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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 11 days 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
150
Voted
CDC
2010
IEEE
215views Control Systems» more  CDC 2010»
14 years 9 months ago
Consensus with robustness to outliers via distributed optimization
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
Jixin Li, Ehsan Elhamifar, I.-Jeng Wang, Ren&eacut...
GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 6 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
128
Voted
AAAI
2011
14 years 2 months ago
A Switching Planner for Combined Task and Observation Planning
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
Moritz Göbelbecker, Charles Gretton, Richard ...
163
Voted
TACAS
2012
Springer
277views Algorithms» more  TACAS 2012»
13 years 10 months ago
Proving Reachability Using FShell - (Competition Contribution)
FShell is an automated white-box test-input generator for C programs, computing test data with respect to user-specified code coverage criteria. The pillars of FShell are the decl...
Andreas Holzer, Daniel Kroening, Christian Schallh...