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174
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JMLR
2010
189views more  JMLR 2010»
14 years 11 months ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...
158
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard
ICASSP
2011
IEEE
14 years 8 months ago
Efficient range extrapolation of head-related impulse responses by wave field synthesis techniques
Head-related impulse responses (HRIRs), which are measured from an acoustic source to the left and right ear, characterize the acoustic properties of the outer ear. Due to the inv...
Sascha Spors, Jens Ahrens
153
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
JSAC
2006
112views more  JSAC 2006»
15 years 4 months ago
Network Kriging
ABSTRACT. Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide...
David B. Chua, Eric D. Kolaczyk, Mark Crovella