In the last few years, there has been increasing interest from the agent community in the use of techniques from decision theory and game theory. Our aims in this article are first...
on games are a recent genre of abstract board games with some interesting geometrical properties. We introduce a recursive metarule with which existing connection games can be exp...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
AI techniques are already widely used in game software to provide computer-controlled opponents for human players. However, game design is a more-challenging problem than game pla...
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...