| downward-lab 2.0 J Seipp, F Pommerening, S Sievers, M Helmert | 56* | 2017 |
| Automatic Configuration of Sequential Planning Portfolios. J Seipp, S Sievers, M Helmert, F Hutter AAAI, 3364-3370, 2015 | 55 | 2015 |
| Generalized Label Reduction for Merge-and-Shrink Heuristics S Sievers, M Wehrle, M Helmert Heuristics and Search for Domain Independent Planning, 107, 2014 | 53 | 2014 |
| Heuristics and Symmetries in Classical Planning. A Shleyfman, M Katz, M Helmert, S Sievers, M Wehrle AAAI 2015, 3371-3377, 2015 | 51 | 2015 |
| Efficient Implementation of Pattern Database Heuristics for Classical Planning S Sievers, M Ortlieb, M Helmert Proceedings of the Fifth Annual Symposium on Combinatorial Search (SOCS 2012 …, 2012 | 46 | 2012 |
| Deep learning for cost-optimal planning: Task-dependent planner selection S Sievers, M Katz, S Sohrabi, H Samulowitz, P Ferber Proceedings of the AAAI Conference on Artificial Intelligence 33, 7715-7723, 2019 | 29 | 2019 |
| An Analysis of Merge Strategies for Merge-and-Shrink Heuristics. S Sievers, M Wehrle, M Helmert ICAPS, 294-298, 2016 | 29 | 2016 |
| Delfi: Online planner selection for cost-optimal planning M Katz, S Sohrabi, H Samulowitz, S Sievers IPC-9 planner abstracts, 57-64, 2018 | 26 | 2018 |
| Factored Symmetries for Merge-and-Shrink Abstractions. S Sievers, M Wehrle, M Helmert, A Shleyfman, M Katz AAAI, 3378-3385, 2015 | 26 | 2015 |
| Fast Downward Aidos J Seipp, F Pommerening, S Sievers, M Wehrle, C Fawcett, Y Alkhazraji UIPC 2016 Planner Abstracts, 28-38, 2016 | 21 | 2016 |
| Symmetry-based task reduction for relaxed reachability analysis G Röger, S Sievers, M Katz Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018 | 16 | 2018 |
| Fast Downward Cedalion J Seipp, S Sievers, F Hutter Eighth International Planning Competition (IPC-8) Planning and Learning Part …, 2014 | 16 | 2014 |
| Theoretical Foundations for Structural Symmetries of Lifted PDDL Tasks S Sievers, G Röger, M Wehrle, M Katz Proc. ICAPS, 2019 | 13 | 2019 |
| On the Expressive Power of Non-Linear Merge-and-Shrink Representations. M Helmert, G Röger, S Sievers ICAPS, 106-114, 2015 | 13 | 2015 |
| Merge-and-shrink heuristics for classical planning: Efficient implementation and partial abstractions S Sievers Proceedings of the 11th Annual Symposium on Combinatorial Search (SoCS 2018 …, 2018 | 12 | 2018 |
| Merge-and-shrink abstractions for classical planning: theory, strategies, and implementation S Sievers University_of_Basel, 2017 | 8 | 2017 |
| A Doppelkopf Player Based on UCT S Sievers, M Helmert KI 2015: Advances in Artificial Intelligence, 151-165, 2015 | 8 | 2015 |
| Structural Symmetries of the Lifted Representation of Classical Planning Tasks S Sievers, G Röger, M Wehrle, M Katz ICAPS 2017 Workshop on Heuristics and Search for Domain-independent Planning …, 2017 | 7 | 2017 |
| Graph-Based Factorization of Classical Planning Problems. M Wehrle, S Sievers, M Helmert IJCAI, 3286-3292, 2016 | 7 | 2016 |
| An Empirical Case Study on Symmetry Handling in Cost-Optimal Planning as Heuristic Search S Sievers, M Wehrle, M Helmert, M Katz KI 2015: Advances in Artificial Intelligence, 166-180, 2015 | 7 | 2015 |
Malte HelmertProfessor of Computer Science, University of BaselBestätigte E-Mail-Adresse bei unibas.ch
