AbstractThe solvability of the functional equations of communicating Markov decision processes is demonstrated by an elementary application of the Brouwer fixed-point mapping theorem. The technical assumptions include finite state space and finite or compact action spaces
AbstractWe deal with a discrete-time finite horizon Markov decision process with locally compact Bor...
We formally verify executable algorithms for solving Markov decision processes (MDPs) in the interac...
AbstractThe following optimality principle is established for finite undiscounted or discounted Mark...
AbstractThe solvability of the functional equations of communicating Markov decision processes is de...
AbstractWe show that there exists a solution to the infinite horizon, finite state space, continuous...
AbstractThe functional equations of undiscounted, stationary, infinite horizon Markov renewal progra...
We establish the existence of a solution to the optimality equation for discounted finite Markov dec...
AbstractThis note considers the conditions that have been put on the set of transition matrices of f...
AbstractThe following optimality principle is established for finite undiscounted or discounted Mark...
AbstractThe coupled functional equations of undiscounted multichain semi-Markovian decision processe...
In this paper we present a mixed–integer programming formulation that computes the optimal solution ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractFinite and infinite planning horizon Markov decision problems are formulated for a class of ...
Let (Xn) be a Markov process (in discrete time) with I state space E, I transition kernel Qn(·|x). L...
AbstractMost quantities of interest in discounted and undiscounted (semi-) Markov decision processes...
AbstractWe deal with a discrete-time finite horizon Markov decision process with locally compact Bor...
We formally verify executable algorithms for solving Markov decision processes (MDPs) in the interac...
AbstractThe following optimality principle is established for finite undiscounted or discounted Mark...
AbstractThe solvability of the functional equations of communicating Markov decision processes is de...
AbstractWe show that there exists a solution to the infinite horizon, finite state space, continuous...
AbstractThe functional equations of undiscounted, stationary, infinite horizon Markov renewal progra...
We establish the existence of a solution to the optimality equation for discounted finite Markov dec...
AbstractThis note considers the conditions that have been put on the set of transition matrices of f...
AbstractThe following optimality principle is established for finite undiscounted or discounted Mark...
AbstractThe coupled functional equations of undiscounted multichain semi-Markovian decision processe...
In this paper we present a mixed–integer programming formulation that computes the optimal solution ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractFinite and infinite planning horizon Markov decision problems are formulated for a class of ...
Let (Xn) be a Markov process (in discrete time) with I state space E, I transition kernel Qn(·|x). L...
AbstractMost quantities of interest in discounted and undiscounted (semi-) Markov decision processes...
AbstractWe deal with a discrete-time finite horizon Markov decision process with locally compact Bor...
We formally verify executable algorithms for solving Markov decision processes (MDPs) in the interac...
AbstractThe following optimality principle is established for finite undiscounted or discounted Mark...
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