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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
144
Voted
CORR
2011
Springer
192views Education» more  CORR 2011»
14 years 11 months ago
Improved Approximation Guarantees for Lower-Bounded Facility Location
d Abstract) Sara Ahmadian∗ Chaitanya Swamy∗ We consider the lower-bounded facility location (LBFL) problem (also sometimes called load-balanced facility location), which is a ...
Sara Ahmadian, Chaitanya Swamy
ICPR
2010
IEEE
15 years 11 months ago
Fast and Accurate Approximation of the Euclidean Opening Function in Arbitrary Dimension
In this paper, we present a fast and accurate approximation of the Euclidean opening function which is a wide-used tool in morphological mathematics to analyze binary shapes since...
David Coeurjolly
ATVA
2005
Springer
130views Hardware» more  ATVA 2005»
15 years 10 months ago
Approximate Reachability for Dead Code Elimination in Esterel
Esterel is an imperative synchronous programming language for the design of reactive systems. Esterel extends Esterel with a noninstantaneous jump instruction (compatible with conc...
Olivier Tardieu, Stephen A. Edwards
COCO
2005
Springer
131views Algorithms» more  COCO 2005»
15 years 10 months ago
On the Hardness of Approximating Multicut and Sparsest-Cut
We show that the Multicut, Sparsest-Cut, and Min-2CNF≡ Deletion problems are NP-hard to approximate within every constant factor, assuming the Unique Games Conjecture of Khot [S...
Shuchi Chawla, Robert Krauthgamer, Ravi Kumar, Yuv...