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CP
2001
Springer
15 years 8 months ago
Partially Ordered Constraint Optimization Problems
The Constraint Problems usually addressed fall into one of two models: the Constraint Satisfaction Problem (CSP) and the Constraint Optimization Problem (COP). However, in many rea...
Marco Gavanelli
ICDCS
2000
IEEE
15 years 8 months ago
The Effect of Nogood Learning in Distributed Constraint Satisfaction
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
Makoto Yokoo, Katsutoshi Hirayama
AAAI
2008
15 years 6 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...
CONSTRAINTS
2008
89views more  CONSTRAINTS 2008»
15 years 4 months ago
A Reinforcement Learning Approach to Interval Constraint Propagation
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
Frédéric Goualard, Christophe Jerman...
CORR
2008
Springer
111views Education» more  CORR 2008»
15 years 2 months ago
Concave Programming Upper Bounds on the Capacity of 2-D Constraints
The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distribut...
Ido Tal, Ron M. Roth