AI RESEARCH
Parallel Lifted Planning via Semi-Naive Datalog Evaluation
arXiv CS.AI
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ArXi:2605.07584v1 Announce Type: new Lifted classical planners operate directly on first-order planning tasks to avoid the computationally demanding grounding step. However, lifted planning is typically slower, as planners must repeatedly instantiate ground structures during search. Many core components of lifted classical planning, such as successor generation, axiom evaluation, task grounding, and delete-relaxed heuristics, have previously been studied through the lens of Datalog evaluation.