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Journal Articles
- 2024
[j4]Ayal Taitler
, Ron Alford, Joan Espasa, Gregor Behnke, Daniel Fiser, Michael Gimelfarb, Florian Pommerening, Scott Sanner, Enrico Scala, Dominik Schreiber, Javier Segovia-Aguas, Jendrik Seipp:
The 2023 International Planning Competition. AI Mag. 45(2): 280-296 (2024)- [j3]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches. J. Artif. Intell. Res. 80 (2024) - 2020
- [j2]Jendrik Seipp, Thomas Keller, Malte Helmert:
Saturated Cost Partitioning for Optimal Classical Planning. J. Artif. Intell. Res. 67: 129-167 (2020) - 2018
- [j1]Jendrik Seipp, Malte Helmert:
Counterexample-Guided Cartesian Abstraction Refinement for Classical Planning. J. Artif. Intell. Res. 62: 535-577 (2018)
Conference and Workshop Papers
- 2024
- [c39]Jendrik Seipp:
Dissecting Scorpion: Ablation Study of an Optimal Classical Planner. ECAI 2024: 39-42 - [c38]Mika Skjelnes, Daniel Gnad, Jendrik Seipp:
Cost Partitioning for Multiple Sequence Alignment. ECAI 2024: 4224-4231 - [c37]Clemens Büchner, Patrick Ferber, Jendrik Seipp, Malte Helmert:
Abstraction Heuristics for Factored Tasks. ICAPS 2024: 40-49 - [c36]Paul Höft, David Speck, Florian Pommerening, Jendrik Seipp:
Versatile Cost Partitioning with Exact Sensitivity Analysis. ICAPS 2024: 276-280 - [c35]Jendrik Seipp:
Efficiently Computing Transitions in Cartesian Abstractions. ICAPS 2024: 509-513 - 2023
- [c34]David Speck, Paul Höft, Daniel Gnad, Jendrik Seipp:
Finding Matrix Multiplication Algorithms with Classical Planning. ICAPS 2023: 411-416 - [c33]Remo Christen, Salomé Eriksson, Michael Katz, Christian Muise, Alice Petrov, Florian Pommerening, Jendrik Seipp, Silvan Sievers, David Speck:
PARIS: Planning Algorithms for Reconfiguring Independent Sets. ECAI 2023: 453-460 - [c32]Paul Höft, David Speck, Jendrik Seipp:
Sensitivity Analysis for Saturated Post-Hoc Optimization in Classical Planning. ECAI 2023: 1044-1051 - [c31]Thorsten Klößner, Jendrik Seipp, Marcel Steinmetz:
Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning. ECAI 2023: 1272-1279 - [c30]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Learning Hierarchical Policies by Iteratively Reducing the Width of Sketch Rules. KR 2023: 208-218 - [c29]Mauricio Salerno, Raquel Fuentetaja, Jendrik Seipp:
Eliminating Redundant Actions from Plans Using Classical Planning. KR 2023: 774-778 - 2022
- [c28]Patrick Ferber, Jendrik Seipp:
Explainable Planner Selection for Classical Planning. AAAI 2022: 9741-9749 - [c27]Augusto B. Corrêa, Jendrik Seipp:
Best-First Width Search for Lifted Classical Planning. ICAPS 2022: 11-15 - [c26]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width. ICAPS 2022: 62-70 - [c25]David Speck, Jendrik Seipp:
New Refinement Strategies for Cartesian Abstractions. ICAPS 2022: 348-352 - [c24]Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller:
Learning and Exploiting Progress States in Greedy Best-First Search. IJCAI 2022: 4740-4746 - 2021
- [c23]Jendrik Seipp, Thomas Keller, Malte Helmert:
Saturated Post-hoc Optimization for Classical Planning. AAAI 2021: 11947-11953 - [c22]Dominik Drexler, Jendrik Seipp, David Speck:
Subset-Saturated Transition Cost Partitioning. ICAPS 2021: 131-139 - [c21]Florian Pommerening, Thomas Keller, Valentina Halasi, Jendrik Seipp, Silvan Sievers, Malte Helmert:
Dantzig-Wolfe Decomposition for Cost Partitioning. ICAPS 2021: 271-280 - [c20]Jendrik Seipp:
Online Saturated Cost Partitioning for Classical Planning. ICAPS 2021: 317-321 - [c19]Álvaro Torralba, Jendrik Seipp, Silvan Sievers:
