The article by Shoham, Powers, and Grenager called “If multi-agent learning is the answer, what is the question?” does a great job of laying out the c...

As suggested by the title of Shoham, Powers, and Grenager’s position paper [Y. Shoham, R. Powers, T. Grenager, If multi-agent learning is the answer,...

Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The c...

This paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to Nash equilibrium, and forms tha...

A great deal of theoretical effort in multiagent learning involves either embracing or avoiding the inherent symmetry between the problem and the solu...