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On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games

AAAI 2021 · Multi-agent systems and games › Games and equilibria · approach: Opponent modeling in competitive games · 6 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Restrict each payoff-matrix row and column to at most two onesSparse win-lose polymatrix games · (2, 2)-SWLP gamescomputational complexity of finding a 1/n4-well-supported Nash equilibriumHurt
Restrict the game to at most one one per row or per columnSparse win-lose polymatrix games · (1, n)-SWLP and (n, 1)-SWLP gamesexact Nash equilibrium computationHelped

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