Efficient algorithmic methods for Nash equilibria computation

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Abstract

One of the remaining problems with Nash equilibria is the lack of efficiency of best known algorithms. In general case their worst complexity is . Those algorithms are usually old, and aren't likely to be improved. This study focuses first on main algorithms and methods and explains their advantages and their weaknesses. It then introduces a new algorithm developed at the LRDE based on a geometrical approach: a TOP computing method in dimensions.