Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Armando F. Mendoza-Pérez"'
Publikováno v:
Mathematical Methods of Operations Research. 84:489-525
In this paper we study discrete-time Markov decision processes in Borel spaces with a finite number of constraints and with unbounded rewards and costs. Our aim is to provide a simple method to compute constrained optimal control policies when the pa
Publikováno v:
Journal of Mathematical Analysis and Applications. 437:999-1035
In this paper we introduce two useful methods to compute optimal control policies for either the discounted or the average payoff criterion with cost constraints when the dynamic system evolves as a n -dimensional diffusion processes. As for the attr
Publikováno v:
Optimization. 64:179-196
This article concerns n-dimensional controlled diffusion processes. The main problem is to maximize a certain long-run average reward (also known as an ergodic reward) in such a way that a given long-run average cost is bounded above by a constant. U
Publikováno v:
Optimization. 61:1427-1447
This article is concerned with the limiting average variance for discrete-time Markov control processes in Borel spaces, subject to pathwise constraints. Under suitable hypotheses we show that within the class of deterministic stationary optimal poli
Publikováno v:
Journal of Applied Probability. 47:778-795
In this paper we study the asymptotic normality of discrete-time Markov control processes in Borel spaces, with possibly unbounded cost. Under suitable hypotheses, we show that the cost sequence is asymptotically normal. As a special case, we obtain
Publikováno v:
Mathematical Methods of Operations Research. 71:477-502
This paper deals with discrete-time Markov control processes in Borel spaces, with unbounded rewards. The criterion to be optimized is a long-run sample-path (or pathwise) average reward subject to constraints on a long-run pathwise average cost. To