A new learning algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment

被引:0
|
作者
Baba, N [1 ]
Mogami, Y [1 ]
机构
[1] Osaka Kyoiku Univ, Kashiwara, Osaka 5828582, Japan
关键词
hierarchical structure teaming automata; nonstationary multiteacher environment; relative reward strength algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new algorithm of the hierarchical structure teaming automata operating in the nonstationary multiteacher environment is proposed. It is shown that the proposed algorithm ensures convergence with probability I to the optimal path under certain type of nonstationary multiteacher environment.
引用
收藏
页码:2404 / 2408
页数:5
相关论文
共 50 条