The Minimax Risk for the Two-Armed Bandit Problem. - Bandit Problems with Random Discounting. - Stochastic Approximation on a Bounded Convex Set. - Learning Automaton for Finite Semi-Markov Decision Processes. - A Local Asymptotic Minimax Optimality of an Adaptive Robbins-Monro Stochastic Approximation Procedure. - Dynamic Allocation Indices for Bayesian Bandits. - The Role of Dynamic Allocation Indices in the Evaluation of Suboptimal Strategies for Families of Bandit Processes. - On the Discretization Technique for Optimal Discounted Control of the Wiener Process. - Asymptotic Properties of Learning Models. - On the Infinitesimal Characterization of Monotone Stopping Problems in Continuous Time. - Numerical Investigation of the Two-Armed Bandit. - Uniform Bounds for a Dynamic Programming Model under Adaptive Control Using Exponentially Bounded Error Probabilities. - Stochastic Regression Models and Consistency of the Least Squares Identification Scheme. - Recursive Identification Techniques. - An Optimization Problem for Matrices with Application to Decision Models. - On a Class of Learning Algorithms with Symmetric Behavior under Success and Failure. - Convergence of a General Stochastic Approximation Process under Convex Constraints and Some Applications. - On Kersting's Theorem on Weak Convergence of Recursions. - On Continuous Time Learning Models. - Convergence of Stochastic Approximation Algorithms with Non-Additive Dependent Disturbances and Applications. - Sequential Probability Ratio Tests for Homogeneous Markov Chains. - Allocation Rules for Sequential Clinical Trials. - Non-Deterministic Modelling and its Application in Adaptive Optimal Control. Language: English