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.

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Poznyak, A.S.; Najim, Kaddour; Gomez-Ramirez, E.

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