—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
H.264 is currently the best way to compress media to achieve high quality at low bandwidth. Since its inception, technologies such as video-on-demand are increasingly realizable. ...
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
We study the “inter-distance constraint”, also known as the global minimum distance constraint, that ensures that the distance between any pair of variables is at least equal ...
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...