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ICML
1994
IEEE
13 years 9 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
BSN
2009
IEEE
189views Sensor Networks» more  BSN 2009»
13 years 3 months ago
Neural Network Gait Classification for On-Body Inertial Sensors
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...
Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth...
USENIX
2008
13 years 8 months ago
Cutting Corners: Workbench Automation for Server Benchmarking
A common approach to benchmarking a server is to measure its behavior under load from a workload generator. Often a set of such experiments is required-perhaps with different serv...
Piyush Shivam, Varun Marupadi, Jeffrey S. Chase, T...
IPPS
2002
IEEE
13 years 11 months ago
Characterizing NAS Benchmark Performance on Shared Heterogeneous Networks
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Jaspal Subhlok, Shreenivasa Venkataramaiah, Amitoj...
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
13 years 11 months ago
Generalized benchmark generation for dynamic combinatorial problems
Several general purpose benchmark generators are now available in the literature. They are convenient tools in dynamic continuous optimization as they can produce test instances w...
Abdulnasser Younes, Paul H. Calamai, Otman A. Basi...