Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Continuous-Time Markov Decision Processes
This paper is concerned with the asymptotic optimality of quantized stationary policies for continuous-time Markov decision processes (CTMDPs) in Polish spaces with state-dependent discount factors, lock shock and barrel art where the transition rates and reward rates are allowed to be unbounded.Using the dynamic programming approach, we first esta