Self-Learning Control of Finite Markov Chains

By: A.S. Poznyak, Kaddour Najim, E. Gomez-Ramirez

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eText | 3 October 2018 | Edition Number 1

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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 the control strategies directly or indirectly.