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Tiebreaking Strategies for A* Search: How to Explore the Final Frontier

AAAI 2016 · Learning theory and algorithms › Combinatorial and search optimization · approach: Heuristic and local search algorithms · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use lifo instead of fifo second-level tiebreaking after hA* with LMcut · IPC 1104 instancescoverage: 558 -> 565Helped
drop h-based tiebreaking, use lifo only (ablation)A* with LMcut · IPC 1104 instancescoverage: 565 -> 556No clear effect
use fifo only (no h, no lifo) (ablation)A* with LMcut · IPC 1104 instancescoverage: 556 -> 442Hurt
replace [h, fifo] with depth-based random strategy [h, rd, ro]A* with LMcut · Zerocost 620 instancescoverage: 256 -> 294.2Helped
replace [h, lifo] with [h, rd, ro]A* with LMcut · IPC 1104 instancescoverage: 565 -> 572.8Helped
random depth instead of first depth (ablation)[h, ?d, ro] · LMcut Zerocostcoverage: 257.4 -> 294.2Helped
random depth instead of last depth (ablation)[h, ?d, ro] · LMcut Zerocostcoverage: 286.6 -> 294.2Helped
add depth buckets to random tiebreaking (ablation)[h, ro] · LMcut Zerocostcoverage: 264.9 -> 294.2Helped
add h-based first-level tiebreaking to [rd, ro] (ablation)[rd, ro] · LMcut Zerocostcoverage: 279.9 -> 294.2Helped
epsilon-cost transformation instead of [h, rd, ro] (ablation)A* with LMcut · LMcut Zerocostcoverage: 294.2 -> 261Hurt
mangle action names in domain files (ablation)[h, rd, ro] · Zerocost 620 instancescoverage: 287.2 -> 288.7No clear effect

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