In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
We study a natural extension of classical evolutionary game theory to a setting in which pairwise interactions are restricted to the edges of an undirected graph or network. We ge...
In this paper we propose a formal specification of a persuasion protocol between autonomous agents using an approach based on social commitments and arguments. In order to be flexi...
Jamal Bentahar, Bernard Moulin, John-Jules Ch. Mey...
We exhibit the rich structure of the set of correlated equilibria by analyzing the simplest of polynomial games: the mixed extension of matching pennies. We show that while the co...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...
In wireless multicast systems, cooperative multicast has been shown to be effective in dealing with heterogeneous channel conditions and improving the system performance. However,...