NAISS
SUPR
NAISS Projects
SUPR
Learning Dynamic Algorithms for Automated Planning
Dnr:

NAISS 2026/3-660

Type:

NAISS Medium

Principal Investigator:

Jendrik Seipp

Affiliation:

Linköpings universitet

Start Date:

2026-09-01

End Date:

2027-09-01

Primary Classification:

10210: Artificial Intelligence

Allocation

Abstract

The predecessor projects of this proposal were highly successful and generated numerous publications at flagship AI journals and conferences. Furthermore, they led to winning several awards at international competitions. In this continuation project, we will keep the original project focus and build on our past results to tackle new research challenges. Connecting the fields of model-based reasoning and data-driven learning is one of the key research goals in artificial intelligence. Our project contributes to this endeavor in the area of automated planning, where we will learn heuristic functions that guarantee optimal solutions and planning algorithms that dynamically adapt to the given task.