We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Many incoming college freshmen have accumulated a significant number of hours of experience playing computer games. Extending that experience to actual game creation activities ca...
How can we help people design well-formed and innovative games? The design Patterns of Christopher Alexander is one methodology that has been proposed to assist in the design of w...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...