market-entry econometric data-analysis exploring regulatory effects on hotel chains in Texas. Before we formalize imitation learning in matrix games, motivate our assumptions and describe and analyze our approach, we review related work.

Related Work
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Many research communities are interested in computational modeling of human behavior and, in particular, in modeling rational and strategic behavior with incomplete knowledge of utility. Here we contrast the contributions of three communities by overviewing their interests and approaches. We conclude by describing our contribution in the same light.

The econometrics community combines microeconomics and statistics to investigate the empirical properties of markets from sales records, census data and other publicly available statistics. McFadden first considered estimating consumer preferences for transportation by assuming them to be rational utility maximizers [@mcfadden74]. Berry, Levinsohn and Pakes estimate both supply and demand-side preferences in settings where the firms must price their goods strategically [@berry95]. Their initial work described a procedure for measuring the desirability of certain automobile criteria, such as fuel economy and features like air conditioning, to determine substitution effects.

The Berry, Levinsohn and Pakes approach and its derivatives can be crudely described as model-fitting techniques. First, a parameterized class of utility functions are assumed for both 