We study games in which the choices available to players are not fixed, and may change during the course of play. Specifically, we consider a model in which players may switch st...
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...