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Strategic learning and its limits

Abstract:
Provides a theoretical framework for thinking about strategic learning and highlights achievements in the theoretical literature on learning in games. Characterizes the long-run behavior of different kinds of learning rules, addressing whether they converge to--or at least tend toward--something that can be construed as an equilibrium of the game. Discusses the interactive learning problem; reinforcement learning and learning procedures which rely on regret; alternative notions of both convergence and equilibrium; conditional no-regret learning; prediction and calibration; fictitious play and its variants; Bayesian learning; and hypothesis testing. Young is Scott and Barbara Black Professor of Economics at Johns Hopkins University and Professorial Fellow at Nuffield College, University of Oxford. Index.

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Publisher:
Oxford University Press
Host title:
Arne Ryde Memorial Lectures 2002
Place of publication:
Oxford and New York
Publication date:
2004-01-01
ISBN:
0-19-926918-1


Language:
English
UUID:
uuid:f7aa1c51-8b19-4e83-b695-9a7cd6402b66
Local pid:
oai:economics.ouls.ox.ac.uk:9512
Deposit date:
2011-08-16
ARK identifier:

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