A Moreau-Yosida regularization for Markov decision processes

Abstract This paper addresses a class of sequential optimization problems known as Markov decision processes. These kinds of processes are considered on Euclidean state and action spaces with the total expected discounted cost as the objective function. The main goal of the paper is to provide condi...

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Autores principales: Ortega-Gutiérrez,R. Israel, Cruz-Suárez,Hugo
Lenguaje:English
Publicado: Universidad Católica del Norte, Departamento de Matemáticas 2021
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000100117
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spelling oai:scielo:S0716-091720210001001172021-01-26A Moreau-Yosida regularization for Markov decision processesOrtega-Gutiérrez,R. IsraelCruz-Suárez,Hugo Discounted Markov decision processes Uniqueness of optimal policies, Moreau-Yosida regularization Abstract This paper addresses a class of sequential optimization problems known as Markov decision processes. These kinds of processes are considered on Euclidean state and action spaces with the total expected discounted cost as the objective function. The main goal of the paper is to provide conditions to guarantee an adequate Moreau-Yosida regularization for Markov decision processes (named the original process). In this way, a new Markov decision process that conforms to the Markov control model of the original process except for the cost function induced via the Moreau-Yosida regularization is established. Compared to the original process, this new discounted Markov decision process has richer properties, such as the differentiability of its optimal value function, strictly convexity of the value function, uniqueness of optimal policy, and the optimal value function and the optimal policy of both processes, are the same. To complement the theory presented, an example is provided.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.40 n.1 20212021-02-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000100117en10.22199/issn.0717-6279-2021-01-0008
institution Scielo Chile
collection Scielo Chile
language English
topic Discounted Markov decision processes
Uniqueness of optimal policies, Moreau-Yosida regularization
spellingShingle Discounted Markov decision processes
Uniqueness of optimal policies, Moreau-Yosida regularization
Ortega-Gutiérrez,R. Israel
Cruz-Suárez,Hugo
A Moreau-Yosida regularization for Markov decision processes
description Abstract This paper addresses a class of sequential optimization problems known as Markov decision processes. These kinds of processes are considered on Euclidean state and action spaces with the total expected discounted cost as the objective function. The main goal of the paper is to provide conditions to guarantee an adequate Moreau-Yosida regularization for Markov decision processes (named the original process). In this way, a new Markov decision process that conforms to the Markov control model of the original process except for the cost function induced via the Moreau-Yosida regularization is established. Compared to the original process, this new discounted Markov decision process has richer properties, such as the differentiability of its optimal value function, strictly convexity of the value function, uniqueness of optimal policy, and the optimal value function and the optimal policy of both processes, are the same. To complement the theory presented, an example is provided.
author Ortega-Gutiérrez,R. Israel
Cruz-Suárez,Hugo
author_facet Ortega-Gutiérrez,R. Israel
Cruz-Suárez,Hugo
author_sort Ortega-Gutiérrez,R. Israel
title A Moreau-Yosida regularization for Markov decision processes
title_short A Moreau-Yosida regularization for Markov decision processes
title_full A Moreau-Yosida regularization for Markov decision processes
title_fullStr A Moreau-Yosida regularization for Markov decision processes
title_full_unstemmed A Moreau-Yosida regularization for Markov decision processes
title_sort moreau-yosida regularization for markov decision processes
publisher Universidad Católica del Norte, Departamento de Matemáticas
publishDate 2021
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172021000100117
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