Marc Toussaint - Google Scholar

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Citations	5278	3057
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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
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Peter EnglertUniversity of Southern CaliforniaVerified email at usc.edu
Ngo Anh VienLecturer (i.e. Assistant Professor), Queen's University BelfastVerified email at qub.ac.uk
Stefan SchaalComputer Scientist in Robotics and AIVerified email at google.com
Johannes KulickApplied Scientist at Amazon BerlinVerified email at amazon.com
Danny DriessUniversity of StuttgartVerified email at ipvs.uni-stuttgart.de
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghVerified email at sms.ed.ac.uk
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementVerified email at smu.edu.sg
Nathan RatliffResearch Scientist, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Thibaut MunzerInriaVerified email at inria.fr
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Andreas DoerrResearch Scientist, Bosch Center for Artificial Intelligence, Max Planck Institut ISVerified email at tuebingen.mpg.de
Nikos VlassisSr Data Scientist, NetflixVerified email at netflix.com

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	433	2006
Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009	234	2009
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	181	2006
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	179	2013
Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012	153	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	146	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	130	2011
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	122	2001
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, 206-214, 2012	112	2012
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	107	2009
Logic-geometric programming: An optimization-based approach to combined task and motion planning M Toussaint Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	95	2015
Hierarchical POMDP Controller Optimization by Likelihood Maximization. M Toussaint, L Charlin, P Poupart UAI 24, 562-570, 2008	92	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	92	2006
Planning with noisy probabilistic relational rules T Lang, M Toussaint Journal of Artificial Intelligence Research 39, 1-49, 2010	87	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	79	2009
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. M Toussaint, KR Allen, KA Smith, JB Tenenbaum Robotics: Science and Systems 2, 2018	75	2018
Active learning for teaching a robot grounded relational symbols J Kulick, M Toussaint, T Lang, M Lopes Twenty-Third International Joint Conference on Artificial Intelligence, 2013	70	2013
A sensorimotor map: Modulating lateral interactions for anticipation and planning M Toussaint Neural computation 18 (5), 1132-1155, 2006	67	2006
Scalable multiagent planning using probabilistic inference A Kumar, S Zilberstein, M Toussaint Twenty-Second International Joint Conference on Artificial Intelligence, 2011	63	2011

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