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COLT
2000
Springer
15 years 1 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
65
Voted
CDC
2009
IEEE
106views Control Systems» more  CDC 2009»
15 years 2 months ago
Gradient methods for iterative distributed control synthesis
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
Karl Martensson, Anders Rantzer
CEC
2008
IEEE
15 years 4 months ago
Memetic Gradient Search
—This paper reviews the different gradient-based schemes and the sources of gradient, their availability, precision and computational complexity, and explores the benefits of usi...
Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong ...
MOC
2000
109views more  MOC 2000»
14 years 9 months ago
A mixed formulation of Boussinesq equations: Analysis of nonsingular solutions
Abstract. This paper is concerned with the mixed formulation of the Boussinesq equations in two-dimensional domains and its numerical approximation. The paper deals first with exis...
M. Farhloul, S. Nicaise, L. Paquet
96
Voted
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 4 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...