Artikler med mandater om offentlig tilgang - Marc ToussaintLes mer
Tilgjengelige et eller annet sted: 96
Robot trajectory optimization using approximate inference
M Toussaint
Proceedings of the 26th annual international conference on machine learning …, 2009
Mandater: German Research Foundation
Planning as inference
M Botvinick, M Toussaint
Trends in cognitive sciences 16 (10), 485-488, 2012
Mandater: German Research Foundation
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
M Toussaint
IJCAI, 1930-1936, 2015
Mandater: European Commission
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
Mandater: German Research Foundation
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
Mandater: German Research Foundation
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
Mandater: German Research Foundation
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
Mandater: German Research Foundation
Probabilistic inference as a model of planned behavior.
M Toussaint
Künstliche Intell. 23 (3), 23-29, 2009
Mandater: German Research Foundation
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: German Research Foundation
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
Mandater: German Research Foundation
Active Learning for Teaching a Robot Grounded Relational Symbols.
J Kulick, M Toussaint, T Lang, M Lopes
IJCAI, 1451-1457, 2013
Mandater: German Research Foundation
Fast motion planning from experience: trajectory prediction for speeding up movement generation
N Jetchev, M Toussaint
Autonomous Robots 34, 111-127, 2013
Mandater: German Research Foundation
Planning with noisy probabilistic relational rules
T Lang, M Toussaint
Journal of Artificial Intelligence Research 39, 1-49, 2010
Mandater: German Research Foundation
Long-horizon multi-robot rearrangement planning for construction assembly
VN Hartmann, A Orthey, D Driess, OS Oguz, M Toussaint
IEEE Transactions on Robotics 39 (1), 239-252, 2022
Mandater: German Research Foundation
Scalable multiagent planning using probabilistic inference
A Kumar, S Zilberstein, M Toussaint
AAAI Press, 2011
Mandater: German Research Foundation
Exploration in relational domains for model-based reinforcement learning
T Lang, M Toussaint, K Kersting
The Journal of Machine Learning Research 13 (1), 3725-3768, 2012
Mandater: German Research Foundation, Fraunhofer-Gesellschaft
Modelling motion primitives and their timing in biologically executed movements
B Williams, M Toussaint, AJ Storkey
Advances in neural information processing systems 20, 2007
Mandater: German Research Foundation
Learning multi-object dynamics with compositional neural radiance fields
D Driess, Z Huang, Y Li, R Tedrake, M Toussaint
Conference on robot learning, 1755-1768, 2023
Mandater: German Research Foundation
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference
M Toussaint, N Plath, T Lang, N Jetchev
2010 IEEE International Conference on Robotics and Automation, 385-391, 2010
Mandater: German Research Foundation
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