In this paper we show that the problem of approximating a Nash equilibrium in a polymatrix game within the polyno- mial precision is PPAD-hard, even in sparse ...
We show that the problem of finding an approximate Nash equilibrium with a polynomial precision is PPAD-hard even for two-player sparse win-lose games (i.e. ...
May 18, 2021 · In this paper we show that the problem of approximating a Nash equilibrium in a polymatrix game within the polynomial precision is PPAD-hard, even in sparse ...
Feb 2, 2018 · We show that the problem of finding an approximate Nash equilibrium with a polynomial precision is PPAD-hard even for two-player sparse ...
Oct 22, 2024 · In this paper we show that the problem of approximating a Nash equilibrium in a polymatrix game within the polynomial precision is PPAD-hard, ...
The utility of each player is a sum of payoffs it gains from the two player's game from all its neighbors, under its chosen strategy and that of its neighbor.
Abstract: We show that the problem of finding an approximate Nash equilibrium with a polynomial precision is PPAD-hard even for two-player sparse win-lose games ...
On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games ... Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games.
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We show that the problem of finding an approximate Nash equilibrium with a polynomial precision is PPAD-hard even for two-player sparse win-lose games (i.e. ...
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A linear time algorithm is described which computes a Nash equilibrium for win-lose bimatrix games where the number of winning positions per strategy of ...