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» Dynamic Algorithms for Recoverable Robustness Problems
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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 4 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
IDA
2009
Springer
13 years 4 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
GLOBECOM
2008
IEEE
14 years 1 months ago
Collusion-Resistant Multi-Winner Spectrum Auction for Cognitive Radio Networks
—In order to fully utilize spectrum, auction-based dynamic spectrum allocation has become a promising approach which allows unlicensed wireless users to lease unused bands from s...
Yongle Wu, Beibei Wang, K. J. Ray Liu, T. Charles ...
PERVASIVE
2007
Springer
14 years 25 days ago
Movement-Based Group Awareness with Wireless Sensor Networks
We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solu...
Raluca Marin-Perianu, Mihai Marin-Perianu, Paul J....
ATAL
2004
Springer
14 years 3 days ago
Scaling Teamwork to Very Large Teams
As a paradigm for coordinating cooperative agents in dynamic environments, teamwork has been shown to be capable of leading to flexible and robust behavior. However, when we appl...
Paul Scerri, Yang Xu, Elizabeth Liao, Justin Lai, ...