We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Immersing players in believable and engaging virtual environments is a common goal for many interactive computer games. While PC-based audio only games set in virtual worlds have ...
This research explores interactive games using hand and face tracking with a robot as a tool for autism therapy. The robot is equipped with a head and two arms, each with two degre...
While Game Semantics has been remarkably successful at g, often in a fully abstract manner, a wide range of features of programming languages, there has to date been no attempt at...