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ICMLA
2010
13 years 5 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
EOR
2006
130views more  EOR 2006»
13 years 7 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
ISVC
2010
Springer
13 years 5 months ago
Efficient Marker Matching Using Pair-Wise Constraints in Physical Therapy
In this paper, we report a robust, efficient, and automatic method for matching infrared tracked markers for human motion analysis in computer-aided physical therapy applications. ...
Gregory Johnson, Nianhua Xie, Jill Slaboda, Y. Jus...
TCOM
2008
67views more  TCOM 2008»
13 years 7 months ago
Robust Frequency Hopping for Interference and Fading Channels
Abstract--A robust frequency-hopping system with noncoherent detection, iterative turbo decoding and demodulation, and channel estimation is presented. The data modulation is the s...
Don J. Torrieri, Shi Cheng, Matthew C. Valenti
IPPS
2010
IEEE
13 years 5 months ago
Robust control-theoretic thermal balancing for server clusters
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Yong Fu, Chenyang Lu, Hongan Wang