Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, X...
We consider a multicast game with selfish non-cooperative players. There is a special source node and each player is interested in connecting to the source by making a routing de...
Chandra Chekuri, Julia Chuzhoy, Liane Lewin-Eytan,...
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...