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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ANOR
2010
130views more  ANOR 2010»
15 years 1 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
CORR
2010
Springer
178views Education» more  CORR 2010»
15 years 1 months ago
Adaptive Algorithms for Coverage Control and Space Partitioning in Mobile Robotic Networks
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends ...
Jerome Le Ny, George J. Pappas
CVPR
2011
IEEE
15 years 24 days ago
Scenario-Based Video Event Recognition by Constraint Flow
We present a novel approach to representing and recognizing composite video events. A composite event is specified by a scenario, which is based on primitive events and their tem...
Suha Kwak, Bohyung Han, Joon Han
TCBB
2011
14 years 11 months ago
Information-Theoretic Model of Evolution over Protein Communication Channel
—In this paper, we propose a communication model of evolution and investigate its information-theoretic bounds. The process of evolution is modeled as the retransmission of infor...
Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld
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