Search Machine Learning Repository:
All publications by Marc Toussaint
authors venues years



Model-Based Relational RL When Object Existence is Partially Observable
Vien Ngo and Marc Toussaint
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
Manuel Lopes, Tobias Lang, Marc Toussaint and Pierre-yves Oudeyer
Advances in Neural Information Processing Systems 25, 2012


Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein and Marc Toussaint
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Task Space Retrieval Using Inverse Feedback Control
Nikolay Jetchev and Marc Toussaint
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Tobias Lang and Marc Toussaint
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad Rawlik, Marc Toussaint and Sethu Vijayakumar
Advances in Neural Information Processing Systems 23, 2010


Model-free reinforcement learning as mixture learning
Marc Toussaint and Nikos A. Vlassis
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Robot trajectory optimization using approximate inference
Marc Toussaint
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Multi-class image segmentation using conditional random fields and global classification
Nils Plath, Marc Toussaint and Shinichi Nakajima
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Approximate inference for planning in stochastic relational worlds
Tobias Lang and Marc Toussaint
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Trajectory prediction: learning to map situations to robot trajectories
Nikolay Jetchev and Marc Toussaint
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Modelling motion primitives and their timing in biologically executed movements
Ben Williams, Marc Toussaint and Amos J. Storkey
Advances in Neural Information Processing Systems 20, 2007


Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Marc Toussaint and Amos J. Storkey
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning discontinuities with products-of-sigmoids for switching between local models
Marc Toussaint and Sethu Vijayakumar
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
Marc Toussaint
Advances in Neural Information Processing Systems 16, 2003