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《Journal of Liaoning Agricultural College》 2008-05
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Q-Learning in Multi-Agent Systems

ZHAN Zhong-li1,WANG Qiang1,WANG Peixia2 (1.Jilin Technology University of Electric Information,Jilin 132012,China 2.Liaoning Agricultural College,Yingkou,115009,China)  
Reinforcement Learning(RL)is an important branch of machine learning and Q-learning is a typical RL.The learning process adjusts its actions according to external signals from interactions with the environment.I proposed a improved Multi-Agent System Reinforcement Learning Algorithm,which can extend Q-Learning Algorithm to Multi-Agent System via sharing all of Agents' information.
【CateGory Index】: TP18
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