This paper explores the medium-run behaviour of bounded rational players in repeatedly played games when they occasionally experiment or make mistakes. The formal analysis introduces a hierarchical structure of limit sets to characterize the most possible medium-run behaviour over gradually increased time intervals. The paper refines the notion of stochastic stability and offers a precise measure of the speed at which stochastically stable equilibria occur. Finally, the paper applies the results to a 3x3 symmetric game of Young (1993).Adaptive learning dynamics in games Escape dynamics Iterative cycle decomposition Stochastic stability
This paper considers a class of reinforcement-learning that belongs to the family of Learning Automa...
In this thesis we study the evolution of strategy choices for symmetric, finite, normal games. The s...
This paper considers a class of reinforcement-based learning (namely, perturbed learning automata) a...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
We investigate games whose Nash equilibria are mixed and are unstable under fictitious play-like lea...
This paper provides a genera1 framework to analyze rational learning in strategic situations where t...
Fudenberg and Kreps (1993) consider adaptive learning processes, in the spirit of ctitious play, for...
We study adaptive learning in a typical p-player game. The payoffs of the games are randomly generat...
We present a model of adaptive economic agents who are k periods forward looking. Agents in our mode...
Do boundedly rational players learn to choose equilibrium strategies as they play a game repeatedly?...
This paper has two purposes. The first is to describe the existing theory of long-run behavior of po...
International audienceWe consider a family of stochastic distributed dynamics to learn equilibria in...
Abstract We consider a family of stochastic distributed dynamics to learn equilibria in games, that ...
International audienceWe study repeated games where players use an exponential learning scheme in or...
International audienceStarting from a heuristic learning scheme for N-person games, we derive a new ...
This paper considers a class of reinforcement-learning that belongs to the family of Learning Automa...
In this thesis we study the evolution of strategy choices for symmetric, finite, normal games. The s...
This paper considers a class of reinforcement-based learning (namely, perturbed learning automata) a...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
We investigate games whose Nash equilibria are mixed and are unstable under fictitious play-like lea...
This paper provides a genera1 framework to analyze rational learning in strategic situations where t...
Fudenberg and Kreps (1993) consider adaptive learning processes, in the spirit of ctitious play, for...
We study adaptive learning in a typical p-player game. The payoffs of the games are randomly generat...
We present a model of adaptive economic agents who are k periods forward looking. Agents in our mode...
Do boundedly rational players learn to choose equilibrium strategies as they play a game repeatedly?...
This paper has two purposes. The first is to describe the existing theory of long-run behavior of po...
International audienceWe consider a family of stochastic distributed dynamics to learn equilibria in...
Abstract We consider a family of stochastic distributed dynamics to learn equilibria in games, that ...
International audienceWe study repeated games where players use an exponential learning scheme in or...
International audienceStarting from a heuristic learning scheme for N-person games, we derive a new ...
This paper considers a class of reinforcement-learning that belongs to the family of Learning Automa...
In this thesis we study the evolution of strategy choices for symmetric, finite, normal games. The s...
This paper considers a class of reinforcement-based learning (namely, perturbed learning automata) a...