Title
The FF Heuristic for Lifted Classical Planning.
Abstract
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.
Year
Venue
Keywords
2022
AAAI Conference on Artificial Intelligence
Planning,Routing,And Scheduling (PRS)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Augusto B. Corrêa101.35
Florian Pommerening28511.93
Malte Helmert31888103.54
Guillem Francès4294.73