Malte Helmert - Google Scholar

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Gabriele RögerUniversity of BaselVerified email at unibas.ch
Jendrik SeippUniversity of BaselVerified email at unibas.ch
Martin WehrleVerified email at informatik.uni-freiburg.de
Florian PommereningUniversity of BaselVerified email at unibas.ch
Silvan SieversPost-Doc, University of BaselVerified email at unibas.ch
Joerg HoffmannProfessor of Computer Science, Saarland Informatics Campus, Saarland University, SaarbrueckenVerified email at cs.uni-saarland.de
Patrik HaslumVerified email at anu.edu.au
Thomas KellerUniversity of BaselVerified email at unibas.ch
Blai BonetProfessor of Computer Science, Universidad Simón Bolívar, Caracas, VenezuelaVerified email at ldc.usb.ve
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
Michael KatzResearch Staff Member, IBM Research AIVerified email at ibm.com
Erez KarpasTechnionVerified email at technion.ac.il
Robert MattmüllerUniversity of Freiburg, GermanyVerified email at robert-mattmueller.de
Raz NissimEngineering Group Manager, Autonomous Driving Simulation, General Motors IsraelVerified email at gm.com
Emil KeyderPostdoctoral researcher, INRIAVerified email at inria.fr
Nathan SturtevantUniversity of Alberta, Alberta Machine Intelligence Institute (Amii)Verified email at ualberta.ca
Adi BoteaResearcher, IBM Research, Dublin, IrelandVerified email at nicta.com.au
Sven KoenigProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Marco PistoreResearch Director, Service Oriented Applications, Fondazione Bruno Kessler, ItalyVerified email at fbk.eu
Hector GeffnerICREA & Universitat Pompeu Fabra, Artificial Intelligence and Machine Learning Group, DTICVerified email at upf.edu

Malte Helmert

Professor of Computer Science, University of Basel

Verified email at unibas.ch

Artificial Intelligence


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The Fast Downward planning system M Helmert Journal of Artificial Intelligence Research 26, 191-246, 2006	1417	2006
Landmarks, critical paths and abstractions: what's the difference anyway? M Helmert, C Domshlak Nineteenth International Conference on Automated Planning and Scheduling, 2009	436	2009
Flexible Abstraction Heuristics for Optimal Sequential Planning. M Helmert, P Haslum, J Hoffmann ICAPS, 176-183, 2007	294	2007
A Planning Heuristic Based on Causal Graph Analysis M Helmert ICAPS 4, 161-170, 2004	282	2004
Landmarks Revisited S Richter, M Helmert, M Westphal AAAI 8, 975-982, 2008	275	2008
Concise finite-domain representations for PDDL planning tasks M Helmert Artificial Intelligence 173 (5-6), 503-535, 2009	258	2009
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	226	2007
Complexity results for standard benchmark domains in planning M Helmert Artificial Intelligence 143 (2), 219-262, 2003	151	2003
Unifying the Causal Graph and Additive Heuristics. M Helmert, H Geffner ICAPS, 140-147, 2008	141	2008
How Good is Almost Perfect?. M Helmert, G Röger AAAI 8, 944-949, 2008	138	2008
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	136	2014
MIPS: The model-checking integrated planning system S Edelkamp, M Helmert AI magazine 22 (3), 67-67, 2001	134	2001
Exhibiting knowledge in planning problems to minimize state encoding length S Edelkamp, M Helmert European Conference on Planning, 135-147, 1999	127	1999
Preferred operators and deferred evaluation in satisficing planning S Richter, M Helmert Nineteenth International Conference on Automated Planning and Scheduling, 2009	117	2009
Trial-based heuristic tree search for finite horizon MDPs T Keller, M Helmert Twenty-Third International Conference on Automated Planning and Scheduling, 2013	103	2013
LAMA 2008 and 2011 S Richter, M Westphal, M Helmert International Planning Competition, 117-124, 2011	94	2011
Sound and Complete Landmarks for And/Or Graphs. E Keyder, S Richter, M Helmert ECAI 215, 335-340, 2010	92	2010
Decidability and Undecidability Results for Planning with Numerical State Variables. M Helmert AIPS, 44-53, 2002	91	2002
Strengthening Landmark Heuristics via Hitting Sets. B Bonet, M Helmert ECAI 215, 329-334, 2010	90	2010
The more, the merrier: Combining heuristic estimators for satisficing planning G Röger, M Helmert Twentieth International Conference on Automated Planning and Scheduling, 2010	87	2010

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