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ORCIDMarc Toussaint
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- affiliation: TU Berlin, Germany
- affiliation (former): University of Edinburgh, UK
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2020 – today
- 2021
[j29]Philipp Kratzer
, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. IEEE Robotics Autom. Lett. 6(1): 367-373 (2021)- [i50]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of Nonlinear Programming for Robot Motion Planning. CoRR abs/2101.12075 (2021) - [i49]Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint:
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping. CoRR abs/2103.05401 (2021) - [i48]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. CoRR abs/2104.08137 (2021) - 2020
- [j28]Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt:
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers Comput. Neurosci. 14: 38 (2020) - [j27]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree. IEEE Robotics Autom. Lett. 5(2): 346-353 (2020) - [j26]Marc Toussaint, Jung-Su Ha, Danny Driess:
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning. IEEE Robotics Autom. Lett. 5(4): 6209-6216 (2020) - [c107]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. ICRA 2020: 1792-1798 - [c106]Jung-Su Ha, Danny Driess, Marc Toussaint:
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. ICRA 2020: 6745-6751 - [c105]Danny Driess, Ozgur Oguz, Jung-Su Ha, Marc Toussaint:
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. ICRA 2020: 9563-9569 - [c104]Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. IROS 2020: 6886-6893 - [c103]Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint:
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG. IROS 2020: 9080-9087 - [c102]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. RO-MAN 2020: 547-552 - [c101]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. RO-MAN 2020: 1157-1163 - [c100]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. RO-MAN 2020: 1223-1229 - [c99]Christian Henkel, Marc Toussaint:
Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent. SAC 2020: 776-783 - [c98]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of nonlinear programming for robot motion planning. VINCI 2020: 10:1-10:8 - [i47]Andreas Orthey, Marc Toussaint:
Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory. CoRR abs/2002.04385 (2020) - [i46]Marc Toussaint, Jung-Su Ha, Danny Drieß:
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning. CoRR abs/2002.12780 (2020) - [i45]Jung-Su Ha, Danny Drieß, Marc Toussaint:
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. CoRR abs/2003.04259 (2020) - [i44]Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges:
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning. CoRR abs/2003.07754 (2020) - [i43]Christian Henkel, Marc Toussaint:
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent. CoRR abs/2003.12924 (2020) - [i42]Danny Drieß, Jung-Su Ha, Marc Toussaint:
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image. CoRR abs/2006.05398 (2020) - [i41]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. CoRR abs/2007.04842 (2020) - [i40]Sabrina Hoppe, Marc Toussaint:
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning. CoRR abs/2007.07582 (2020) - [i39]Andreas Orthey, Sohaib Akbar, Marc Toussaint:
Multilevel Motion Planning: A Fiber Bundle Formulation. CoRR abs/2007.09435 (2020) - [i38]Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice:
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks. CoRR abs/2007.10038 (2020) - [i37]Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice:
Natural Gradient Shared Control. CoRR abs/2007.15308 (2020) - [i36]Andreas Orthey, Marc Toussaint:
Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning. CoRR abs/2010.14524 (2020) - [i35]Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning. CoRR abs/2011.00832 (2020) - [i34]Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. CoRR abs/2011.01552 (2020) - [i33]Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. CoRR abs/2011.04828 (2020) - [i32]Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. CoRR abs/2011.11552 (2020)
2010 – 2019
- 2019
- [j25]Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint:
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 4(4): 4042-4047 (2019) - [c97]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CASE 2019: 1138-1144 - [c96]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML 2019: 1636-1645 - [c95]Danny Drieß, Daniel Hennes, Marc Toussaint:
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA 2019: 7844-7850 - [c94]Camille Phiquepal, Marc Toussaint:
Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach. ICRA 2019: 9000-9006 - [c93]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI 2019: 6231-6235 - [c92]Danny Drieß, Syn Schmitt, Marc Toussaint:
Active Inverse Model Learning with Error and Reachable Set Estimates. IROS 2019: 1826-1833 - [c91]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. IROS 2019: 4140-4146 - [i31]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR abs/1905.05710 (2019) - [i30]Andreas Orthey, Marc Toussaint:
