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» Learning Recursive Control Programs from Problem Solving
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JMLR
2012
11 years 9 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 2 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
CDC
2009
IEEE
121views Control Systems» more  CDC 2009»
14 years 4 days ago
Piecewise-linear constrained control for timed continuous Petri nets
— Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event syst...
Carlos Renato Vázquez, Manuel Silva
ICMLA
2010
13 years 5 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
INFOCOM
2002
IEEE
14 years 10 days ago
Optimal Energy Allocation and Admission Control for Communications Satellites
—We address the issue of optimal energy allocation and admission control for communications satellites in earth orbit. Such satellites receive requests for transmission as they o...
Alvin Fu, Eytan Modiano, John N. Tsitsiklis