TY - JOUR AU - Vallati, Mauro AU - Serina, Ivan PY - 2018/06/15 Y2 - 2024/03/29 TI - A General Approach for Configuring PDDL Problem Models JF - Proceedings of the International Conference on Automated Planning and Scheduling JA - ICAPS VL - 28 IS - 1 SE - Planning and Learning Track DO - 10.1609/icaps.v28i1.13869 UR - https://ojs.aaai.org/index.php/ICAPS/article/view/13869 SP - 431-435 AB - <p> The development of a large number of domain-independentplanners is leading to the use of planning engines in a widerange of applications. This is despite the complexity issues inherent in plan generation, which are exacerbated by the separation of planner logic from domain knowledge. However, this separation supports the use of reformulation and configuration techniques, which transform the model representation in order to improve the planner's performance. In this paper, we investigate how the performance of domain-independent planners can be improved by problem model configuration. We introduce a fully automated method for this configuration task, that considers problem-specific aspects extracted by exploiting a problem- and domain-independent representation of the instance. Our extensive experimental analysis shows that this reformulation technique can have a significant impact on planners' performance. </p> ER -