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This book examines a conceptual framework for studying strategic learning. Topics include interactive learning problem …; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and … its variants; Bayesian learning; and hypothesis testing. …
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several well-known learning processes in the minority game with an arbitrary odd number of players. Interestingly, different … learning processes provide considerably different predictions …
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I present a model of observational learning with payoff interdependence. Agents, ordered in a sequence, receive private … signals about an uncertain state of the world and sample previous actions. Unlike in standard models of observational learning … unbounded strength there is learning in a strong sense: agents' actions are ex-post optimal given both the state of the world …
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factors. We illustrate our algorithms in a learning version of the classical newsvendor problem, where due to lost sales, only …
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