AbstractThis paper first investigates the nonstationary continuous time Markov decision processes with discounted criterion. The state space S and the action sets A(i) are countable, the transition rates qij(t, a) and the reward rate functions ri(t, a) are nonhomogeneous. Using the operator method, we deal with the optimality equation and the existence of ϵ optimal policies of this model
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
summary:In this paper there are considered Markov decision processes (MDPs) that have the discounted...
AbstractWe consider a Markov decision process with an uncountable state space and multiple rewards. ...
AbstractThis paper first investigates the nonstationary continuous time Markov decision processes wi...
AbstractThis paper deals with the nonstationary continuous time Markov decision process in a semi-Ma...
In this article, we study continuous-time Markov decision processes in Polish spaces. The optimality...
AbstractTime Markov decision processes with countable states and actions continuous are discussed wi...
AbstractContinuous time Markovian decision models with countable state space are investigated. The e...
summary:In this paper, we study continuous time Markov decision processes (CTMDPs) with a denumerabl...
This paper presents sufficient conditions for the existence of stationary optimal policies for avera...
We shall be concerned with the optimization problem of semi-Markov decision processes with countable...
AbstractWe consider a Markov decision process with an uncountable state space for which the vector p...
AbstractThis paper deals with the average expected reward criterion for continuous-time Markov decis...
This paper considers Markov decision processes (MDPs) with unbounded rates, as a function of state. ...
The paper deals with continuous time Markov decision processes on a fairly general state space. The ...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
summary:In this paper there are considered Markov decision processes (MDPs) that have the discounted...
AbstractWe consider a Markov decision process with an uncountable state space and multiple rewards. ...
AbstractThis paper first investigates the nonstationary continuous time Markov decision processes wi...
AbstractThis paper deals with the nonstationary continuous time Markov decision process in a semi-Ma...
In this article, we study continuous-time Markov decision processes in Polish spaces. The optimality...
AbstractTime Markov decision processes with countable states and actions continuous are discussed wi...
AbstractContinuous time Markovian decision models with countable state space are investigated. The e...
summary:In this paper, we study continuous time Markov decision processes (CTMDPs) with a denumerabl...
This paper presents sufficient conditions for the existence of stationary optimal policies for avera...
We shall be concerned with the optimization problem of semi-Markov decision processes with countable...
AbstractWe consider a Markov decision process with an uncountable state space for which the vector p...
AbstractThis paper deals with the average expected reward criterion for continuous-time Markov decis...
This paper considers Markov decision processes (MDPs) with unbounded rates, as a function of state. ...
The paper deals with continuous time Markov decision processes on a fairly general state space. The ...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
summary:In this paper there are considered Markov decision processes (MDPs) that have the discounted...
AbstractWe consider a Markov decision process with an uncountable state space and multiple rewards. ...