How Deep Reinforcement Learning Shapes 15‑Minute City Community Planning

This article explains how a deep reinforcement learning model, built on a graph‑based representation of urban elements and trained with PPO, can automate land‑use and road planning to achieve Service, Ecology, and Traffic objectives for 15‑minute city neighborhoods.

15-minute cityGraph Neural NetworkPPO

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How Deep Reinforcement Learning Shapes 15‑Minute City Community Planning