Marc Toussaint

According to our database1, Marc Toussaint authored at least 146 papers between 2001 and 2019.

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2019
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation.
IEEE Robotics and Automation Letters, 2019

Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks.
CoRR, 2019

Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree.
CoRR, 2019

An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem.
CoRR, 2019

Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation.
CoRR, 2019

Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization.
CoRR, 2019

Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications.
CoRR, 2019

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach.
Proceedings of the International Conference on Robotics and Automation, 2019

Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy.
Proceedings of the International Conference on Robotics and Automation, 2019

Trajectory-Based Off-Policy Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Workpiece Region Segmentation for Bin Picking.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Learning manipulation skills from a single demonstration.
I. J. Robotics Res., 2018

Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types.
Front. Neurorobot., 2018

Efficient behavior learning in human-robot collaboration.
Auton. Robots, 2018

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
Proceedings of the Robotics: Science and Systems XIV, 2018

Kinematic Morphing Networks for Manipulation Skill Transfer.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Planning Ergonomic Sequences of Actions in Human-Robot Interaction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Probabilistic Recurrent State-Space Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Bayesian Functional Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations.
I. J. Robotics Res., 2017

Identification of Unmodeled Objects from Symbolic Descriptions.
CoRR, 2017

Feature Discovery for Sequential Prediction of Monophonic Music.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Active learning with query paths for tactile object shape exploration.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multi-bound tree search for logic-geometric programming in cooperative manipulation domains.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Preference learning on the execution of collaborative human-robot tasks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Opening a lockbox through physical exploration.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Building a Bridge with a Robot: A System for Collaborative On-table Task Execution.
Proceedings of the 5th International Conference on Human Agent Interaction, 2017

Optimizing Long-term Predictions for Model-based Policy Search.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Mobility and Manipulation.
Proceedings of the Springer Handbook of Robotics, 2016

Efficient sparsification for Gaussian process regression.
Neurocomputing, 2016

Temporally extended features in model-based reinforcement learning with partial observability.
Neurocomputing, 2016

Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down.
CoRR, 2016

On the Fundamental Importance of Gauss-Newton in Motion Optimization.
CoRR, 2016

Combined Optimization and Reinforcement Learning for Manipulation Skills.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Policy Search in Reproducing Kernel Hilbert Space.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Relational activity processes for modeling concurrent cooperation.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
The Optimization Route to Robotics - and Alternatives.
KI, 2015

Special Issue on Autonomous Learning.
KI, 2015

Probabilistic Inference Techniques for Scalable Multiagent Decision Making.
J. Artif. Intell. Res., 2015

Direct Loss Minimization Inverse Optimal Control.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Safe Exploration for Active Learning with Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

An Approximate Inference Approach to Temporal Optimization for Robotics.
Proceedings of the Robotics Research, 2015

Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations.
Proceedings of the Robotics Research, 2015

Automatic testing and minimax optimization of system parameters for best worst-case performance.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

POMDP manipulation via trajectory optimization.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robot programming from demonstration, feedback and transfer.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Sparse Gaussian process regression for compliant, real-time robot control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Understanding the geometry of workspace obstacles in Motion Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Active exploration of joint dependency structures.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Touch based POMDP manipulation via sequential submodular optimization.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Fast greedy insertion and deletion in sparse Gaussian process regression.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Discovering temporally extended features for reinforcement learning in domains with delayed causalities.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Hierarchical Monte-Carlo Planning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
The Bayesian Search Game.
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014

Newton methods for k-order Markov Constrained Motion Problems.
CoRR, 2014

Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection.
CoRR, 2014

Discovering relevant task spaces using inverse feedback control.
Auton. Robots, 2014

Dual execution of optimized contact interaction trajectories.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Entropy-based strategies for physical exploration of the environment's degrees of freedom.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Reactive phase and task space adaptation for robust motion execution.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Model-Based Relational RL When Object Existence is Partially Observable.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Topology-based representations for motion planning and generalization in dynamic environments with interactions.
I. J. Robotics Res., 2013

Learned graphical models for probabilistic planning provide a new class of movement primitives.
Front. Comput. Neurosci., 2013

Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen.
Automatisierungstechnik, 2013

Fast motion planning from experience: trajectory prediction for speeding up movement generation.
Auton. Robots, 2013

Caging complex objects with geodesic balls.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract).
Proceedings of the IJCAI 2013, 2013

Path Integral Control by Reproducing Kernel Hilbert Space Embedding.
Proceedings of the IJCAI 2013, 2013

Active Learning for Teaching a Robot Grounded Relational Symbols.
Proceedings of the IJCAI 2013, 2013

