Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Ubiquitous and Wearable Computing both have the goal of pushing the computer into the background, supporting all kinds of human activities. Application areas include areas such as...
Software components for distance and just-in-time (JIT) learning are an increasingly common method of encouraging reuse and facilitating the development process[58], but no analog...
Synchronous languages like Esterel have been widely adopted for designing reactive systems in safety-critical domains such as avionics. Specifications written in Esterel are based...
Lei Ju, Bach Khoa Huynh, Abhik Roychoudhury, Samar...
Computational social choice is a new discipline currently emerging at the interface of social choice theory and computer science. It is concerned with the application of computati...