Jendrik Seipp

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Malte HelmertProfessor of Computer Science, University of BaselEmail yang diverifikasi di unibas.ch
Florian PommereningUniversity of BaselEmail yang diverifikasi di unibas.ch
Silvan SieversPost-Doc, University of BaselEmail yang diverifikasi di unibas.ch
Gabriele RögerUniversity of Basel, SwitzerlandEmail yang diverifikasi di unibas.ch
Thomas KellerUniversity of BaselEmail yang diverifikasi di unibas.ch
Dominik DrexlerPhD Student, Linköping UniversityEmail yang diverifikasi di liu.se
David SpeckPostdoctoral researcher, University of BaselEmail yang diverifikasi di unibas.ch
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyEmail yang diverifikasi di cs.uni-freiburg.de
Patrick FerberSaarland University, University of BaselEmail yang diverifikasi di unibas.ch
Erez KarpasTechnionEmail yang diverifikasi di technion.ac.il
Hector GeffnerRWTH Aachen UniversityEmail yang diverifikasi di upf.edu
Michael KatzPrincipal Research Staff Member, IBM Research AIEmail yang diverifikasi di ibm.com
Augusto B. CorrêaUniversity of OxfordEmail yang diverifikasi di chch.ox.ac.uk
Chris FawcettPhD Student, University of British ColumbiaEmail yang diverifikasi di cs.ubc.ca
Álvaro TorralbaAalborg UniversityEmail yang diverifikasi di cs.aau.dk
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaEmail yang diverifikasi di cs.rwth-aachen.de
Paul HöftLinköping UniversityEmail yang diverifikasi di liu.se
Christian MuiseQueen's UniversityEmail yang diverifikasi di queensu.ca
Markus HecherMITEmail yang diverifikasi di mit.edu
Martin WehrleEmail yang diverifikasi di informatik.uni-freiburg.de

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Jendrik Seipp

Senior Associate Professor, Linköping University

Email yang diverifikasi di liu.se - Beranda

Artificial Intelligence Automated Planning Machine Learning Heuristic Search


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	125	2015
Downward Lab J Seipp, F Pommerening, S Sievers, M Helmert	109	2017
Counterexample-guided Cartesian abstraction refinement for classical planning J Seipp, M Helmert Journal of Artificial Intelligence Research 62, 535-577, 2018	100	2018
Counterexample-guided Cartesian Abstraction Refinement J Seipp, M Helmert ICAPS, 2013	100	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	67	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
New optimization functions for potential heuristics J Seipp, F Pommerening, M Helmert Proceedings of the International Conference on Automated Planning and …, 2015	61	2015
Automatic Configuration of Sequential Planning Portfolios J Seipp, S Sievers, F Hutter	61	2013
Diverse and additive Cartesian abstraction heuristics J Seipp, M Helmert Proceedings of the International Conference on Automated Planning and …, 2014	52	2014
Fast Downward Stone Soup M Helmert, G Röger, J Seipp, E Karpas, J Hoffmann, E Keyder, R Nissim, ...	49	2011
PDDL generators J Seipp, A Torralba, J Hoffmann Zenodo. doi: https://doi. org/10.5281/zenodo 6382173, 2022	35	2022
Automatic instance generation for classical planning A Torralba, J Seipp, S Sievers Proceedings of the International Conference on Automated Planning and …, 2021	35	2021
Scorpion J Seipp IPC-9 planner abstracts, 77-79, 2018	35*	2018
Pyperplan Y Alkhazraji, M Frorath, M Grützner, M Helmert, T Liebetraut, R Mattmüller, ... URL https://doi. org/10.5281/zenodo 3700819, 2020	34	2020
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
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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