Automatic Instance Generation for Classical Planning. ICAPS 2021: 376-384 - [c18]Simon Ståhlberg, Guillem Francès, Jendrik Seipp:
Learning Generalized Unsolvability Heuristics for Classical Planning. IJCAI 2021: 4175-4181 - [c17]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches. KR 2021: 258-268 - 2020
- [c16]Jendrik Seipp, Samuel von Allmen, Malte Helmert:
Incremental Search for Counterexample-Guided Cartesian Abstraction Refinement. ICAPS 2020: 244-248 - [c15]Gabriele Röger, Malte Helmert, Jendrik Seipp, Silvan Sievers:
An Atom-Centric Perspective on Stubborn Sets. SOCS 2020: 57-65 - 2019
- [c14]Jendrik Seipp, Malte Helmert:
Subset-Saturated Cost Partitioning for Optimal Classical Planning. ICAPS 2019: 391-400 - [c13]Jendrik Seipp:
Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning. IJCAI 2019: 5621-5627 - 2017
- [c12]Jendrik Seipp, Thomas Keller, Malte Helmert:
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. AAAI 2017: 3651-3657 - [c11]Jendrik Seipp, Thomas Keller, Malte Helmert:
A Comparison of Cost Partitioning Algorithms for Optimal Classical Planning. ICAPS 2017: 259-268 - [c10]Jendrik Seipp:
Better Orders for Saturated Cost Partitioning in Optimal Classical Planning. SOCS 2017: 149-153 - 2016
- [c9]Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer, Robert Mattmüller:
State-Dependent Cost Partitionings for Cartesian Abstractions in Classical Planning. IJCAI 2016: 3161-3169 - [c8]Jendrik Seipp, Florian Pommerening, Gabriele Röger, Malte Helmert:
Correlation Complexity of Classical Planning Domains. IJCAI 2016: 3242-3250 - 2015
- [c7]Florian Pommerening, Malte Helmert, Gabriele Röger, Jendrik Seipp:
From Non-Negative to General Operator Cost Partitioning. AAAI 2015: 3335-3341 - [c6]Jendrik Seipp, Silvan Sievers, Malte Helmert, Frank Hutter:
Automatic Configuration of Sequential Planning Portfolios. AAAI 2015: 3364-3370 - [c5]Jendrik Seipp, Florian Pommerening, Malte Helmert:
New Optimization Functions for Potential Heuristics. ICAPS 2015: 193-201 - 2014
- [c4]Jendrik Seipp, Malte Helmert:
Diverse and Additive Cartesian Abstraction Heuristics. ICAPS 2014 - 2013
- [c3]Jendrik Seipp, Malte Helmert:
Additive Counterexample-Guided Cartesian Abstraction Refinement. AAAI (Late-Breaking Developments) 2013 - [c2]Jendrik Seipp, Malte Helmert:
Counterexample-Guided Cartesian Abstraction Refinement. ICAPS 2013 - 2012
- [c1]Jendrik Seipp, Manuel Braun, Johannes Garimort, Malte Helmert:
Learning Portfolios of Automatically Tuned Planners. ICAPS 2012
Data and Artifacts
- 2022
- [d1]Jendrik Seipp, Álvaro Torralba, Jörg Hoffmann:
PDDL Generators. Zenodo, 2022
Informal and Other Publications
- 2024
- [i5]Augusto B. Corrêa, Jendrik Seipp:
Consolidating LAMA with Best-First Width Search. CoRR abs/2404.17648 (2024) - [i4]Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis, Aneta Vulgarakis Feljan, Jendrik Seipp:
Numeric Reward Machines. CoRR abs/2404.19370 (2024) - [i3]Elliot Gestrin, Marco Kuhlmann, Jendrik Seipp:
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions. CoRR abs/2405.04215 (2024) - 2022
- [i2]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width: Extended Version. CoRR abs/2203.14852 (2022) - 2021
- [i1]Dominik Drexler, Jendrik Seipp, Hector Geffner:
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version. CoRR abs/2105.04250 (2021)
Coauthor Index
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last updated on 2024-10-28 21:16 CET by the dblp team
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