Paul Höft
PhD Student
About Me
I am a Ph.D. student at Linköping University, Sweden. I work at the Artificial Intelligence & Integrated Computer Systems Division (AIICS) in the Representation Learning and Planning Lab (RLPLAB). My main research interests are optimal classical planning and machine learning.
Short bio
I finished my bachelor's and master's degree at the University of Basel in 2019 and 2021 respectively and joined RLPLAB in September of 2021.
Awards
- Winner, Deterministic Optimal Track for the Ragnarok planner with Dominik Drexler, Daniel Gnad, Jendrik Seipp, David Speck, and Simon Ståhlberg at the 10th International Planning Competition (IPC 2023) at ICAPS 2023.
Publications
2023
Paul Höft, David Speck and Jendrik Seipp.
Sensitivity Analysis for Saturated Post-hoc Optimization in Classical Planning.
In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023), pp. 1044–1051. 2023.
paper slides poster code citationDavid Speck, Paul Höft, Daniel Gnad and Jendrik Seipp.
Finding Matrix Multiplication Algorithms with Classical Planning - Extended Abstract.
In The 35th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). 2023.
paper code citation (Superseded by the ICAPS 2023 paper with the same name.)David Speck, Paul Höft, Daniel Gnad and Jendrik Seipp.
Finding Matrix Multiplication Algorithms with Classical Planning.
In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS 2023), pp. 411–416. 2023.
paper code citation