Marc Toussaint

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	All	Since 2016
Citations	5849	3161
h-index	39	29
i10-index	112	72

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Co-authors

Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
Nikolay JetchevSenior Research Scientist at ZalandoVerified email at zalando.de
Manuel LopesInstituto Superior Tecnico, INESC-IDVerified email at tecnico.ulisboa.pt
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Peter EnglertUniversity of Southern CaliforniaVerified email at usc.edu
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Danny DriessUniversity of StuttgartVerified email at ipvs.uni-stuttgart.de
Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Ngo Anh VienBosch Center for Artificial Intelligence (BCAI)Verified email at bosch.com
Johannes KulickApplied Scientist at Amazon BerlinVerified email at amazon.com
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at roslin.ed.ac.uk
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Nathan RatliffNVIDIAVerified email at nvidia.com
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementVerified email at smu.edu.sg
Thibaut MunzerInriaVerified email at inria.fr
Andreas DoerrResearch Scientist, Bosch Center for Artificial Intelligence, Max Planck Institut ISVerified email at tuebingen.mpg.de
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Jim MainpriceInterim Professor, Stuttgart UniversityVerified email at ipvs.uni-stuttgart.de

Marc Toussaint

Professor of Computer Science, TU Berlin, Germany

Verified email at informatik.uni-stuttgart.de - Homepage

Robotics Robot Learning Artificial Intelligence


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Using machine learning to focus iterative optimization F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ... International Symposium on Code Generation and Optimization (CGO'06), 11 pp.-305, 2006	451	2006
Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009	269	2009
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar Twenty-third international joint conference on artificial intelligence, 2013	208	2013
Probabilistic inference for solving discrete and continuous state Markov Decision Processes M Toussaint, A Storkey Proceedings of the 23rd international conference on Machine learning, 945-952, 2006	203	2006
Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012	181	2012
A no-free-lunch theorem for non-uniform distributions of target functions C Igel, M Toussaint Journal of Mathematical Modelling and Algorithms 3 (4), 313-322, 2005	152	2005
Gaussian process implicit surfaces for shape estimation and grasping S Dragiev, M Toussaint, M Gienger 2011 IEEE International Conference on Robotics and Automation, 2845-2850, 2011	144	2011
Exploration in model-based reinforcement learning by empirically estimating learning progress M Lopes, T Lang, M Toussaint, PY Oudeyer Advances in neural information processing systems 25, 206-214, 2012	134	2012
Probabilistic inference as a model of planned behavior. M Toussaint KI 23 (3), 23-29, 2009	128	2009
On classes of functions for which no free lunch results hold C Igel, M Toussaint arXiv preprint cs/0108011, 2001	125	2001
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. M Toussaint IJCAI, 1930-1936, 2015	121	2015
Multi-class image segmentation using conditional random fields and global classification N Plath, M Toussaint, S Nakajima Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	113	2009
Differentiable physics and stable modes for tool-use and manipulation planning MA Toussaint, KR Allen, KA Smith, JB Tenenbaum Robotics: Science and Systems Foundation, 2018	105	2018
Hierarchical POMDP Controller Optimization by Likelihood Maximization. M Toussaint, L Charlin, P Poupart UAI 24, 562-570, 2008	100	2008
Probabilistic inference for solving (PO) MDPs M Toussaint, S Harmeling, A Storkey Technical Report EDI-INF-RR-0934, School of Informatics, University of Edinburgh, 2006	94	2006
Planning with noisy probabilistic relational rules T Lang, M Toussaint Journal of Artificial Intelligence Research 39, 1-49, 2010	88	2010
Learning model-free robot control by a Monte Carlo EM algorithm N Vlassis, M Toussaint, G Kontes, S Piperidis Autonomous Robots 27 (2), 123-130, 2009	88	2009
Active Learning for Teaching a Robot Grounded Relational Symbols. J Kulick, M Toussaint, T Lang, M Lopes IJCAI, 1451-1457, 2013	76	2013
Fast motion planning from experience: trajectory prediction for speeding up movement generation N Jetchev, M Toussaint Autonomous Robots 34 (1-2), 111-127, 2013	68	2013
A sensorimotor map: Modulating lateral interactions for anticipation and planning M Toussaint Neural computation 18 (5), 1132-1155, 2006	67	2006

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