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Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces

AAAI 2017 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 74 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use alternating-automata (AA) compilation instead of NFA compilationPRP with LTL-FOND compilation (finite traces) · FOND benchmarks with finite LTL goalsnumber of new fluentsHurt
Use AA compilation instead of NFA compilationPRP with LTL-FOND compilation (finite traces) · FOND benchmarks with finite LTL goalscompilation run timeHelped
Use AA compilation instead of NFA compilationPRP with LTL-FOND compilation (finite traces) · FOND benchmarks with finite LTL goalsPRP run timeHurt
Use AA compilation instead of NFA compilationPRP with LTL-FOND compilation (finite traces) · FOND benchmarks with finite LTL goalspolicy sizeHurt
Use AA compilation instead of NFA compilationPRP with LTL-FOND compilation (finite traces) · FOND benchmarks with finite LTL goalsworld plan length in shortest policy planNo clear effect
Add non-deterministic actions to deterministic problemsAA and NFA compilations · FOND benchmarks with finite LTL goalsplanner performanceNo clear effect
Use ABA compilation instead of PLG13seq or PLG13parPRP on Waldo problems · Waldo (infinite LTL goals)PRP run timeMixed
Use ABA compilation instead of PLG13seq or PLG13parPRP on Lift problems with many conjunctive goals · Lift (infinite LTL goals)scalabilityHelped
Use ABA compilation instead of PLG13seq or PLG13parPRP on Clerk problems · Clerk (infinite LTL goals)number of problems solved: 1 and 2 more problemsHurt
Use ABA compilation instead of PLG13parPRP policies · Waldo, Lift, Clerkpolicy size (world actions)Helped

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