Sciweavers

TSMC
2002

A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm

13 years 10 months ago
A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability 1 to the optimal path under the certain type of nonstationary environment. Several computer simulation results confirm the effectiveness of the proposed algorithm.
Norio Baba, Yoshio Mogami
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TSMC
Authors Norio Baba, Yoshio Mogami
Comments (0)