Multi-Agent Reinforcement Learning: A Survey

Lucian Busoniu, Robert Babuska, Bart De Schutter
2006 2006 9th International Conference on Control, Automation, Robotics and Vision  
Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, economics. Many tasks arising in these domains require that the agents learn behaviors online. A significant part of the research on multi-agent learning concerns reinforcement learning techniques. However, due to different viewpoints on central issues, such as the formal statement of the learning goal, a large number of different methods and approaches have
more » ... been introduced. In this paper we aim to present an integrated survey of the field. First, the issue of the multi-agent learning goal is discussed, after which a representative selection of algorithms is reviewed. Finally, open issues are identified and future research directions are outlined.
doi:10.1109/icarcv.2006.345353 dblp:conf/icarcv/BusoniuBS06 fatcat:5lo6wzdlbncybbb2uu4bdrzsqq