This page shows the publications of our Lab. For a full list of an author's publications, please consult their personal page.

Publications

2023

  • Alexander Shleyfman, Daniel Gnad and Peter Jonsson.
    Structurally Restricted Fragments of Numeric Planning – A Complexity Analysis.
    In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). 2023.
    citation

2022

  • Simon Ståhlberg, Blai Bonet and Hector Geffner.
    Learning Generalized Policies without Supervision Using GNNs.
    In Proceedings of the Nineteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2022). 2022.
    paper slides citation

  • Patrick Ferber, Liat Cohen, Jendrik Seipp and Thomas Keller.
    Learning and Exploiting Progress States in Greedy Best-First Search.
    In Proceedings of the 31th International Joint Conference on Artificial Intelligence (IJCAI 2022), pp. 4740–4746. 2022.
    paper slides poster code citation

  • Silvan Sievers, Daniel Gnad and Álvaro Torralba.
    Additive Pattern Databases for Decoupled Search.
    In Proceedings of the 15th Annual Symposium on Combinatorial Search (SoCS 2022), pp. 180–189. 2022.
    paper code citation

  • Kilian Hu and David Speck.
    On Bidirectional Heuristic Search in Classical Planning: An Analysis of BAE*.
    In Proceedings of the 15th Annual Symposium on Combinatorial Search (SoCS 2022), pp. 91–99. 2022.
    paper slides code citation

  • Remo Christen, Salomé Eriksson, Michael Katz, Emil Keyder, Christian Muise, Alice Petrov, Florian Pommerening, Jendrik Seipp, Silvan Sievers and David Speck.
    (PARIS) Planning Algorithms for Reconfiguring Independent Sets.
    In First CoRe Challenge: Solver and Graph Descriptions, pp. 15–22. 2022.
    paper citation

  • Simon Ståhlberg, Blai Bonet and Hector Geffner.
    Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022). 2022.
    paper slides citation

  • Augusto B. Corrêa and Jendrik Seipp.
    Best-First Width Search for Lifted Classical Planning.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 11–15. 2022.
    paper slides poster code citation

  • Dominik Drexler, Jendrik Seipp and Hector Geffner.
    Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 62–70. 2022.
    paper slides poster code citation

  • Daniel Gnad, Álvaro Torralba and Daniel Fišer.
    Beyond Stars - Generalized Topologies for Decoupled Search.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 110–118. 2022.
    paper code citation

  • David Speck and Jendrik Seipp.
    New Refinement Strategies for Cartesian Abstractions.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 348–352. 2022.
    paper recording poster code citation

  • Julian von Tschammer, Robert Mattmüller and David Speck.
    Loopless Top-K Planning.
    In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022), pp. 380–384. 2022.
    paper slides recording poster citation

  • Christian Muise, Florian Pommerening, Jendrik Seipp and Michael Katz.
    Planutils: Bringing Planning to the Masses.
    In 32nd International Conference on Automated Planning and Scheduling, System Demonstrations and Exhibits. 2022.
    paper recording poster citation

  • Clemens Büchner, Patrick Ferber, Jendrik Seipp and Malte Helmert.
    A Comparison of Abstraction Heuristics for Rubik's Cube.
    In ICAPS 2022 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP). 2022.
    paper slides recording code citation

  • André Biedenkapp, David Speck, Silvan Sievers, Frank Hutter, Marius Lindauer and Jendrik Seipp.
    Learning Domain-Independent Policies for Open List Selection.
    In ICAPS 2022 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). 2022.
    paper slides recording citation

  • Patrick Ferber and Jendrik Seipp.
    Explainable Planner Selection for Classical Planning.
    In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), pp. 9741–9749. 2022.
    paper slides poster code citation

2021