Malte Helmert

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Gabriele RögerUniversity of Basel, SwitzerlandVerified email at unibas.ch
Jendrik SeippSenior Associate Professor, Linköping UniversityVerified email at liu.se
Florian PommereningUniversity of BaselVerified email at unibas.ch
Joerg HoffmannProfessor, Saarland Informatics Campus, Saarland University and German Research Center for AI (DFKI)Verified email at cs.uni-saarland.de
Silvan SieversPost-Doc, University of BaselVerified email at unibas.ch
Martin WehrleVerified email at informatik.uni-freiburg.de
Thomas KellerUniversity of BaselVerified email at unibas.ch
Patrik HaslumAustralian National UniversityVerified email at anu.edu.au
Blai Bonet (ORCID: 0000-0001-8212-...Universitat Pompeu Fabra, Universidad Simón Bolívar, Caracas, VenezuelaVerified email at usb.ve
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
Michael KatzPrincipal Research Staff Member, IBM Research AIVerified email at ibm.com
Robert MattmüllerUniversity of Freiburg, GermanyVerified email at robert-mattmueller.de
Erez KarpasTechnionVerified email at technion.ac.il
Raz NissimEngineering Group Manager, Autonomous Driving Simulation, General Motors IsraelVerified email at gm.com
Edelkamp, StefanDepartment of Theor. Computer Science at Charles University and at FEL/CVUT in PragueVerified email at fel.cvut.cz
Nathan SturtevantUniversity of Alberta, Alberta Machine Intelligence Institute (Amii)Verified email at ualberta.ca
Sven KoenigChancellor's Professor and Bren Chair, UC IrvineVerified email at uci.edu
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
Hector GeffnerRWTH Aachen UniversityVerified email at upf.edu
Marco PistoreDirector, Digital Society Center, Fondazione Bruno Kessler, ItalyVerified email at fbk.eu

Malte Helmert

Professor of Computer Science, University of Basel

Verified email at unibas.ch

automated planning heuristic search


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The Fast Downward planning system M Helmert Journal of Artificial Intelligence Research 26, 191-246, 2006	2254	2006
Landmarks, critical paths and abstractions: what's the difference anyway? M Helmert, C Domshlak ICAPS, 162-169, 2009	648	2009
Concise finite-domain representations for PDDL planning tasks M Helmert Artificial Intelligence 173 (5-6), 503-535, 2009	403	2009
Flexible Abstraction Heuristics for Optimal Sequential Planning. M Helmert, P Haslum, J Hoffmann ICAPS, 176-183, 2007	349	2007
Landmarks Revisited S Richter, M Helmert, M Westphal AAAI, 975-982, 2008	337	2008
A Planning Heuristic Based on Causal Graph Analysis M Helmert ICAPS, 161-170, 2004	331	2004
Domain-independent construction of pattern database heuristics for cost-optimal planning P Haslum, A Botea, M Helmert, B Bonet, S Koenig AAAI 7, 1007-1012, 2007	297	2007
Merge-and-shrink abstraction: A method for generating lower bounds in factored state spaces M Helmert, P Haslum, J Hoffmann, R Nissim Journal of the ACM (JACM) 61 (3), 1-63, 2014	230	2014
Complexity results for standard benchmark domains in planning M Helmert Artificial Intelligence 143 (2), 219-262, 2003	175	2003
Unifying the Causal Graph and Additive Heuristics. M Helmert, H Geffner ICAPS, 140-147, 2008	170	2008
How Good is Almost Perfect?. M Helmert, G Röger AAAI 8, 944-949, 2008	160	2008
MIPS: The model-checking integrated planning system S Edelkamp, M Helmert AI magazine 22 (3), 67-67, 2001	154	2001
Trial-based heuristic tree search for finite horizon MDPs T Keller, M Helmert Proceedings of the International Conference on Automated Planning and …, 2013	153	2013
Preferred operators and deferred evaluation in satisficing planning S Richter, M Helmert Proceedings of the International Conference on Automated Planning and …, 2009	144	2009
Decidability and Undecidability Results for Planning with Numerical State Variables. M Helmert AIPS, 44-53, 2002	142	2002
Exhibiting knowledge in planning problems to minimize state encoding length S Edelkamp, M Helmert Recent Advances in AI Planning: 5th European Conference on Planning, ECP’99 …, 2000	140	2000
Sound and complete landmarks for and/or graphs E Keyder, S Richter, M Helmert ECAI 2010, 335-340, 2010	130	2010
LAMA 2008 and 2011 S Richter, M Westphal, M Helmert International Planning Competition, 117-124, 2011	128	2011
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	121	2015
The more, the merrier: Combining heuristic estimators for satisficing planning G Röger, M Helmert Proceedings of the International Conference on Automated Planning and …, 2010	120	2010

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