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Summary of Participating Planners

$\text{Grounded-Lin}^{\text{Complex-Precs/Effs}}_{\text{Lookahead}}$

  • Configuration 1:
    • Linearizer with the complex inference approach
    • Engine: pandaPI with lookahead
      • Heuristic: rc2(add)
      • Search algorithm: GBFS
  • Configuration 2:
    • Linearizer with the complex inference approach
    • Engine: pandaPI with lookahead
      • Heuristic: rc2(ff)
      • Search algorithm: GBFS
  • Configuration 3:
    • Linearizer with the complex inference approach
    • Engine: pandaPI with lookahead
      • First-round search:
        • Heuristic: rc2(add)
        • Search algorithm: GBFS
      • Second-round search:
        • Heuristic: rc2(ff)
        • Search algorithm: weighted A* with $w=2$
      • Thrid-round search:
        • Heuristic: rc2(lmcut)
        • Search algorithm: A* (optimal search)

$\text{Grounded-Lin}^{\text{Simple-Precs/Effs}}_{\text{PANDA}}$

  • Configuration 1:
    • Linearizer with the simple inference approach
    • Engine: pandaPI without lookahead
      • Heuristic: rc2(add)
      • Search algorithm: GBFS
  • Configuration 2:
    • Linearizer with the simple inference approach
    • Engine: pandaPI without lookahead
      • Heuristic: rc2(ff)
      • Search algorithm: GBFS
  • Configuration 3:
    • Linearizer with the simple inference approach
    • Engine: pandaPI without lookahead
      • First-round search:
        • Heuristic: rc2(add)
        • Search algorithm: GBFS
      • Second-round search:
        • Heuristic: rc2(ff)
        • Search algorithm: weighted A* with $w=2$
      • Thrid-round search:
        • Heuristic: rc2(lmcut)
        • Search algorithm: A* (optimal search)

$\text{Lifted-Lin}^{\text{Simple-Precs/Effs}}$

  • Configuration 1:
    • Lifted linearizer
    • Search engine: Lilotane
  • Configuration 2:
    • Lifted linearizer
    • Search engine: pandaPI with SAT
  • Configuration 3:
    • Lifted linearizer
    • Search engine: pandaPI with SAT (optimal version)

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