A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
This research explores ways of harnessing people’s passion for entertainment in order to stimulate players to attain the meta-learning skills they need for lifelong learning and...
In contrast to traditional teaching-and-learning environments whereby the teacher controls the learning (e.g., teacher-centered), video games present a learner-centered approach t...
Andrew Milner, Andrew Hogue, Bill Kapralos, John F...
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...