Achieving Target State-Action Frequencies in Multichain Average-Reward Markov Decision Processes

DOI10.1287/moor.27.3.545.316zbMath1082.90579OpenAlexW2012045703MaRDI QIDQ5704096

O. J. Vrieze, Dmitry Krass

Publication date: 11 November 2005

Published in: Mathematics of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/moor.27.3.545.316

zbMATH Keywords

average reward criterionconstrained Markov decision processesstate-action frequenciesMarkov decision processes with nonstandard reward criteriaMarkov process decision

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Markov and semi-Markov decision processes (90C40)

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