Abstract. In this paper we analyze the convergence of independent adaptive learners in repeated games. We show that, in this class of games, independent adaptive learners converge to pure Nash equilibria in self play, if they exist, and to a best response strategy against stationary opponents. We discuss the relation between our result and convergence results of adaptive play [1]. The importance of our result stems from the fact that, unlike adaptive play, no communication/action observability is assumed. We also relate this result to recent results on the convergence of weakened ficticious play processes for independent learners [2,3]. Finally we present experimental results illustrating the main ideas of the paper.
This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcem...
This paper explores the extent to which people learn in repeated games without feedback, and the ext...
International audienceThis paper examines the equilibrium convergence properties of no-regret learni...
Fudenberg and Kreps (1993) consider adaptive learning processes, in the spirit of ctitious play, for...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
In this paper, we provide a theoretical prediction of the way in which adaptive players behave in th...
In this paper, we address the problem of convergence to Nash equilibria in games with rewards that a...
This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcem...
Nash equilibrium can be interpreted as a steady state of a game where players hold correct beliefs a...
28 pagesConsider a 2-player normal-form game repeated over time. We introduce an adaptive learning p...
ADInternational audienceConsider a two-player normal-form game repeated over time. We introduce an a...
International audienceIn game-theoretic learning, several agents are simultaneously following their ...
We study how long it takes for large populations of interacting agents to come close to Nash equilib...
Abstract: This paper studies the analytical properties of the reinforcement learning model proposed ...
This paper extends the convergence result in Kalai and Lehrer (1993a, 1993b) to a class of games whe...
This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcem...
This paper explores the extent to which people learn in repeated games without feedback, and the ext...
International audienceThis paper examines the equilibrium convergence properties of no-regret learni...
Fudenberg and Kreps (1993) consider adaptive learning processes, in the spirit of ctitious play, for...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
In this paper, we provide a theoretical prediction of the way in which adaptive players behave in th...
In this paper, we address the problem of convergence to Nash equilibria in games with rewards that a...
This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcem...
Nash equilibrium can be interpreted as a steady state of a game where players hold correct beliefs a...
28 pagesConsider a 2-player normal-form game repeated over time. We introduce an adaptive learning p...
ADInternational audienceConsider a two-player normal-form game repeated over time. We introduce an a...
International audienceIn game-theoretic learning, several agents are simultaneously following their ...
We study how long it takes for large populations of interacting agents to come close to Nash equilib...
Abstract: This paper studies the analytical properties of the reinforcement learning model proposed ...
This paper extends the convergence result in Kalai and Lehrer (1993a, 1993b) to a class of games whe...
This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcem...
This paper explores the extent to which people learn in repeated games without feedback, and the ext...
International audienceThis paper examines the equilibrium convergence properties of no-regret learni...