Deordering and numeric macro actions for plan repair
The paper faces the problem of plan repair in presence of numeric information, by providing a new method for the intelligent selection of numeric macro actions. The method relies on a generalization of deordering, extended with new conditions accounting for dependencies and threats implied by the numeric components. The deordering is used as a means to infer (hopefully) minimal ordering constraints then used to extract independent and informative macro actions. Each macro aims at compactly...[Show more]
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|Source:||Exploiting Symmetries by Planning for a Descriptive Quotient|
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