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On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

AAAI 2024 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 2 citations (OpenAlex)

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Studies the computational complexity of plan verification, bounded plan existence, and (bounded) plan optimality verification for grounded and lifted classical and HTN planning, filling gaps for lifted HTN planning.

Problem

Complexity of plan verification, bounded plan existence, and plan optimality verification in classical and HTN planning, especially lifted HTN planning, which had not been studied.

Approach

Derives complexity bounds via reductions and a general two-step guess-and-verify argument (Formula 1) that relates bounded plan existence to plan verification; shows plan optimality verification is the complement of bounded plan existence with the bound in unary, and that grounded HTN plan verification is NP-complete even with a primitive initial task network.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Represent HTN planning in lifted rather than grounded formHTN plan verification · Plan verificationcomputational complexityMixed
Represent classical planning in lifted rather than grounded formClassical k-length plan existence with k in binary · k-length plan existence, k in binarycomputational complexityHurt
Represent HTN planning in lifted rather than grounded formHTN k-length plan existence · k-length plan existence, k in binarycomputational complexityHurt
Encode the bound k in unary rather than binaryClassical planning, grounded · k-length plan existencecomputational complexityHelped
Encode the bound k in unary rather than binaryClassical planning, lifted · k-length plan existencecomputational complexityHelped
Encode the bound k in unary rather than binaryHTN planning, grounded · k-length plan existencecomputational complexityHelped
Encode the bound k in unary rather than binaryHTN planning, lifted · k-length plan existencecomputational complexityMixed
Represent HTN planning in lifted rather than grounded formHTN plan optimality verification · Plan optimality verificationcomputational complexityHurt

Surprising findings

Limitations

Experimental setup

Builds on: Bäckström and Jonsson 2011 unary bound complexity Behnke, Höller, and Biundo 2015 HTN plan verification Bylander 1994 plan existence complexity Erol, Hendler, and Nau 1996 HTN simulation of classical planning

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