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CityPlanner: A Sandbox Agent for Executable Urban Planning

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09578v1 Announce Type: new Abstract: Urban planning is a real-world spatial optimization problem that requires selecting feasible actions from large candidate spaces under practical objectives such as cost and service quality. Existing optimization and reinforcement learning methods are…

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  1. 2026-09-10 04:00 · arXiv cs.AI
    CityPlanner: A Sandbox Agent for Executable Urban Planning

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