762-024-00127-z
Etiketler: Etiketle
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