Lear ning ay off Functions in Innite Games vgeniy or obeychik Michael ellman and Satinder Singh Uni ersity of Michigan Articial Intelligence Laboratory Beal enue Ann Arbor MI USA yv orobe ellman ba
edu Abstract consider class of games with realv alued strate gies and payof information ailable only in the form of data from gi en sample of strate gy pro57346les Solving such games with respect to the underlying strate gy space requires generalizin
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