Lipschitz Continuity of Value Functions in Markovian Decision Processes
K. Hinderer ()
Mathematical Methods of Operations Research, 2005, vol. 62, issue 1, 3-22
Abstract:
We present tools and guidelines for investigating Lipschitz continuity of the value functions in MDP’s, using the Hausdorff metric and the Kantorovich metric for measuring the influence of the constraint set and the transition law, respectively. The methods are explained by examples. Additional topics include an application to the the discretization algorithm of Bertsekas (1975). Copyright Springer-Verlag Berlin Heidelberg 2005
Keywords: Markovian decision processes; Lipschitz continuity; approximate solution of MDP’s by discretization; 90C40; 47J10 (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00186-005-0438-1 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mathme:v:62:y:2005:i:1:p:3-22
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s00186-005-0438-1
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().