This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...
As virtual worlds and games grow in both personal and cultural importance, present limitations in access to them is increasingly limiting their ability to achieve their potential....
We tackle the problem of non robustness of simulation and bisimulation when dealing with probabilistic processes. It is important to ignore tiny deviations in probabilities becaus...
In this paper, we present a dynamic area of interest management for Massively Multiplayer Online Games (MMOG). Instead of mapping the virtual space to the area of interest (AOI), ...