Optimal policies about discounted vector-valued Markovian decision programming and its algorithms
type: Item
instance of: scholarly article
title: Optimal policies about discounted vector-valued Markovian decision programming and its algorithms
zbMATH Open document ID: 0792.90087
author: Ke Liu
author: Jianyong Liu
published in: Southeast Asian Bulletin of Mathematics
publication date: 1993-06-29T00:00:00Z
review text: The paper deals with a discounted vector-valued Markov decision process with discrete time and with a countable state set, countable compact action sets, continuous transition probabilities, and continuous uniformly bounded reward functions. The authors describe the set of lexicographical optimal strategies and provide an algorithm for their computation.
Mathematics Subject Classification ID: 90C40
zbMATH DE Number: 220706
zbMATH Keywords: discounted vector-valued Markov decision process
zbMATH Keywords: discrete time
zbMATH Keywords: countable state set
zbMATH Keywords: countable compact action sets
zbMATH Keywords: continuous transition probabilities
zbMATH Keywords: continuous uniformly bounded reward functions
zbMATH Keywords: lexicographical optimal strategies
reviewed by: Eugene A. Feinberg
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 220706