Natalia Akchurina

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Reinforcement learning turned out a technique that allowed robots to ride a bicycle, computers to play backgammon on the level of human world masters and solve such complicated tasks of high dimensionality as elevator dispatching. Can it come to rescue in the next generation of challenging problems like playing football or bidding on virtual markets?(More)
This paper is devoted to Nash equilibria of normal-form games. We give a survey on computing Nash equilibria via optimization methods. Further on we prove, that the Nash equilibria of a game coincide with the zeros of a nonlinear, almost everywhere smooth system of equations with the same dimension as the strategy space. Thus, we can apply tools for solving(More)
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