Add to ORKGSummary. This paper deals with a finite-state, finite-action discrete-time Markov decision model. A linear programming procedure is developed for the computa-tion of optimal policies over the entire range of the discount factor. Furthermore, a procedure is presented for the computation of a Blackwell optimal policy. Zusammenfassung. Diese Arbeit befal~t sich mit diskre-ten Markoffschen Entscheidungsmodellen mit endliche
We consider a discrete time Markov Decision Process, where the objectives are linear combinations of...
This paper presents an axiomatic approach to finite Markov decision processes where the discount rat...
summary:This paper is related to Markov Decision Processes. The optimal control problem is to minimi...
We consider a discrete time Markov Decision Process (MDP) under the discounted payoff criterion in t...
We consider the optimization of finite-state, finite-action Markov Decision processes, under constra...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
This paper analyzes a connection between risk-sensitive and minimax criteria for discrete-time, fini...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
In this paper we consider a constrained optimization of discrete time Markov Decision Processes (MDP...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
textabstractIn this paper we consider a (discrete-time) Markov decision chain with a denumerabloe st...
This paper analyzes a connection between risk-sensitive and minimaxcriteria for discrete-time, finit...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
A Markov decision process (MDP) relies on the notions of state, describing the current situation of ...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
We consider a discrete time Markov Decision Process, where the objectives are linear combinations of...
This paper presents an axiomatic approach to finite Markov decision processes where the discount rat...
summary:This paper is related to Markov Decision Processes. The optimal control problem is to minimi...
We consider a discrete time Markov Decision Process (MDP) under the discounted payoff criterion in t...
We consider the optimization of finite-state, finite-action Markov Decision processes, under constra...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
This paper analyzes a connection between risk-sensitive and minimax criteria for discrete-time, fini...
We consider a discrete time Markov Decision Process with infinite horizon. The criterion to be maxim...
In this paper we consider a constrained optimization of discrete time Markov Decision Processes (MDP...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
textabstractIn this paper we consider a (discrete-time) Markov decision chain with a denumerabloe st...
This paper analyzes a connection between risk-sensitive and minimaxcriteria for discrete-time, finit...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
A Markov decision process (MDP) relies on the notions of state, describing the current situation of ...
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes ...
We consider a discrete time Markov Decision Process, where the objectives are linear combinations of...
This paper presents an axiomatic approach to finite Markov decision processes where the discount rat...
summary:This paper is related to Markov Decision Processes. The optimal control problem is to minimi...