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» Optimization Flow Control with Estimation Error
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GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
15 years 8 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
DAC
2003
ACM
16 years 3 months ago
Data communication estimation and reduction for reconfigurable systems
Widespread adoption of reconfigurable devices requires system level synthesis techniques to take an application written in a high level language and map it to the reconfigurable d...
Adam Kaplan, Philip Brisk, Ryan Kastner
93
Voted
CDC
2009
IEEE
103views Control Systems» more  CDC 2009»
15 years 7 months ago
Networked state estimation over a Gilbert-Elliot type channel
Abstract— We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar contin...
Peter Almstrom, Maben Rabi, Mikael Johansson
91
Voted
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 8 months ago
Estimation of non-stationary Markov Chain transition models
— Many decision systems rely on a precisely known Markov Chain model to guarantee optimal performance, and this paper considers the online estimation of unknown, nonstationary Ma...
Luca F. Bertuccelli, Jonathan P. How
NIPS
2001
15 years 3 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...