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications. CoRR abs/1906.01350 (2019) - [i29]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization. CoRR abs/1906.12279 (2019) - [i28]Yoojin Oh, Marc Toussaint, Jim Mainprice:
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation. CoRR abs/1906.12280 (2019) - [i27]Christian Henkel, Jannik Abbenseth, Marc Toussaint:
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem. CoRR abs/1907.10360 (2019) - [i26]Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint:
Deep Workpiece Region Segmentation for Bin Picking. CoRR abs/1909.03462 (2019) - [i25]Andreas Orthey, Benjamin Frész, Marc Toussaint:
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree. CoRR abs/1909.05035 (2019) - [i24]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. CoRR abs/1910.01843 (2019) - 2018
- [j24]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Efficient behavior learning in human-robot collaboration. Auton. Robots 42(5): 1103-1115 (2018) - [j23]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types. Frontiers Neurorobotics 12: 36 (2018) - [j22]Peter Englert, Marc Toussaint:
Learning manipulation skills from a single demonstration. Int. J. Robotics Res. 37(1): 137-154 (2018) - [c90]Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint:
Bayesian Functional Optimization. AAAI 2018: 4171-4178 - [c89]Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction. Humanoids 2018: 202-208 - [c88]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - [c87]Baptiste Busch, Marc Toussaint, Manuel Lopes:
Planning Ergonomic Sequences of Actions in Human-Robot Interaction. ICRA 2018: 1916-1923 - [c86]Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt:
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA 2018: 6461-6468 - [c85]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. IROS 2018: 2517-2523 - [c84]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems 2018 - [i23]Peter Englert, Marc Toussaint:
Kinematic Morphing Networks for Manipulation Skill Transfer. CoRR abs/1803.01777 (2018) - 2017
- [j21]Peter Englert, Ngo Anh Vien, Marc Toussaint:
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. 36(13-14): 1474-1488 (2017) - [c83]Christian Friedrich, Viktor Zielke, Marc Toussaint, Armin Lechler, Alexander Verl:
Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks. CASE 2017: 1445-1450 - [c82]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CogSci 2017 - [c81]Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. CoRL 2017: 227-238 - [c80]Ruth Schulz, Philipp Kratzer, Marc Toussaint:
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution. HAI 2017: 399-403 - [c79]Manuel Baum, Matthew Bernstein, Roberto Martín-Martín, Sebastian Höfer, Johannes Kulick, Marc Toussaint, Alex Kacelnik, Oliver Brock:
Opening a lockbox through physical exploration. Humanoids 2017: 461-467 - [c78]Thibaut Munzer, Marc Toussaint, Manuel Lopes:
Preference learning on the execution of collaborative human-robot tasks. ICRA 2017: 879-885 - [c77]Danny Drieß, Peter Englert, Marc Toussaint:
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. ICRA 2017: 902-907 - [c76]Marc Toussaint, Manuel Lopes:
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains. ICRA 2017: 4044-4051 - [c75]Danny Drieß, Peter Englert, Marc Toussaint:
Active learning with query paths for tactile object shape exploration. IROS 2017: 65-72 - [c74]Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier:
Feature Discovery for Sequential Prediction of Monophonic Music. ISMIR 2017: 649-656 - [i22]Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint:
Identification of Unmodeled Objects from Symbolic Descriptions. CoRR abs/1701.06450 (2017) - [i21]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CoRR abs/1707.08212 (2017) - 2016
- [j20]Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint:
Efficient sparsification for Gaussian process regression. Neurocomputing 192: 29-37 (2016) - [j19]Robert Lieck, Marc Toussaint:
Temporally extended features in model-based reinforcement learning with partial observability. Neurocomputing 192: 49-60 (2016) - [c73]Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes:
Relational activity processes for modeling concurrent cooperation. ICRA 2016: 5505-5511 - [c72]Ngo Anh Vien, Peter Englert, Marc Toussaint:
Policy Search in Reproducing Kernel Hilbert Space. IJCAI 2016: 2089-2096 - [c71]Peter Englert, Marc Toussaint:
Combined Optimization and Reinforcement Learning for Manipulation Skills. Robotics: Science and Systems 2016 - [p4]Oliver Brock, Jaeheung Park, Marc Toussaint:
Mobility and Manipulation. Springer Handbook of Robotics, 2nd Ed. 2016: 1007-1036 - [i20]Nathan D. Ratliff, Marc Toussaint, Jeannette Bohg, Stefan Schaal:
On the Fundamental Importance of Gauss-Newton in Motion Optimization. CoRR abs/1605.09296 (2016) - [i19]Kim Peter Wabersich, Marc Toussaint:
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down. CoRR abs/1612.03117 (2016) - 2015
- [j18]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Probabilistic Inference Techniques for Scalable Multiagent Decision Making. J. Artif. Intell. Res. 53: 223-270 (2015) - [j17]Barbara Hammer, Marc Toussaint:
Special Issue on Autonomous Learning. Künstliche Intell. 29(4): 323-327 (2015) - [j16]Marc Toussaint, Helge J. Ritter, