Abstract | ||
---|---|---|
Two nonlinear reinforcement schemes [2], [8] for variable-structure stochastic automata are discussed. It is proved that they can ensure ε-optimality under certain conditions. |
Year | DOI | Venue |
---|---|---|
1974 | 10.1109/TSMC.1974.5408538 | IEEE Transactions on Systems, Man, and Cybernetics |
Keywords | Field | DocType |
image processing,pattern recognition,quantization,fast fourier transforms,fourier transforms,speech synthesis,stochastic processes | Mathematical optimization,Nonlinear system,Learning automata,Computer science,Image coding,Stochastic process,Fast Fourier transform,Artificial intelligence,Quantization (signal processing),Stochastic automata,Reinforcement,Machine learning | Journal |
Volume | Issue | ISSN |
SMC | 1 | 0018-9472 |
Citations | PageRank | References |
3 | 0.90 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yoshikazu Sawaragi | 1 | 34 | 71.34 |
Norio Baba | 2 | 134 | 69.58 |