Abstract:Multi-agent reinforcement learning (MARL) is gradually becoming an attractive research field of adaptive traffic signal control (ATSC). Nevertheless, in a multi-agent environment, some inherent disadvantages exist, such as the partial observability and non-stationarity caused by the constantly changing decision-making strategies of agents, which have been extensively researched but remain challenging. Herein, NCCLight, which is a fully scalable decentralized MARL model built around an independent advantage act… Show more
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