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AIPS
2009
15 years 7 months ago
SAT-Based Parallel Planning Using a Split Representation of Actions
Planning based on propositional SAT(isfiability) is a powerful approach to computing step-optimal plans given a parallel execution semantics. In this setting: (i) a solution plan ...
Nathan Robinson, Charles Gretton, Duc Nghia Pham, ...
IJAR
2006
98views more  IJAR 2006»
15 years 6 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
DAM
2002
67views more  DAM 2002»
15 years 6 months ago
Optimal arrangement of data in a tree directory
We define the decision problem data arrangement, which involves arranging the vertices of a graph G at the leaves of a d-ary tree so that a weighted sum of the distances between p...
Malwina J. Luczak, Steven D. Noble
ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 6 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore
EVOW
2009
Springer
15 years 4 months ago
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
Agustín Orfila, Juan M. Estévez-Tapi...