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» Optimal Control in Large Stochastic Multi-agent Systems
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ICML
1996
IEEE
14 years 9 months ago
Learning Evaluation Functions for Large Acyclic Domains
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...
Justin A. Boyan, Andrew W. Moore
BMCBI
2006
179views more  BMCBI 2006»
13 years 9 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
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...
ICIP
2003
IEEE
14 years 2 months ago
Stochastic rate-control of interframe video coders for VBR channels
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...
Julián Cabrera, José Ignacio Ronda, ...
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 1 months ago
Images Interpolation for Image-Based Control under Large Displacement
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,...
IEEEPACT
2009
IEEE
14 years 3 months ago
SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers
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...