Marc Toussaint

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Citations	11569	7150
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Danny DriessTU BerlinVerified email at ipvs.uni-stuttgart.de
Ozgur S. OguzBilkent UniversityVerified email at cs.bilkent.edu.tr
Andreas OrtheyRealtime RoboticsVerified email at rtr.ai
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
Jung-Su HaLearning & Intelligent Systems, TU Berlin, Max Planck Institute for Intelligent SystemsVerified email at tu-berlin.de
Manuel LopesInstituto Superior Tecnico, INESC-IDVerified email at tecnico.ulisboa.pt
Jim MainpriceRobert Bosch GmbH Corporate ResearchVerified email at bosch.com
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Nikolay JetchevSenior Research Scientist at ZalandoVerified email at zalando.de
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
Valentin N. HartmannETH ZürichVerified email at ethz.ch
Joaquim Ortiz-HaroTU Berlin, IMPRS-ISVerified email at tu-berlin.de
Philipp KratzerRobert Bosch GmbHVerified email at bosch.com
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKVerified email at ed.ac.uk
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
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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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	1200	2023
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	532	2006
Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009	451	2009
Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012	388	2012
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar	365	2013
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. M Toussaint IJCAI, 1930-1936, 2015	352	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	326	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	299	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	249	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	219	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	207	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	170	2005
Probabilistic inference as a model of planned behavior. M Toussaint Künstliche Intell. 23 (3), 23-29, 2009	150	2009
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	142	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	135	2017
On classes of functions for which no free lunch results hold C Igel, M Toussaint arXiv preprint cs/0108011, 2001	134	2001
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	129	2015
Deep visual reasoning: Learning to predict action sequences for task and motion planning from an initial scene image D Driess, JS Ha, M Toussaint arXiv preprint arXiv:2006.05398, 2020	112	2020
Hierarchical POMDP Controller Optimization by Likelihood Maximization. M Toussaint, L Charlin, P Poupart UAI 24, 562-570, 2008	112	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	112	2006

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