The Determination of Approximately Optimal Policies in Markov Decision Processes by the Use of Bounds

DOI10.2307/2581490zbMath0477.90082OpenAlexW4253745705MaRDI QIDQ3934167

Douglas J. White

Publication date: 1982

Published in: The Journal of the Operational Research Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2581490

zbMATH Keywords

Markov decision processapproximately optimal policiesHoward's policy space methodapproximation of optimal performance levelderivation of upper and lower bounds

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Markov and semi-Markov decision processes (90C40)

Related Items (2)

Approximate receding horizon approach for Markov decision processes: average reward case ⋮ Solving infinite horizon discounted Markov decision process problems for a range of discount factors

This page was built for publication: The Determination of Approximately Optimal Policies in Markov Decision Processes by the Use of Bounds