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ICML
2006
IEEE
14 years 2 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
JSYML
2007
62views more  JSYML 2007»
13 years 8 months ago
A reduction of the NF consistency problem
We give a necessary and sufficient condition in order that a typeshifting automorphism be constructed on a model of the Theory of Simple Types (TST) by forcing. Namely it is prove...
Athanassios Tzouvaras
CASC
2007
Springer
112views Mathematics» more  CASC 2007»
14 years 29 days ago
An Efficient LLL Gram Using Buffered Transformations
In this paper we introduce an improved variant of the LLL algorithm. Using the Gram matrix to avoid expensive correction steps necessary in the Schnorr-Euchner algorithm and introd...
Werner Backes, Susanne Wetzel
ANTS
2006
Springer
100views Algorithms» more  ANTS 2006»
14 years 21 days ago
LLL on the Average
Despite their popularity, lattice reduction algorithms remain mysterious in many ways. It has been widely reported that they behave much more nicely than what was expected from the...
Phong Q. Nguyen, Damien Stehlé
TACAS
2010
Springer
181views Algorithms» more  TACAS 2010»
14 years 4 months ago
Boom: Taking Boolean Program Model Checking One Step Further
Abstract. We present Boom, a comprehensive analysis tool for Boolean programs. We focus in this paper on model-checking non-recursive concurrent programs. Boom implements a recent ...
Gérard Basler, Matthew Hague, Daniel Kroeni...