Employing the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network

Abstract

AbstractTraffic signal control is a difficult task to ensure the performance of traffic networks in major cities around the world. Multiagent reinforcement learning (MARL) is a promising approach for traffic light management. As the number of agents ...