%0 Journal Article
%T On Adaptive Heuristics that Converge to Correlated Equilibrium
%A Ayan Bhattacharya
%J Games | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/g10010006
%X Abstract I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game and converge to the set of correlated equilibria. Despite their apparent differences, I show that these heuristics have an abstract representation as a sequence of probability distributions that satisfy a number of common properties. These properties arise due to the topological structure of the set of correlated equilibria. The characterizations that I obtain have useful applications in the study of the convergence of the heuristics. View Full-Tex
%K adaptive heuristics
%K correlated equilibrium
%K convergence
%K repeated games
%K algorithmic play
%U https://www.mdpi.com/2073-4336/10/1/6