Marc Toussaint

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Coauteurs

Christian IgelDepartment of Computer Science, University of CopenhagenAdresse e-mail validée de diku.dk
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKAdresse e-mail validée de ed.ac.uk
Nikolay JetchevSenior Research Scientist at ZalandoAdresse e-mail validée de zalando.de
Manuel LopesInstituto Superior Tecnico, INESC-IDAdresse e-mail validée de tecnico.ulisboa.pt
Michael GiengerHonda Research Institute EuropeAdresse e-mail validée de honda-ri.de
Peter EnglertUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Amos StorkeyProfessor of Machine Learning and AI, School of Informatics, University of Edinburgh, UKAdresse e-mail validée de ed.ac.uk
Danny DriessUniversity of StuttgartAdresse e-mail validée de ipvs.uni-stuttgart.de
Stefan SchaalComputer Scientist in Robotics and AIAdresse e-mail validée de google.com
Ngo Anh VienBosch Center for Artificial Intelligence (BCAI)Adresse e-mail validée de bosch.com
Johannes KulickApplied Scientist at Amazon BerlinAdresse e-mail validée de amazon.com
Duy Nguyen-TuongBosch Center for AI, GermanyAdresse e-mail validée de robot-learning.de
Konrad RawlikPostdoctoral Fellow, Roslin Institute, University of EdinburghAdresse e-mail validée de sms.ed.ac.uk
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Nathan RatliffResearch Scientist, Max Planck Institute for Intelligent SystemsAdresse e-mail validée de tuebingen.mpg.de
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementAdresse e-mail validée de smu.edu.sg
Thibaut MunzerInriaAdresse e-mail validée de inria.fr
Pascal PoupartUniversity of WaterlooAdresse e-mail validée de uwaterloo.ca
Andreas DoerrResearch Scientist, Bosch Center for Artificial Intelligence, Max Planck Institut ISAdresse e-mail validée de tuebingen.mpg.de
Jim MainpriceInterim Professor, Stuttgart UniversityAdresse e-mail validée de ipvs.uni-stuttgart.de

Marc Toussaint

Professor of Computer Science, TU Berlin, Germany

Adresse e-mail validée de informatik.uni-stuttgart.de - Page d'accueil

Robotics Robot Learning Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	448	2006
Robot trajectory optimization using approximate inference M Toussaint Proceedings of the 26th annual international conference on machine learning …, 2009	260	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	203	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	195	2006
Planning as inference M Botvinick, M Toussaint Trends in cognitive sciences 16 (10), 485-488, 2012	169	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	141	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, 206-214, 2012	130	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	111	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	111	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	99	2018
Hierarchical POMDP Controller Optimization by Likelihood Maximization. M Toussaint, L Charlin, P Poupart UAI 24, 562-570, 2008	98	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	93	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	87	2009
Active Learning for Teaching a Robot Grounded Relational Symbols. J Kulick, M Toussaint, T Lang, M Lopes IJCAI, 1451-1457, 2013	74	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	67	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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