Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
— We construct a family of iterative discretization algorithms for computing sequences of finitely-supported correlated equilibria of n-player games with polynomial utility func...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
We propose a new way of architecting the wireless multimedia communications systems by jointly optimizing the protocol stack at each station and the resource exchanges among stati...
Fangwen Fu, Ahmad Reza Fattahi, Mihaela van der Sc...
— We formulate a coverage optimization problem for mobile visual sensor networks as a repeated multi-player game. Each visual sensor tries to optimize its own coverage while mini...