This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...
We propose the use of a haptic touchscreen to convey graphical and mathematical concepts through aural and/or vibratory tactile feedback. We hypothesize that an important applicat...
Jenna L. Toennies, Jessica Burgner, Thomas J. With...
Abstract—Application-level protocols used for object delivery, such as HTTP, are built atop TCP/IP and inherit its hostabstraction. Given that these services are replicated for s...
A formal synthesis method for complex real-time embedded software is proposed in this work. Compared to previous work, our method not only synthesizes embedded software with compl...