| From non-negative to general operator cost partitioning F Pommerening, M Helmert, G Röger, J Seipp Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 136 | 2015 |
| Downward Lab J Seipp, F Pommerening, S Sievers, M Helmert | 127 | 2017 |
| Counterexample-guided Cartesian abstraction refinement for classical planning J Seipp, M Helmert Journal of Artificial Intelligence Research 62, 535-577, 2018 | 113 | 2018 |
| Counterexample-guided Cartesian Abstraction Refinement J Seipp, M Helmert ICAPS, 2013 | 108 | 2013 |
| Saturated cost partitioning for optimal classical planning J Seipp, T Keller, M Helmert Journal of Artificial Intelligence Research 67, 129–167-129–167, 2020 | 83 | 2020 |
| FD-Autotune: Domain-specific configuration using Fast Downward C Fawcett, M Helmert, H Hoos, E Karpas, G Röger, J Seipp Proc. of ICAPS-PAL 2011 (8), 2011 | 72 | 2011 |
| The 2023 International Planning Competition A Taitler, R Alford, J Espasa, G Behnke, D Fišer, M Gimelfarb, ... AI Magazine 45 (2), 280-296, 2024 | 69 | 2024 |
| Automatic Configuration of Sequential Planning Portfolios J Seipp, S Sievers, F Hutter | 66 | 2013 |
| Learning portfolios of automatically tuned planners J Seipp, M Braun, J Garimort, M Helmert Proceedings of the International Conference on Automated Planning and …, 2012 | 66 | 2012 |
| New optimization functions for potential heuristics J Seipp, F Pommerening, M Helmert Proceedings of the International Conference on Automated Planning and …, 2015 | 62 | 2015 |
| Diverse and additive Cartesian abstraction heuristics J Seipp, M Helmert Proceedings of the International Conference on Automated Planning and …, 2014 | 55 | 2014 |
| PDDL generators J Seipp, Á Torralba, J Hoffmann Zenodo, 2022 | 52 | 2022 |
| Automatic instance generation for classical planning A Torralba, J Seipp, S Sievers Proceedings of the International Conference on Automated Planning and …, 2021 | 49 | 2021 |
| Fast Downward Stone Soup M Helmert, G Röger, J Seipp, E Karpas, J Hoffmann, E Keyder, R Nissim, ... | 49 | 2011 |
| Pyperplan Y Alkhazraji, M Frorath, M Grützner, M Helmert, T Liebetraut, R Mattmüller, ... Zenodo, 2020 | 45 | 2020 |
| Learning sketches for decomposing planning problems into subproblems of bounded width D Drexler, J Seipp, H Geffner Proceedings of the International Conference on Automated Planning and …, 2022 | 41 | 2022 |
| Correlation Complexity of Classical Planning Domains J Seipp, F Pommerening, G Röger, M Helmert Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 37 | 2016 |
| Scorpion J Seipp IPC-9 planner abstracts, 77-79, 2018 | 35* | 2018 |
| Fast Downward Stone Soup 2018 J Seipp, G Röger IPC2018–Classical Tracks, 72-74, 2018 | 34 | 2018 |
| NL2Plan: Robust LLM-driven planning from minimal text descriptions E Gestrin, M Kuhlmann, J Seipp arXiv preprint arXiv:2405.04215, 2024 | 30 | 2024 |
Malte HelmertProfessor of Computer Science, University of BaselVerified email at unibas.ch
