Add to ORKGWe give mild conditions for the existence of optimal solutions for a Markov decision problem with average cost, under m constraints of the same kind, in Borel actions and states spaces. Moreover, there is an optimal policy that is a convex combination of at most m + 1 deterministic policies
AbstractThis paper establishes a rather complete optimality theory for the average cost semi-Markov ...
This note considers finite state and action spaces controlled Markov chains with multiple costs. The...
We consider partially observable Markov decision processes with finite or countably infinite (core) ...
We give mild conditions for the existence of optimal solutions for a Markov decision problem with av...
International audienceThis paper deals with discrete-time Markov Decision Processes (MDP's) under co...
This paper deals with discrete-time Markov Decision Processes (MDP's) under constraints where all th...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
summary:In this paper we give a new set of verifiable conditions for the existence of average optima...
I $\mathrm{G} $ (Youqiang HUANG) Constrained Markov decision processes with compact state and action...
summary:In this paper we give a new set of verifiable conditions for the existence of average optima...
This paper presents sufficient conditions for the existence of stationary optimal policies for avera...
For general state and action space Markov decision processes, we present sufficient conditions for t...
We consider partially observable Markov decision processes with finite or count-ably infinite (core)...
AbstractThis paper is a sequel to Kurano [1,2], in which average cost Markov decision process (MDPs)...
AbstractThis paper establishes a rather complete optimality theory for the average cost semi-Markov ...
This note considers finite state and action spaces controlled Markov chains with multiple costs. The...
We consider partially observable Markov decision processes with finite or countably infinite (core) ...
We give mild conditions for the existence of optimal solutions for a Markov decision problem with av...
International audienceThis paper deals with discrete-time Markov Decision Processes (MDP's) under co...
This paper deals with discrete-time Markov Decision Processes (MDP's) under constraints where all th...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
summary:In this paper we give a new set of verifiable conditions for the existence of average optima...
I $\mathrm{G} $ (Youqiang HUANG) Constrained Markov decision processes with compact state and action...
summary:In this paper we give a new set of verifiable conditions for the existence of average optima...
This paper presents sufficient conditions for the existence of stationary optimal policies for avera...
For general state and action space Markov decision processes, we present sufficient conditions for t...
We consider partially observable Markov decision processes with finite or count-ably infinite (core)...
AbstractThis paper is a sequel to Kurano [1,2], in which average cost Markov decision process (MDPs)...
AbstractThis paper establishes a rather complete optimality theory for the average cost semi-Markov ...
This note considers finite state and action spaces controlled Markov chains with multiple costs. The...
We consider partially observable Markov decision processes with finite or countably infinite (core) ...