Self-Learning Control of Finite Markov Chains
Alexander S. Poznyak, Kaddour Najim, Eduardo Gomez-Ramirez · 2018
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.