Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
Andrea Micheli, Enrico Scala, Alessandro Valentini

TL;DR
This paper presents a practical polynomial compilation method that translates temporal planning with durative actions into PDDL+, accurately capturing semantics and demonstrating effectiveness on complex numeric problems.
Contribution
It introduces the first practical, semantics-preserving compilation from temporal durative actions to PDDL+ with polynomial complexity.
Findings
Compilation is polynomial in size
Retains plan length within a constant factor
Effective on challenging temporal numeric problems
Abstract
Since the introduction of the PDDL+ modeling language, it was known that temporal planning with durative actions (as in PDDL 2.1) could be compiled into PDDL+. However, no practical compilation was presented in the literature ever since. We present a practical compilation from temporal planning with durative actions into PDDL+, fully capturing the semantics and only assuming the non-self-overlapping of actions. Our compilation is polynomial, retains the plan length up to a constant factor and is experimentally shown to be of practical relevance for hard temporal numeric problems.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Constraint Satisfaction and Optimization · Formal Methods in Verification
