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Classical Planning on IPC Benchmarks

621Instances SolvedGUCT-Normal2
163.4282.2401519.8May 16, 2023
Updated 7mo ago

Evaluation results

MethodLinks
GUCT-Normal2Heuristic (h)=h^{FF}+PO2023.05621
GUCT-Normal2Heuristic (h)=h^{FF}2023.05581.8
GUCT-Normal2Heuristic (h)=h^{FF}+DE+PO2023.05578
Softmin-Type(h)Heuristic (h)=h^{FF}, Search Implementation=FastDownward2023.05576
GUCT*-Normal2Heuristic (h)=h^{FF}2023.05567.2
GUCT*Heuristic (h)=h^{FF}, Hyperparameter (c)=0.52023.05542
GBFSHeuristic (h)=h^{FF}+PO, Search Implementation=Pyperplan/FastDownward2023.05539
GBFSHeuristic (h)=h^{FF}, Search Implementation=Pyperplan/FastDownward2023.05538
GUCT-Normal2Heuristic (h)=h^{add}2023.05535.8
WA*Heuristic (h)=h^{FF}, Search Implementation=FastDownward, w=52023.05528
GUCT-Normal2Heuristic (h)=h^{FF}+DE2023.05518
GUCT*Heuristic (h)=h^{FF}, Hyperparameter (c)=12023.05458.6
GUCTHeuristic (h)=h^{FF}, Hyperparameter (c)=0.52023.05442.8
GUCT*-01Heuristic (h)=h^{FF}, Hyperparameter (c)=0.52023.05425.6
GUCTHeuristic (h)=h^{FF}, Hyperparameter (c)=12023.05412
GUCT-01Heuristic (h)=h^{FF}, Hyperparameter (c)=0.52023.05399.8
GUCT*-01Heuristic (h)=h^{FF}, Hyperparameter (c)=12023.05388
GUCT-Normal2Heuristic (h)=h^{GC}2023.05379
GUCT-01Heuristic (h)=h^{FF}, Hyperparameter (c)=12023.05368
GUCT-VHeuristic (h)=h^{FF}, Hyperparameter (c)=0.52023.05361.2
GUCT*-NormalHeuristic (h)=h^{FF}2023.05318.8
GUCT-VHeuristic (h)=h^{FF}, Hyperparameter (c)=12023.05317.4
GUCT-Normal2Heuristic (h)=h^{max}2023.05316.6
GUCT-NormalHeuristic (h)=h^{FF}2023.05283.4
TTTS-NormalHeuristic (h)=h^{FF}2023.05181