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IJCAI
2003
15 years 8 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
ICUIMC
2011
ACM
14 years 10 months ago
A cross-layer design for resource allocation and congestion control in multichannel multi-hop cognitive radio networks
Efficient and fair resource allocation associated with congestion control in multi-hop cognitive radio networks (CRN) is a challenging problem. In this paper, we consider their mu...
Nguyen Van Mui, Choong Seon Hong
CVPR
2000
IEEE
16 years 8 months ago
Improved Motion Stereo Matching Based on a Modified Dynamic Programming
A new method for computing precise depth map estimates of 3D shape of a moving object is proposed. 3D shape recovery in motion stereo is formulated as a matching optimization prob...
Mikhail Mozerov, Vitaly Kober, Tae-Sun Choi
CORR
2008
Springer
119views Education» more  CORR 2008»
15 years 6 months ago
Self-stabilizing Numerical Iterative Computation
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
Ezra N. Hoch, Danny Bickson, Danny Dolev
DAC
2004
ACM
16 years 7 months ago
Statistical optimization of leakage power considering process variations using dual-Vth and sizing
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...
Ashish Srivastava, Dennis Sylvester, David Blaauw