Scalable Reinforcement Learning Policies for Multi-Agent Control

Christopher D. Hsu, Heejin Jeong, George J. Pappas +1

We develop a Multi-Agent Reinforcement Learning (MARL) method to learn scalable control policies for target tracking. Our method can handle an arbitrary number of pursuers and targ…