Marc Toussaint

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Citations	9790	5953
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i10-index	168	123

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Danny DriessTU BerlinVerified email at ipvs.uni-stuttgart.de
Andreas OrtheyRealtime RoboticsVerified email at rtr.ai
Ozgur S. OguzBilkent UniversityVerified email at cs.bilkent.edu.tr
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
Manuel LopesInstituto Superior Tecnico, INESC-IDVerified email at tecnico.ulisboa.pt
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Jung-Su HaLearning & Intelligent Systems, TU Berlin, Max Planck Institute for Intelligent SystemsVerified email at tu-berlin.de
Nikolay JetchevSenior Research Scientist at ZalandoVerified email at zalando.de
Jim MainpriceMercedes-Benz AG R&D - Automated DrivingVerified email at mercedes-benz.com
Peter EnglertRealtime RoboticsVerified email at rtr.ai
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
Philipp KratzerRobert Bosch GmbHVerified email at bosch.com
Ngo Anh VienBosch Center for Artificial Intelligence (BCAI)Verified email at bosch.com
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Valentin N. HartmannUniversity of StuttgartVerified email at ipvs.uni-stuttgart.de
Joaquim Ortiz-HaroTU Berlin, IMPRS-ISVerified email at tu-berlin.de
Johannes KulickSystems Engineer at Amazon Robotics, BerlinVerified email at amazon.com
Konrad RawlikChancellor's Fellow, Baillie-Gifford Pandemic Science Hub, Center for Inflammation ResearchVerified email at ed.ac.uk

Marc Toussaint

Professor of Computer Science, TU Berlin, Germany

Verified email at tu-berlin.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	516	2006
Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009	417	2009
Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023	393	2023
Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012	342	2012
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar Proceedings of Robotics: Science and Systems VIII, 2012	329	2012
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. M Toussaint IJCAI, 1930-1936, 2015	293	2015
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	285	2018
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	278	2006
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, 2012	227	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	196	2009
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	187	2011
A no-free-lunch theorem for non-uniform distributions of target functions C Igel, M Toussaint Journal of Mathematical Modelling and Algorithms 3, 313-322, 2005	168	2005
Probabilistic inference as a model of planned behavior. M Toussaint Künstliche Intell. 23 (3), 23-29, 2009	143	2009
Physics-based grasp planning through clutter MR Dogar, K Hsiao, M Ciocarlie, S Srinivasa Robot.: Sci. Syst. VIII, 57, 2012	142	2012
On classes of functions for which no free lunch results hold C Igel, M Toussaint arXiv preprint cs/0108011, 2001	129	2001
Probabilistic recurrent state-space models A Doerr, C Daniel, M Schiegg, NT Duy, S Schaal, M Toussaint, ... International conference on machine learning, 1280-1289, 2018	122	2018
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations P Englert, NA Vien, M Toussaint The International Journal of Robotics Research 36 (13-14), 1474-1488, 2017	113	2017
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	111	2006
Hierarchical POMDP controller optimization by likelihood maximization M Toussaint, L Charlin, P Poupart arXiv preprint arXiv:1206.3291, 2012	110	2012
Safe exploration for active learning with Gaussian processes J Schreiter, D Nguyen-Tuong, M Eberts, B Bischoff, H Markert, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015	101	2015

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