Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game

Abstract

Game theory typically models strategic human behavior using scenarios with decision constraints that poorly represent real-world social interactions. Here, the authors show it is possible to model dynamic, real-world strategic interactions using Bayesian and reinforcement learning principles.