We consider small-influence anonymous games with a large number of players n where every player has two actions. For this class of games we present a best-reply dynamic with the following two properties. First, the dynamic reaches Nash approximate equilibria fast (in at most cn log n steps for some constant c>0). Second, Nash approximate equilibria are played by the dynamic with a limit frequency of at least 1−e^(−c′n) for some constant c′>0
We study the computation of Nash equilibria of anonymous games, via algorithms that use adaptive que...
International audienceIn this paper we design and analyze distributed algorithms to compute a Nash e...
This dissertation studies multi-agent algorithms for learning Nash equilibrium strategies in games w...
We consider small-influence anonymous games with a large number of players n where every player has ...
International audienceIn this paper we design and analyze distributed best response dynamics to comp...
Game theory studies situations in which strategic players can modify the state of a given system, in...
Game theory studies situations in which strategic players can modify the state of a given system, in...
Game theory is widely used as a behavioral model for strategic interactions in biology and social sc...
We consider n-person games with quasi-concave payoffs that depend on a player's own action and the s...
In large systems, it is important for agents to learn to act ef-fectively, but sophisticated multi-a...
We prove that in every normal form n-player game with m actions for each player, there exists an app...
We study from an algorithmic viewpoint anonymous games [Mil96, Blo99, Blo05, Kal05]. In these games ...
International audienceIn this paper we compute the worst-case and average execution time of the Best...
We study how long it takes for large populations of interacting agents to come close to Nash equilib...
The paper develops a framework for the analysis of finite n-player games, recurrently played by rand...
We study the computation of Nash equilibria of anonymous games, via algorithms that use adaptive que...
International audienceIn this paper we design and analyze distributed algorithms to compute a Nash e...
This dissertation studies multi-agent algorithms for learning Nash equilibrium strategies in games w...
We consider small-influence anonymous games with a large number of players n where every player has ...
International audienceIn this paper we design and analyze distributed best response dynamics to comp...
Game theory studies situations in which strategic players can modify the state of a given system, in...
Game theory studies situations in which strategic players can modify the state of a given system, in...
Game theory is widely used as a behavioral model for strategic interactions in biology and social sc...
We consider n-person games with quasi-concave payoffs that depend on a player's own action and the s...
In large systems, it is important for agents to learn to act ef-fectively, but sophisticated multi-a...
We prove that in every normal form n-player game with m actions for each player, there exists an app...
We study from an algorithmic viewpoint anonymous games [Mil96, Blo99, Blo05, Kal05]. In these games ...
International audienceIn this paper we compute the worst-case and average execution time of the Best...
We study how long it takes for large populations of interacting agents to come close to Nash equilib...
The paper develops a framework for the analysis of finite n-player games, recurrently played by rand...
We study the computation of Nash equilibria of anonymous games, via algorithms that use adaptive que...
International audienceIn this paper we design and analyze distributed algorithms to compute a Nash e...
This dissertation studies multi-agent algorithms for learning Nash equilibrium strategies in games w...