Name
Title | ||
|---|---|---|
A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming |
Abstract | ||
|---|---|---|
Learning behaviors of the hierarchical structure stochastic automata operating in the nonstationary multiteacher environment are considered. A new learning algorithm which extends the idea of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures convergence to the optimal path under a certain type of the nonstationary multiteacher environment. Learning behaviors of the proposed algorithm are simulated by computer and the results indicate its effectiveness. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30132-5_108 | LECTURE NOTES IN COMPUTER SCIENCE |
Field | DocType | Volume |
Convergence (routing),Mathematical optimization,Computer science,Stochastic automata | Conference | 3213 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.40 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norio Baba | 1 | 134 | 69.58 |
| Yoshio Mogami | 2 | 30 | 8.63 |