Learning by imitation in games: theory, field, and laboratory
We exploit a unique opportunity to study how a large population of players in the field learn to play a novel game with a complicated and non-intuitive mixed strategy equilibrium. We argue that standard models of belief-based learning and reinforcement learning are unable to explain the data, but t...
Main Authors: | Mohlin, E, Ostling, R, Wang, J |
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Format: | Working paper |
Published: |
University of Oxford
2014
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