STMARL combines graph attention, LSTM memory, and distributed deep Q-learning to coordinate traffic lights, and reports lower average travel times than comparison methods in simulation.
Bidirectionally coupled network and road traffic simulation for improved IVC analysis,
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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
STMARL combines graph attention, LSTM memory, and distributed deep Q-learning to coordinate traffic lights, and reports lower average travel times than comparison methods in simulation.