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» Adaptive Bound Optimization for Online Convex Optimization
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 3 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 11 months ago
Precision, local search and unimodal functions
We investigate the effects of precision on the efficiency of various local search algorithms on 1-D unimodal functions. We present a (1 + 1)-EA with adaptive step size which fin...
Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wege...
INFOCOM
2006
IEEE
14 years 4 months ago
Sleeping Coordination for Comprehensive Sensing Using Isotonic Regression and Domatic Partitions
— We address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while guaranteeing that values of sleeping nodes can be recov...
Farinaz Koushanfar, Nina Taft, Miodrag Potkonjak
MOBIHOC
2003
ACM
14 years 10 months ago
SHARP: a hybrid adaptive routing protocol for mobile ad hoc networks
A central challenge in ad hoc networks is the design of routing protocols that can adapt their behavior to frequent and rapid changes in the network. The performance of proactive ...
Venugopalan Ramasubramanian, Zygmunt J. Haas, Emin...
ICML
2007
IEEE
14 years 11 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...