Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
— The paper describes an indoor helicopter testbed that allows implementing and testing of bio-inspired control algorithms developed from scientific studies on insects. The heli...
Shuo Han, Andrew D. Straw, Michael H. Dickinson, R...
This paper describes the design and implementation of a virtual agent that is capable of providing customers in a 3D online shop with advice. Based on a product knowledge base, a c...
This paper provides a brief overview of an implicit training method used for teaching autonomous agents to represent humans in 3D Virtual Worlds without any explicit training effo...
Anton Bogdanovych, Marc Esteva, Simeon J. Simoff, ...
In this paper, we study the calibration of head pose estimation in stereo camera setting for meeting room video event analysis. Head pose information infers the direction of atten...
Jilin Tu, Thomas S. Huang, Yingen Xiong, R. Travis...