An improved multiagent reinforcement learning algorithm

被引：0
|
作者：
Meng, XP [1 ]
Babuska, R [1 ]
Busoniu, L [1 ]
Chen, Y [1 ]
Tan, WY [1 ]
机构：
[1] Changchun Inst Technol, Dept Elect Engn, Changchun, Peoples R China
来源：
2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Proceedings | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that this algorithm has some properties, such as easy computation, simple operation procedure and can guarantee an good learning convergence.
引用
收藏
页码：337 / 343
页数：7
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