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Optimal learning and experimentation in bandit problems

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  • Brezzi, Monica
  • Lai, Tze Leung
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    File URL: http://www.sciencedirect.com/science/article/B6V85-46H21HP-6/2/e32b2df3402f975035eba6195af8e97c
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    Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

    Volume (Year): 27 (2002)
    Issue (Month): 1 (November)
    Pages: 87-108

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    Handle: RePEc:eee:dyncon:v:27:y:2002:i:1:p:87-108
    Contact details of provider: Web page: http://www.elsevier.com/locate/jedc

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    1. Monica Brezzi & Tze Leung Lai, 2000. "Incomplete Learning from Endogenous Data in Dynamic Allocation," Econometrica, Econometric Society, vol. 68(6), pages 1511-1516, November.
    2. McLennan, Andrew, 1984. "Price dispersion and incomplete learning in the long run," Journal of Economic Dynamics and Control, Elsevier, vol. 7(3), pages 331-347, September.
    3. Banks, Jeffrey S & Sundaram, Rangarajan K, 1994. "Switching Costs and the Gittins Index," Econometrica, Econometric Society, vol. 62(3), pages 687-94, May.
    4. Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
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    Cited by:

    1. Mathur, Sudhanshu & Morozov, Sergei, 2009. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," MPRA Paper 16721, University Library of Munich, Germany.
    2. Thomas Brenner & Nicolaas J. Vriend, 2003. "On the Behavior of Proposers in Ultimatum Games," Working Papers 502, Queen Mary University of London, School of Economics and Finance.
    3. Morozov, Sergei & Mathur, Sudhanshu, 2009. "Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control," MPRA Paper 30298, University Library of Munich, Germany, revised 04 Apr 2011.
    4. Sergei Morozov & Sudhanshu Mathur, 2012. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," Computational Economics, Society for Computational Economics, vol. 40(2), pages 151-182, August.
    5. Kevin Glazebrook & Joern Meissner & Jochen Schurr, 2012. "How big should my store be? On the interplay between shelf-space, demand learning and assortment decisions," Working Papers MRG/0021, Department of Management Science, Lancaster University, revised Dec 2012.

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