Verifiable conditions for average optimality of continuous-time Markov decision processes

In this paper we provide another set of verifiable conditions for the average optimality of continuous-time Markov decision processes (CTMDP) in Polish spaces with unbounded transition rates. Under the new conditions which are imposed on the primitive data of the model of the CTMDP and thus easy to verify, we also establish the existence of an average optimal stationary policy. Finally, we propose two examples to illustrate the newness of the conditions.