This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Denumerable-Armed Bandits

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Banks, Jeffrey S
Sundaram, Rangarajan K

Additional information is available for the following registered author(s):

Abstract

This paper studies the class of denumerable-armed (i.e., finite- or countably infinite-armed) Bandit problems with independent arms and geometric discounting over an infinite horizon in which each arm generates rewards according to one of a finite number of distributions. The authors derive certain continuity and curvature properties of the Gittins Index, and provide necessary and sufficient conditions under which this index characterizes the optimal strategies. They then show that at each point in time the arm selected by an optimal strategy will, with positive probability, remain an optimal selection forever. Copyright 1992 by The Econometric Society.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://links.jstor.org/sici?sici=0012-9682%28199209%2960%3A5%3C1071%3ADB%3E2.0.CO%3B2-O&origin=repec
File Format: application/pdf
File Function: full text
Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 60 (1992)
Issue (Month): 5 (September)
Pages: 1071-96
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ecm:emetrp:v:60:y:1992:i:5:p:1071-96

Contact details of provider:
Phone: 1 212 998 3820
Fax: 1 212 995 4487
Email:
Web page: http://www.econometricsociety.org/
More information through EDIRC

Order Information:
Email:
Web: http://www.blackwellpublishing.com/memb.asp?ref=0012-9682

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Elena Pastorino, 2004. "Optimal Job Design and Career Dynamics in the Presence of Uncertainty," Econometric Society 2004 North American Summer Meetings 292, Econometric Society. [Downloadable!]
  2. Luis Araujo & Braz Camargo, 2005. "Monetary Equilibrium with Decentralized Trade and Learning," UWO Department of Economics Working Papers 20051, University of Western Ontario, Department of Economics. [Downloadable!]
  3. Chien-Tai Lin & C. Shiau, 2000. "Some Optimal Strategies for Bandit Problems with Beta Prior Distributions," Annals of the Institute of Statistical Mathematics, Springer, vol. 52(2), pages 397-405, June. [Downloadable!] (restricted)
  4. Dirk Bergemann & Juuso Valimaki, 1996. "Learning and Strategic Pricing," Cowles Foundation Discussion Papers 1113, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? About 2700 working paper series are listed on RePEc.

This page was last updated on 2009-12-8.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.