Optimizing the spatial layout of urban service facilities under benefit uncertainty: a Bayesian-guided hierarchical reinforcement learning framework
Spatial layout optimization of urban service facilities aims to maximize system-wide locational benefits through rational facility placement. However, due to pronounced spatial heterogeneity and nonlinear interactions among urban environmental features, locational benefits vary significantly across regions and are subj...
Yijie Lyu, Baoju Liu, Yalun Li et al.
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