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《Control Theory & Applications》 2003-03
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Survey of distributed reinforcement learning algorithms in multi-agent systems

ZHONG Yu, GU Guo-chang, ZHANG Ru-bo (1.Computer Science and Technology College,Harbin Engineering University,Heilongjiang Harbin 150001,China; (2.Robotics Laboratory,Shenyang Institute of Automation,Chinese Academy of Sciences,Liaoning Shenyang 110015,China)  
The achievements in distributed reinforcement learning algorithms are introduced. The present distributed reinforcement learning algorithms are classified into three categories, and the characteristics and application ranges of three classes of distributed reinforcement learning algorithms are compared. At the end of the article, the problems to be solved and the futher works are discussed.
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