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Research map / Learning theory and algorithms / Combinatorial and search optimization

Operator Mutexes and Symmetries for Simplifying Planning Tasks

AAAI 2019 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add op-mutex plus symmetry operator removal on top of h2+de pruning (Pi2_op)h2+de preprocessing · IPC optimal benchmarksavg % operators removed: +4.39Helped
use op-mutex pruning alone vs h2+deoperator pruning · IPC optimal benchmarksavg % operators removed: 53.72 -> 13.73Hurt
add Pi2_op operator pruning before A* search (lmc, m&s, pot)Fast Downward · IPC optimal benchmarkscoverageNo clear effect
add Pi2_op pruningA* with LM-Cut · childsnackexpanded states per secondHelped
add pruningA* planners · IPC optimal benchmarksnumber of expanded statesNo clear effect
combine iadd with other op-mutex methods (ablation)Algorithm 1 · IPC optimal benchmarksoperators prunedHurt
use Pi2_op instead of fam for op-mutex inferenceop-mutex inference · IPC optimal benchmarksoperators pruned: -35 410 -> -35 515Helped
use 2-h2 instead of Pi2_opop-mutex inference · IPC optimal benchmarksop-mutex pairs foundHelped

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