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

Endomorphisms of Classical Planning Tasks

AAAI 2021 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add FDR and LTS endomorphism pruning after h2LM-Cut planner · IPC 1998–2018, 65 domainssolved tasks: 885 -> 896Helped
Add FDR and LTS endomorphism pruning after h2Potential heuristic planner · IPC 1998–2018, 65 domainssolved tasks: 1 025 -> 1 032Helped
Add FDR and LTS endomorphism pruning after h2Merge-and-shrink planner · IPC 1998–2018, 65 domainssolved tasks: 935 -> 951Helped
Add FDR and LTS endomorphism pruning after h2SymbA* · IPC 1998–2018, 65 domainssolved tasks: 1 002 -> 1 011Helped
Add FDR and LTS endomorphism pruning after h2Scorpion planner · IPC 1998–2018, 65 domainssolved tasks: 1 113 -> 1 120Helped
Use factored-LTS rather than FDR endomorphisms (ablation)Endomorphism pruning · IPC domains, without h2average percentage of operators removed: 3.13 -> 10.34Helped
Add endomorphism pruning after h2 (ablation)FDR endomorphism pruning · IPC domainsaverage percentage of operators removed on top of h2: 2.69Helped
Add endomorphism pruning after h2 (ablation)Factored-LTS endomorphism pruning · IPC domainsaverage percentage of operators removed on top of h2: 7.94Helped
Combine h2 pruning with endomorphism pruning (ablation)Classical planning tasks · IPC benchmarksoperators prunedMixed

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