Sgroi, D.; Zizzo, D. J. - Faculty of Economics, University of Cambridge - 2002
This paper presents a neural network based methodology for examining the learning of game-playing rules in never-before seen games. A network is trained to pick Nash equilibria in a set of games and then released to play a larger set of new games. While faultlessly selecting Nash equilibria in...