Optimizing motion primitives to make symbolic models more predictive.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Uncertainty aware grasping and tactile exploration.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Reasoning with Uncertainties Over Existence of Objects.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
Exploration in relational domains for model-based reinforcement learning.
J. Mach. Learn. Res., 2012

Message-Passing Algorithms for MAP Estimation Using DC Programming.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Hierarchical Motion Planning in Topological Representations.
Proceedings of the Robotics: Science and Systems VIII, 2012

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference.
Proceedings of the Robotics: Science and Systems VIII, 2012

Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

HUX - Measuring Holistic User Experience.
Proceedings of the Usability Professionals 2012, 2012

2011
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Scalable Multiagent Planning Using Probabilistic Inference.
Proceedings of the IJCAI 2011, 2011

Gaussian process implicit surfaces for shape estimation and grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Task Space Retrieval Using Inverse Feedback Control.
Proceedings of the 28th International Conference on Machine Learning, 2011

Escaping local optima in POMDP planning as inference.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
A Bayesian View on Motor Control and Planning.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Planning with Noisy Probabilistic Relational Rules.
J. Artif. Intell. Res., 2010

Approximate Inference and Stochastic Optimal Control
CoRR, 2010

Exploration in Relational Worlds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

An Approximate Inference Approach to Temporal Optimization in Optimal Control.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Trajectory prediction in cluttered voxel environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

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

Why deterministic logic is hard to learn but Statistical Relational Learning works.
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010

10302 Summary - Learning paradigms in dynamic environments.
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010

10302 Abstracts Collection - Learning paradigms in dynamic environments.
Proceedings of the Learning paradigms in dynamic environments, 25.07. - 30.07.2010, 2010

2009
Planning and Moving in Dynamic Environments.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Probabilistic inference as a model of planned behavior.
KI, 2009

Learning model-free robot control by a Monte Carlo EM algorithm.
Auton. Robots, 2009

Relevance Grounding for Planning in Relational Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Model-free reinforcement learning as mixture learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Robot trajectory optimization using approximate inference.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Multi-class image segmentation using conditional random fields and global classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Approximate inference for planning in stochastic relational worlds.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Trajectory prediction: learning to map situations to robot trajectories.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
Proceedings of the UAI 2008, 2008

Task maps in humanoid robot manipulation.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Optimization of fluent approach and grasp motions.
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

2007
Complex adaptation and system structure.
Biosystems, 2007

Modelling motion primitives and their timing in biologically executed movements.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Probabilistic inference for structured planning in robotics.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data.
Proceedings of the IJCAI 2007, 2007

Uncertainty optimization for robust dynamic optical flow estimation.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Optimization of sequential attractor-based movement for compact behaviour generation.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

Motion Segmentation Using Inference in Dynamic Bayesian Networks.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Compact representations as a search strategy: Compression EDAs.
Theor. Comput. Sci., 2006

A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning.
Neural Computation, 2006

Probabilistic inference for solving discrete and continuous state Markov Decision Processes.
Proceedings of the Machine Learning, 2006

Extracting Motion Primitives from Natural Handwriting Data.
Proceedings of the Artificial Neural Networks, 2006

Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts.
Proceedings of the Artificial Neural Networks, 2006

Using Machine Learning to Focus Iterative Optimization.
Proceedings of the Fourth IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2006), 2006

2005
Learning discontinuities for switching between local models.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning discontinuities with products-of-sigmoids for switching between local models.
Proceedings of the Machine Learning, 2005

Factorial representations to generate arbitrary search distributions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Compact Genetic Codes as a Search Strategy of Evolutionary Processes.
Proceedings of the Foundations of Genetic Algorithms, 8th International Workshop, 2005

2004
A No-Free-Lunch theorem for non-uniform distributions of target functions.
J. Math. Model. Algorithms, 2004

Notes on information geometry and evolutionary processes
CoRR, 2004

2003
Neutrality and self-adaptation.
Natural Computing, 2003

On classes of functions for which No Free Lunch results hold.
Inf. Process. Lett., 2003

Recent Results on No-Free-Lunch Theorems for Optimization
CoRR, 2003

Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2003

Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants.
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
Neutrality: A Necessity for Self-Adaptation
CoRR, 2002

A neural model for multi-expert architectures
CoRR, 2002

On model selection and the disability of neural networks to decompose tasks
CoRR, 2002

On the Evolution of Phenotypic Exploration Distributions.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

2001
Self-adaptive exploration in evolutionary search
CoRR, 2001

Lectures on Reduce and Maple at UAM I - Mexico
CoRR, 2001


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