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

Stackelberg Planning: Towards Effective Leader-Follower State Space Search

AAAI 2018 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 32 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add pruning (FSP, LSP, SSS) to leader-follower search (ablation)Leader-follower search · Pentest, Nomysterycoverage and runtimeHelped
add leader-search pruning versus stubborn sets only (ablation)Leader-follower search · larger instancesruntime and coverageHelped
remove SSS from the all-pruning configuration (ablation)Leader-follower search · optimal coverage, non-Pentest domainscoverageNo clear effect
switch follower planner from optimal to satisficing (greedy)Leader-follower search · Logistics and Visitallcoverage: low coverage -> about 90% at few leader actionsHelped
switch follower planner from optimal to satisficing (greedy)Leader-follower search · Nomysterycoverage: about 10 percentage pointsHelped
switch follower planner from optimal to satisficing (greedy)Leader-follower search · Pareto frontier quality (Visitall)area under frontier curve: about 10% larger on average; doubled in VisitallHurt

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