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» Smooth Optimization with Approximate Gradient
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113
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ICML
2010
IEEE
15 years 3 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
116
Voted
SIAMCO
2008
96views more  SIAMCO 2008»
15 years 2 months ago
Nonlinear Optimal Control via Occupation Measures and LMI-Relaxations
We consider the class of nonlinear optimal control problems (OCP) with polynomial data, i.e., the differential equation, state and control constraints and cost are all described by...
Jean B. Lasserre, Didier Henrion, Christophe Prieu...
132
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
129
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SIAMJO
2010
88views more  SIAMJO 2010»
14 years 9 months ago
A Primal-Dual Exterior Point Method for Nonlinear Optimization
In this paper, a primal dual method for general possible nonconvex nonlinear optimization problems is considered. The method is an exterior point type method which means that it p...
Hiroshi Yamashita, Takahito Tanabe
126
Voted
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
14 years 9 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas