Learning Dynamic Algorithms for Automated Planning (LDAAP)

We will develop efficient methods for combining heuristics in optimal classical planning. The goal is to provide strong search guidance at a lower computational cost while preserving the guarantee of finding optimal plans.

PI: Jendrik Seipp

Core team: Paul Höft, David Speck

Funding: This project is partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.