Playing large games using simple strategies
Proceedings of the 4th ACM conference on Electronic commerce
Nash Equilibria in Random Games
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
A note on approximate nash equilibria
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
Progress in approximate nash equilibria
Proceedings of the 8th ACM conference on Electronic commerce
The complexity of game dynamics: BGP oscillations, sink equilibria, and beyond
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Approximate Equilibria for Strategic Two Person Games
SAGT '08 Proceedings of the 1st International Symposium on Algorithmic Game Theory
How hard is it to approximate the best Nash equilibrium?
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
An Efficient PTAS for Two-Strategy Anonymous Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Performance Evaluation of a Descent Algorithm for Bi-matrix Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Settling the complexity of computing two-player Nash equilibria
Journal of the ACM (JACM)
A note on approximate Nash equilibria
Theoretical Computer Science
New algorithms for approximate Nash equilibria in bimatrix games
Theoretical Computer Science
New algorithms for approximate Nash equilibria in bimatrix games
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
An optimization approach for approximate Nash equilibria
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
Computing exact and approximate Nash equilibria in 2-player games
AAIM'10 Proceedings of the 6th international conference on Algorithmic aspects in information and management
Computational game theory: an introduction
Algorithms and theory of computation handbook
Exploiting concavity in bimatrix games: new polynomially tractable subclasses
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Approximability of symmetric bimatrix games and related experiments
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
Convergence method, properties and computational complexity for Lyapunov games
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
How Hard Is It to Approximate the Best Nash Equilibrium?
SIAM Journal on Computing
Making economic theory operational
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
On the complexity of approximating a Nash equilibrium
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
On mutual concavity and strategically-zero-sum bimatrix games
Theoretical Computer Science
Recent development in computational complexity characterization of Nash equilibrium
Computer Science Review
Well supported approximate equilibria in bimatrix games: a graph theoretic approach
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
Probabilistic techniques in algorithmic game theory
SAGA'07 Proceedings of the 4th international conference on Stochastic Algorithms: foundations and applications
Efficient algorithms for constant well supported approximate equilibria in bimatrix games
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
On the Complexity of Approximating a Nash Equilibrium
ACM Transactions on Algorithms (TALG) - Special Issue on SODA'11
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We focus on the problem of computing an ε-Nash equilibrium of a bimatrix game, when ε is an absolute constant. We present a simple algorithm for computing a $\frac{3}{4}$-Nash equilibrium for any bimatrix game in strongly polynomial time and we next show how to extend this algorithm so as to obtain a (potentially stronger) parameterized approximation. Namely, we present an algorithm that computes a $\frac{2+\lambda}{4}$-Nash equilibrium, where λ is the minimum, among all Nash equilibria, expected payoff of either player. The suggested algorithm runs in time polynomial in the number of strategies available to the players.