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Abstract: We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduced from its previous actions in a multi-stage game, we propose the idea of inferring correlations between agents' actions in different one-shot games in order to predict an agent's action in a game which she did not play yet. We define the approach and show, using real data obtained in experiments with human subjects, the... (Update)
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BibTeX entry: (Update)
@misc{ avivit-learning,
author = "Alon Altman Avivit",
title = "Learning in One-Shot Strategic Form Games",
url = "citeseer.ist.psu.edu/758005.html" }
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