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ICML
2007
IEEE
16 years 7 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
WADS
2007
Springer
104views Algorithms» more  WADS 2007»
16 years 17 days ago
Faster Approximation of Distances in Graphs
Let G = (V, E) be an weighted undirected graph on n vertices and m edges, and let dG be its shortest path metric. We present two simple deterministic algorithms for approximating ...
Piotr Berman, Shiva Prasad Kasiviswanathan
TALG
2010
86views more  TALG 2010»
15 years 4 months ago
Approximating corridors and tours via restriction and relaxation techniques
Given a rectangular boundary partitioned into rectangles, the Minimum-Length Corridor (MLC-R) problem consists of finding a corridor of least total length. A corridor is a set of ...
Arturo Gonzalez-Gutierrez, Teofilo F. Gonzalez
PODS
2006
ACM
134views Database» more  PODS 2006»
16 years 6 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
16 years 18 days ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang