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ECML
2004
Springer
15 years 12 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
APPROX
2010
Springer
297views Algorithms» more  APPROX 2010»
15 years 8 months ago
Approximating Linear Threshold Predicates
We study constraint satisfaction problems on the domain {-1, 1}, where the given constraints are homogeneous linear threshold predicates. That is, predicates of the form sgn(w1x1 +...
Mahdi Cheraghchi, Johan Håstad, Marcus Isaks...
STOC
2004
ACM
134views Algorithms» more  STOC 2004»
16 years 6 months ago
Approximate max-integral-flow/min-multicut theorems
We establish several approximate max-integral-flow / minmulticut theorems. While in general this ratio can be very large, we prove strong approximation ratios in the case where th...
Kenji Obata
SODA
2007
ACM
131views Algorithms» more  SODA 2007»
15 years 8 months ago
On the K-simple shortest paths problem in weighted directed graphs
We obtain the first approximation algorithm for finding the k-simple shortest paths connecting a pair of vertices in a weighted directed graph. Our algorithm is deterministic an...
Liam Roditty
CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 6 months ago
Multiresolution Approximation of Polygonal Curves in Linear Complexity
: We propose a new algorithm to the problem of polygonal curve approximation based on a multiresolution approach. This algorithm is suboptimal but still maintains some optimality b...
Pierre-Francois Marteau, Gildas Ménier