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SODA
2008
ACM
101views Algorithms» more  SODA 2008»
13 years 10 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
INFOCOM
2012
IEEE
11 years 11 months ago
Maximizing capacity with power control under physical interference model in duplex mode
—This paper addresses the joint selection and power assignment of a largest set of given links which can communicate successfully at the same time under the physical interference...
Peng-Jun Wan, Dechang Chen, Guojun Dai, Zhu Wang, ...
ACST
2006
13 years 10 months ago
Experimental study of hybrid-type distributed maximal constraint satisfaction algorithm
A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence. However, practical real-world problems t...
Masato Noto, Masahito Kurihara
ICML
1996
IEEE
14 years 1 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
ICALP
2011
Springer
13 years 13 days ago
Improved Approximation for the Directed Spanner Problem
We present an O( √ n log n)-approximation algorithm for the problem of finding the sparsest spanner of a given directed graph G on n vertices. A spanner of a graph is a sparse ...
Piotr Berman, Arnab Bhattacharyya, Konstantin Maka...