Learning Game Representations from Data Using Rationality Constraints

@inproceedings{Gao2010LearningGR,
  title={Learning Game Representations from Data Using Rationality Constraints},
  author={Xi Alice Gao and Avi Pfeffer},
  booktitle={UAI},
  year={2010}
}
While game theory is widely used to model strategic interactions, a natural question is where do the game representations come from? One answer is to learn the representations from data. If one wants to learn both the payoffs and the players’ strategies, a naive approach is to learn them both directly from the data. This approach ignores the fact the players might be playing reasonably good strategies, so there is a connection between the strategies and the data. The main contribution of this… CONTINUE READING
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