%0 Journal Article
%A Lorenzo Magán, José María
%T Approximating ergodic average reward continuous: time controlled Markov chains
%D 2010
%@ 0018-9286
%U https://hdl.handle.net/20.500.14352/108643
%X We study the approximation of an ergodic average reward continuous-time denumerable state Markov decision process (MDP) by means of a sequence of MDPs. Our results include the convergence of the corresponding optimal policies and the optimal gains. For a controlled upwardly skip-free process, we show some computational results to illustrate the convergence theorems
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