This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Decision making is an important issue in robot soccer, which has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach...
Pablo Guerrero, Javier Ruiz-del-Solar, Gonzalo D&i...
While massively multiplayer on-line games (MMOs) are enormously popular, their use of the client-server architecture causes them to suffer from scalability issues and high mainte...
: Managing general game playing is the problem addressed in this paper. It is considered to be done on a game description written in a declarative language. The language, which is ...
While there is a broad theoretic foundation for creating computational players for two-player games, such as Chess, the multi-player domain is not as well explored. We make an att...