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Decision Making in Uncertain and Changing Environments

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Author Info
Karl Schlag (Pompeu Fabra University)
Andriy Zapechelnyuk () (University of Bonn and Kyiv School of Economics)

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Abstract

We consider an agent who has to repeatedly make choices in an uncertain and changing environment, who has full information of the past, who discounts future payoffs, but who has no prior. We provide a learning algorithm that performs almost as well as the best of a given finite number of experts or benchmark strategies and does so at any point in time, provided the agent is sufficiently patient. The key is to find the appropriate degree of forgetting distant past. Standard learning algorithms that treat recent and distant past equally do not have the sequential epsilon optimality property.

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File URL: http://www.kse.org.ua/RePEc/pdf/KSE_dp19.pdf
File Format: application/pdf
File Function: First version, June 2009
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Publisher Info
Paper provided by Kyiv School of Economics in its series Discussion Papers with number 19.

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Date of creation: Jun 2009
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Handle: RePEc:kse:dpaper:19

Note: Under review in Review of Economic Studies
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Postal: 13 Yakira Str, 04119 Kyiv
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Fax: (38-044)492-8011
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Web page: http://www.kse.org.ua/
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Related research
Keywords: Adaptive learning; experts; distribution-free; epsilon-optimality; Hannan regret;

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Find related papers by JEL classification:
C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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References listed on IDEAS
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. Fudenberg, Drew & Levine, David K., 1999. "Conditional Universal Consistency," Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 104-130, October. [Downloadable!] (restricted)
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  2. Foster, Dean P. & Young, H. Peyton, 2006. "Regret testing: learning to play Nash equilibrium without knowing you have an opponent," Theoretical Economics, Society for Economic Theory, vol. 1(3), pages 341-367, September. [Downloadable!]
  3. Sergiu Hart, 2005. "Adaptive Heuristics," Econometrica, Econometric Society, vol. 73(5), pages 1401-1430, 09. [Downloadable!] (restricted)
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  4. Lehrer, Ehud, 2003. "A wide range no-regret theorem," Games and Economic Behavior, Elsevier, vol. 42(1), pages 101-115, January. [Downloadable!] (restricted)
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  5. Freund, Yoav & Schapire, Robert E., 1999. "Adaptive Game Playing Using Multiplicative Weights," Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 79-103, October. [Downloadable!] (restricted)
  6. Foster, Dean P. & Vohra, Rakesh V., 1997. "Calibrated Learning and Correlated Equilibrium," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 40-55, October. [Downloadable!] (restricted)
  7. Mailath, George J. & Postlewaite, Andrew & Samuelson, Larry, 2005. "Contemporaneous perfect epsilon-equilibria," Games and Economic Behavior, Elsevier, vol. 53(1), pages 126-140, October. [Downloadable!] (restricted)
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  8. Lehrer, Ehud & Solan, Eilon, 2009. "Approachability with bounded memory," Games and Economic Behavior, Elsevier, vol. 66(2), pages 995-1004, July. [Downloadable!] (restricted)
  9. Sergiu Hart & Andreu Mas-Colell, 2000. "A Simple Adaptive Procedure Leading to Correlated Equilibrium," Econometrica, Econometric Society, vol. 68(5), pages 1127-1150, September.
    Other versions:
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This page was last updated on 2009-11-22.


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