The Power of Reformulation: From Validation to Planning in PDDL+
Keywords:Planning For Hybrid Systems, PDDL Validation, Translation Based Approaches, Numeric Planning
AbstractPDDL+ allows the formal specification of systems representing mixed discrete-continuous representation, under both discrete and continuous dynamics; this expressiveness is pivotal in real-world applications. An important aspect is the capability of validating plans obtained by planning systems, and assessing their compliance against the domain's model. Unfortunately, a very limited number of validation tools are capable of dealing with PDDL+ tasks. To overcome this problem, in this work we propose an approach that allows exploiting any domain-independent PDDL+ or PDDL2.1 planning engine for validating PDDL+ plans. We introduce a set of translations that, given a PDDL+ plan and the corresponding PDDL+ task, generate a new PDDL+ or PDDL2.1 whose solvability is bound to the validity of the considered plan. We empirically evaluate the usefulness of the proposed approach on a range of PDDL+ benchmarks under an interpretation of time that can be either continuous (through a PDDL+ translation) or discrete (through a PDDL+ or a PDDL2.1 translation).
How to Cite
Percassi, F., Scala, E., & Vallati, M. (2022). The Power of Reformulation: From Validation to Planning in PDDL+. Proceedings of the International Conference on Automated Planning and Scheduling, 32(1), 288-296. https://doi.org/10.1609/icaps.v32i1.19812