City Metro Network Expansion with Reinforcement Learning

ICLR 2020 Anonymous

This paper presents a method to solve the city metro network expansion problem using reinforcement learning (RL). In this method, we formulate the metro expansion as a process of sequential station selection, and design feasibility rules based on the selected station sequence to ensure the reasonable connection patterns of metro line... (read more)

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