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AAAI
2012
13 years 6 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
FMCAD
2004
Springer
15 years 9 months ago
Simple Bounded LTL Model Checking
We present a new and very simple translation of the bounded model checking problem which is linear both in the size of the formula and the length of the bound. The resulting CNF-fo...
Timo Latvala, Armin Biere, Keijo Heljanko, Tommi A...
CP
2004
Springer
15 years 7 months ago
A Hyper-arc Consistency Algorithm for the Soft Alldifferent Constraint
This paper presents an algorithm that achieves hyper-arc consistency for the soft alldifferent constraint. To this end, we prove and exploit the equivalence with a minimum-cost flo...
Willem Jan van Hoeve
SPLC
2008
15 years 5 months ago
Automated Analysis of Feature Models Using Atomic Sets
Scalability is recognized as a key challenge in the automated analysis of Feature Models (FMs). Current solutions in this context mainly propose using different logic paradigms as...
Sergio Segura
CORR
2002
Springer
95views Education» more  CORR 2002»
15 years 3 months ago
On the survey-propagation equations for the random K-satisfiability problem
In this note we study the existence of a solution to the survey-propagation equations for the random K-satisfiability problem for a given instance. We conjecture that when the num...
Giorgio Parisi