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» Approximation Algorithms for Min-Max Generalization Problems
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ATAL
2007
Springer
15 years 10 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
APPROX
2006
Springer
162views Algorithms» more  APPROX 2006»
15 years 8 months ago
Approximating Precedence-Constrained Single Machine Scheduling by Coloring
Abstract. This paper investigates the relationship between the dimension theory of partial orders and the problem of scheduling precedenceconstrained jobs on a single machine to mi...
Christoph Ambühl, Monaldo Mastrolilli, Ola Sv...
ISAAC
2005
Springer
100views Algorithms» more  ISAAC 2005»
15 years 10 months ago
Separability with Outliers
We develop exact and approximate algorithms for computing optimal separators and measuring the extent to which two point sets in d-dimensional space are separated, with respect to...
Sariel Har-Peled, Vladlen Koltun
FOGA
2011
14 years 8 months ago
The logarithmic hypervolume indicator
It was recently proven that sets of points maximizing the hypervolume indicator do not give a good multiplicative approximation of the Pareto front. We introduce a new “logarith...
Tobias Friedrich, Karl Bringmann, Thomas Voß...
ICALP
2009
Springer
16 years 4 months ago
Node-Weighted Steiner Tree and Group Steiner Tree in Planar Graphs
We improve the approximation ratios for two optimization problems in planar graphs. For node-weighted Steiner tree, a classical network-optimization problem, the best achievable ap...
Erik D. Demaine, MohammadTaghi Hajiaghayi, Philip ...