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Learning extremal regulator implementation by a stochastic automaton and stochastic approximation theory. (English) Zbl 0495.68080

MSC:

68T05 Learning and adaptive systems in artificial intelligence
68Q45 Formal languages and automata
62L20 Stochastic approximation
68W99 Algorithms in computer science
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References:

[1] A. Paz: Introduction to probabilistic automata. Academic Press, New York and London 1971. · Zbl 0234.94055
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[3] В. И. Варшавский И. П. Воронцова: О поведении стохастических автоматов с переменной структурой. Автоматика и телемеханика 24 (1963), 353 - 360. · Zbl 1214.14039
[4] K. S. Fu T. J. Li: Formulation of learning automata and automata games. Information Sciences 1 (1969), 237-256. · doi:10.1016/S0020-0255(69)80010-1
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[8] K. S. Fu: Stochastic automata as models of learning systems. Proc. Symp. Cop. Information Sci., Columbus, Ohio, 1966.
[9] K. S. Fu Z. J. Nikolic: On some reinforcement techniques and their relation to the stochastic approximation. IEEE Trans. AC-11 (1966), 756-758.
[10] K. S. Narendra M. A. L. Thathachar: Learnig automata - a survey. IEEE Trans. SMC-4 (1974), 323-334. · Zbl 0279.68067
[11] Y. Sawaragi N. Baba: Two \(\epsilon\)-optimal nonlinear reinforcement schemes for stochastic automata. IEEE Trans. SMC-4 (1974), 126-131. · Zbl 0276.94021 · doi:10.1109/TSMC.1974.5408538
[12] R. Viswanathan K. S. Narendra: Games of stochastic automata. IEEE Trans. SMC-4 (1974), 131-135. · Zbl 0294.94031 · doi:10.1109/TSMC.1974.5408539
[13] Z. Kotek I. Brůha V. Chalupa J. Jelínek: Adaptive and learning systems. (Czech). SNTL Praha, 1980.
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