Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning

10 Aug 2019 Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai

Finding the optimal signal timing strategy is a difficult task for the problem of large-scale traffic signal control (TSC). Multi-Agent Reinforcement Learning (MARL) is a promising method to solve this problem... (read more)

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Methods used in the Paper

Double Q-learning
Off-Policy TD Control
Off-Policy TD Control