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AAAI
2000
13 years 9 months ago
Defining and Using Ideal Teammate and Opponent Agent Models
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
Peter Stone, Patrick Riley, Manuela M. Veloso
CGO
2007
IEEE
14 years 2 months ago
Loop Optimization using Hierarchical Compilation and Kernel Decomposition
The increasing complexity of hardware features for recent processors makes high performance code generation very challenging. In particular, several optimization targets have to b...
Denis Barthou, Sébastien Donadio, Patrick C...
ROBIO
2006
IEEE
110views Robotics» more  ROBIO 2006»
14 years 2 months ago
Visualization and Estimation of Contact Stimuli using Living Microorganisms
— In this paper, we propose a novel microsensing scheme in which intrinsic sensing capability in microorganisms is utilized. Extraction of signals inside the cell and decoding of...
Anchelee Davies, Naoko Ogawa, Hiromasa Oku, Koichi...
ATAL
2004
Springer
14 years 1 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
CCGRID
2002
IEEE
14 years 1 months ago
Using TOP-C and AMPIC to Port Large Parallel Applications to the Computational Grid
Porting large applications to distributed computing platforms is a challenging task from a software engineering perspective. The Computational Grid has gained tremendous popularit...
Gene Cooperman, Henri Casanova, Jim Hayes, Thomas ...