Intelligent agents often need to assess user utility functions in order to make decisions on their behalf, or predict their behavior. When uncertainty exists over the precise natu...
The first mass-produced pervasive computing devices are starting to appear—the AutoPC, the Internet-connected ScreenFridge, and the combination Microwave Oven/Home Banking term...
Andrew C. Huang, Benjamin C. Ling, Shankar Ponneka...
Motivation – This paper is based on a research project which examines the way car drivers and automated devices cooperate to achieve lateral control of a vehicle. A theoretical ...
Million of wireless device users are ever on the move, becoming more dependent on their PDAs, smart phones, and other handheld devices. With the advancement of pervasive computing...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...