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Multi-Agent Reinforcement Learning: A Survey
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
doi:10.1109/icarcv.2006.345353
dblp:conf/icarcv/BusoniuBS06
fatcat:5lo6wzdlbncybbb2uu4bdrzsqq