Self-Learning Control of Finite Markov Chains

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314 pages 2000

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"This rigorously focused reference/text presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains - efficiently processing new information by adjusting control strategies directly or indirectly.".

"Featuring highly practical MATLAB programs for instruction and elaboration of key concepts, Self-Learning Control of Finite Markov Chains is a versatile reference for electrical, electronics, control, and software engineers; mathematicians; statisticians; and economists involved in stochastic games; and an invaluable text for upper-level undergraduate and graduate students in these disciplines."--BOOK JACKET.

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