Traffic Signal Control with Communicative Deep Reinforcement Learning Agents: a Case Study

Paolo Fazzini, Isaac Wheeler, Francesco Petracchini

In this work we analyze Multi-Agent Advantage Actor-Critic (MA2C) a recently proposed multi-agent reinforcement learning algorithm that can be applied to adaptive traffic signal co…