Marc Toussaint
Marc Toussaint
Professor of Computer Science, TU Berlin, Germany
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
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
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
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
Planning as inference
M Botvinick, M Toussaint
Trends in cognitive sciences 16 (10), 485-488, 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
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
Probabilistic inference as a model of planned behavior.
M Toussaint
KI 23 (3), 23-29, 2009
On classes of functions for which no free lunch results hold
C Igel, M Toussaint
arXiv preprint cs/0108011, 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
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
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
M Toussaint
IJCAI, 1930-1936, 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
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
Planning with noisy probabilistic relational rules
T Lang, M Toussaint
Journal of Artificial Intelligence Research 39, 1-49, 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
Active Learning for Teaching a Robot Grounded Relational Symbols.
J Kulick, M Toussaint, T Lang, M Lopes
IJCAI, 1451-1457, 2013
A sensorimotor map: Modulating lateral interactions for anticipation and planning
M Toussaint
Neural computation 18 (5), 1132-1155, 2006
Fast motion planning from experience: trajectory prediction for speeding up movement generation
N Jetchev, M Toussaint
Autonomous Robots 34 (1-2), 111-127, 2013
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