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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Autors principals:	Di Zhang, Moyang Wang, Joseph Mango, Xiang Li, Xianrui Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2024-06-01
Col·lecció:	Computational Urban Science
Matèries:	Reinforcement learning Deep Learning Spatial resource allocation Optimization
Accés en línia:	https://doi.org/10.1007/s43762-024-00127-z
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