A Reinforcement Learning Approach to Interval Constraint Propagation

Abstract

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 the reduction of the search space. Attempts to statically select a subset of efficient contracting operators fail to offer reliable performance speed-ups. By embedding the recency… (More)
DOI: 10.1007/s10601-007-9027-7

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Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

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