title: A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environment.
abstract: An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability I to the optimal path under the certain type of nonstationary environment. Several computer simulation results confirm the effectiveness of the proposed algorithm.
authors.affiliation: Dept. of Inf. Sci., Osaka Kyoiku Univ., Kashiwara, Japan.
authors.forename: N
authors.initials: N
authors.lastname: Baba
authors.forename: Y
authors.initials: Y
authors.lastname: Mogami