This paper briefly describes a scalable architecture for implementing autonomous agents that act in a virtual world created for a computer game and must interact with it by suitabl...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
The paper discusses the motivation for, heritage, architecture and future development plans of the FuzzyCOPE software environment. FuzzyCOPE is a free software environment for tea...
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
— Our goal is to create roadmaps that are particularly suited for motion planning in virtual environments. We use our Reachability Roadmap Method to compute an initial, resolutio...