A Comprehensive Survey of Multiagent Reinforcement Learning
Lucian Buşoniu, Robert Babuška, Bart De Schutter
2008 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 2,206 citations
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in these domains makes them difficult to solve with preprogrammed agent behaviors. The agents must, instead, discover a solution on their own, using learning. A significant part of the research on multiagent learning concerns reinforcement learning techniques. This paper provides a comprehensive survey of multi…
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