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

Reshaping Diverse Planning

AAAI 2020 · Learning theory and algorithms › Combinatorial and search optimization · approach: Classical and HTN planning · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use FI task-reformulation planner instead of itA*/MQAtsFI diverse planner · IPC satisficing, k=5coverage: 615 -> 1143Helped
FI vs best baseline at k=100FI diverse planner · IPC satisficing, k=100coverage: 78 -> 909Helped
FI vs best baseline at k=1000FI diverse planner · IPC satisficing, k=1000coverage: 7 -> 552Helped
FI vs best baseline on cost qualityFI diverse planner · IPC satisficing, k=5Qc: 539.13 -> 1095.66Helped
FI vs best baseline on stability diversityFI diverse planner · IPC satisficing, k=5Da: 322.17 -> 736.88Helped
bounded FI vs LPG-d for small kbFI · Dmma d=0.15, k=5solved tasks: 675 -> 1011Helped
bounded FI vs LPG-d for k=100bFI · Dmma d=0.15, k=100solved tasks: 532 -> 569Mixed
bounded FI vs LPG-d for large kbFI · Dmma d=0.15, k=1000solved tasks: 396 -> 152Hurt

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