Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
We propose a new algorithm for the real-time control of an interframe video coder operating with a variable rate channel such as wireless channels or the Internet. Using technique...
The principal deficiency of image-based visual servoing is that the induced (3D) trajectories are not optimal and sometimes, especially when the displacement to realize is large,...
Youcef Mezouar, Anthony Remazeilles, Patrick Gros,...
In today’s data centers, precisely controlling server power consumption is an essential way to avoid system failures caused by power capacity overload or overheating due to incr...
Xiaorui Wang, Ming Chen, Charles Lefurgy, Tom W. K...