The FF Heuristic for Lifted Classical Planning
Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès
摘要
Heuristics for lifted planning are not yet as informed as the best heuristics for ground planning. Recent work introduced the idea of using Datalog programs to compute the additive heuristic over lifted tasks. Based on this work, we show how to compute the more informed FF heuristic in a lifted manner. We extend the Datalog program with executable annotations that can also be used to define other delete-relaxation heuristics. In our experiments, we show that a planner using the lifted FF implementation produces state-of-the-art results for lifted planners. It also reduces the gap to state-of-the-art ground planners in domains where grounding is feasible.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Optimizing the Optimization of Planning Domains by Automatic Action Schema SplittingMojtaba Elahi, Jussi RintanenAAAI 2024 · 被引用 3 次
- Learning Heuristic Functions for HTN PlanningDaniel HöllerAAAI 2026
相关 Paper
- Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation HeuristicsRostislav Horcík, Daniel Fiser, Álvaro TorralbaAAAI 2022 · 被引用 6 次
- Learning Domain-Independent Heuristics for Grounded and Lifted PlanningDillon Ze Chen, Sylvie Thiébaux, Felipe W. TrevizanAAAI 2024 · 被引用 29 次
- On Succinct Groundings of HTN Planning ProblemsGregor Behnke, Daniel Höller, Alexander Schmid, Pascal Bercher 等AAAI 2020 · 被引用 34 次
- Learning Heuristic Functions with Graph Neural Networks for Numeric PlanningValerio Borelli, Alfonso Gerevini, Enrico Scala, Ivan SerinaAAAI 2026 · 被引用 1 次
- Situation Calculus Temporally Lifted Abstractions for Generalized PlanningGiuseppe De Giacomo, Yves Lespérance, Matteo MancanelliAAAI 2025 · 被引用 2 次
