Jendrik Seipp

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Malte HelmertProfessor of Computer Science, University of BaselPatvirtintas el. paštas unibas.ch
Florian PommereningUniversity of BaselPatvirtintas el. paštas unibas.ch
Silvan SieversPost-Doc, University of BaselPatvirtintas el. paštas unibas.ch
Gabriele RögerUniversity of Basel, SwitzerlandPatvirtintas el. paštas unibas.ch
Thomas KellerUniversity of BaselPatvirtintas el. paštas unibas.ch
Dominik DrexlerPhD Student, Linköping UniversityPatvirtintas el. paštas liu.se
David SpeckPostdoctoral researcher, University of BaselPatvirtintas el. paštas unibas.ch
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyPatvirtintas el. paštas cs.uni-freiburg.de
Patrick FerberSaarland University, University of BaselPatvirtintas el. paštas unibas.ch
Erez KarpasTechnionPatvirtintas el. paštas technion.ac.il
Hector GeffnerRWTH Aachen UniversityPatvirtintas el. paštas upf.edu
Michael KatzPrincipal Research Staff Member, IBM Research AIPatvirtintas el. paštas ibm.com
Chris FawcettPhD Student, University of British ColumbiaPatvirtintas el. paštas cs.ubc.ca
Augusto B. CorrêaUniversity of OxfordPatvirtintas el. paštas chch.ox.ac.uk
Álvaro TorralbaAalborg UniversityPatvirtintas el. paštas cs.aau.dk
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaPatvirtintas el. paštas cs.rwth-aachen.de
Paul HöftLinköping UniversityPatvirtintas el. paštas liu.se
Christian MuiseQueen's UniversityPatvirtintas el. paštas queensu.ca
Markus HecherMITPatvirtintas el. paštas mit.edu
Martin WehrlePatvirtintas el. paštas informatik.uni-freiburg.de

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Jendrik Seipp

Senior Associate Professor, Linköping University

Patvirtintas el. paštas liu.se - Pagrindinis puslapis

Artificial Intelligence Automated Planning Machine Learning Heuristic Search


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	124	2015
Downward Lab J Seipp, F Pommerening, S Sievers, M Helmert	107	2017
Counterexample-guided Cartesian abstraction refinement for classical planning J Seipp, M Helmert Journal of Artificial Intelligence Research 62, 535-577, 2018	99	2018
Counterexample-guided Cartesian Abstraction Refinement J Seipp, M Helmert ICAPS, 2013	99	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	66	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	65	2011
Learning portfolios of automatically tuned planners J Seipp, M Braun, J Garimort, M Helmert Proceedings of the International Conference on Automated Planning and …, 2012	62	2012
Automatic Configuration of Sequential Planning Portfolios J Seipp, S Sievers, F Hutter	61	2013
New optimization functions for potential heuristics J Seipp, F Pommerening, M Helmert Proceedings of the International Conference on Automated Planning and …, 2015	60	2015
Diverse and additive Cartesian abstraction heuristics J Seipp, M Helmert Proceedings of the International Conference on Automated Planning and …, 2014	51	2014
Fast Downward Stone Soup M Helmert, G Röger, J Seipp, E Karpas, J Hoffmann, E Keyder, R Nissim, ...	49	2011
Scorpion J Seipp IPC-9 planner abstracts, 77-79, 2018	35*	2018
PDDL generators J Seipp, A Torralba, J Hoffmann Zenodo. doi: https://doi. org/10.5281/zenodo 6382173, 2022	34	2022
Automatic instance generation for classical planning A Torralba, J Seipp, S Sievers Proceedings of the International Conference on Automated Planning and …, 2021	34	2021
Fast Downward Stone Soup 2018 J Seipp, G Röger IPC2018–Classical Tracks, 72-74, 2018	34	2018
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	34	2016
Pyperplan Y Alkhazraji, M Frorath, M Grützner, M Helmert, T Liebetraut, R Mattmüller, ... URL https://doi. org/10.5281/zenodo 3700819, 2020	33	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	31	2022
Narrowing the gap between saturated and optimal cost partitioning for classical planning J Seipp, T Keller, M Helmert Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	26	2017
A comparison of cost partitioning algorithms for optimal classical planning J Seipp, T Keller, M Helmert Proceedings of the International Conference on Automated Planning and …, 2017	25	2017

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