Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey

Abstract

Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theoretical researches and practical applications, currently there have been a lot of efforts towards providing some solutions to this challenge. However, there are still many difficulties in scaling up the multiagent reinforcement learning to multi-robot systems. The main objective of this paper is to provide a survey, though not completely on the multiagent reinforcement learning in multi-robot systems. After reviewing important advances in this field, some challenging problems and promising research directions are analyzed. A concluding remark is made from the perspectives of the authors.