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AIPS
2004
15 years 7 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
DAGSTUHL
1997
15 years 7 months ago
Interpolation and Approximation of Surfaces from Three-dimensional Scattered Data Points
There is a wide range of applications for which surface interpolation or approximation from scattered data points in space is important. Dependent on the field of application and...
Robert Mencl, Heinrich Müller
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 7 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue
SODA
2010
ACM
164views Algorithms» more  SODA 2010»
16 years 3 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SIAMCO
2010
103views more  SIAMCO 2010»
15 years 1 months ago
On Some Systems Controlled by the Structure of Their Memory
We consider an optimal control problem governed by an ODE with memory playing the role of a control. We show the existence of an optimal solution and derive some necessary optimal...
G. Buttazzo, G. Carlier, R. Tahraoui