Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 Experience-weighted Attraction Learning in Normal Form Games

Abstract

We describe a general model, `experience-weighted attraction' (EWA) learning, which includes reinforcement learning and a class of weighted ctitious play belief models as special cases. In EWA, strategies have attractions which re ect prior predispositions, are updated based on payo experience, and determine choice probabilities according to some rule (e.g… (More)

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Cite this paper

@inproceedings{Camerer1998DivisionOT, title={Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 Experience-weighted Attraction Learning in Normal Form Games}, author={Colin F. Camerer and Teck-Hua Ho}, year={1998} }