Optimal learning and experimentation in bandit problems
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 27 (2002)
Issue (Month): 1 (November)
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- 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.
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
- Banks, Jeffrey S & Sundaram, Rangarajan K, 1994. "Switching Costs and the Gittins Index," Econometrica, Econometric Society, vol. 62(3), pages 687-94, May.
- Monica Brezzi & Tze Leung Lai, 2000. "Incomplete Learning from Endogenous Data in Dynamic Allocation," Econometrica, Econometric Society, vol. 68(6), pages 1511-1516, November.
- T. Brenner & N.J. Vriend, 2003.
"On the Behavior of Proposers in Ultimatum Games,"
Papers on Economics and Evolution
2003-08, Max Planck Institute of Economics, Evolutionary Economics Group.
- 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.
- Thomas Brenner & Nicolaas J. Vriend, 2003. "On the Behavior of Proposers in Ultimatum Games," CEEL Working Papers 0304, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
- 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.
- 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.
- 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.
- 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.
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