Marc Toussaint
Marc Toussaint
Professor of Computer Science, TU Berlin, Germany
Verified email at - Homepage
Cited by
Cited by
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
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
Robot trajectory optimization using approximate inference
M Toussaint
Proceedings of the 26th annual international conference on machine learning …, 2009
Planning as inference
M Botvinick, M Toussaint
Trends in cognitive sciences 16 (10), 485-488, 2012
On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
M Toussaint
IJCAI, 1930-1936, 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
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
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
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
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
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
Probabilistic inference as a model of planned behavior.
M Toussaint
Künstliche Intell. 23 (3), 23-29, 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
On classes of functions for which no free lunch results hold
C Igel, M Toussaint
arXiv preprint cs/0108011, 2001
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
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
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
M Toussaint, L Charlin, P Poupart
UAI 24, 562-570, 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
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
The system can't perform the operation now. Try again later.
Articles 1–20