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» Approximation Algorithms for Min-Max Generalization Problems
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STOC
2006
ACM
132views Algorithms» more  STOC 2006»
14 years 9 months ago
Near-optimal algorithms for unique games
Unique games are constraint satisfaction problems that can be viewed as a generalization of Max-Cut to a larger domain size. The Unique Games Conjecture states that it is hard to ...
Moses Charikar, Konstantin Makarychev, Yury Makary...
ATAL
2009
Springer
14 years 3 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh
ACTA
2008
136views more  ACTA 2008»
13 years 9 months ago
Two-dimensional packing with conflicts
We study the two-dimensional version of the bin packing problem with conflicts. We are given a set of (two-dimensional) squares V = {1, 2, . . . , n} with sides s1, s2 . . . , sn ...
Leah Epstein, Asaf Levin, Rob van Stee
MOBIHOC
2008
ACM
14 years 8 months ago
Self-monitoring for sensor networks
Local monitoring is an effective mechanism for the security of wireless sensor networks (WSNs). Existing schemes assume the existence of sufficient number of active nodes to carry...
Dezun Dong, Yunhao Liu, Xiangke Liao
TSP
2008
129views more  TSP 2008»
13 years 7 months ago
A Basic Convergence Result for Particle Filtering
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle filter methods has become perhaps the most common a...
Xiao-Li Hu, Thomas B. Schön, Lennart Ljung