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ECAI
2010
Springer
13 years 10 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
AGP
2010
IEEE
14 years 2 months ago
Constraint Logic Programming
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it attracts the interest of theoreticians and practitioners, and it is currently use...
Marco Gavanelli, Francesca Rossi
SODA
2010
ACM
160views Algorithms» more  SODA 2010»
14 years 6 months ago
Solving Simple Stochastic Tail Games
Stochastic games are a natural model for open reactive processes: one player represents the controller and his opponent represents a hostile environment. The evolution of the syste...
Hugo Gimbert, Florian Horn
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 3 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
ATVA
2006
Springer
114views Hardware» more  ATVA 2006»
14 years 28 days ago
Selective Approaches for Solving Weak Games
Abstract. Model-checking alternating-time properties has recently attracted much interest in the verification of distributed protocols. While checking the validity of a specificati...
Malte Helmert, Robert Mattmüller, Sven Schewe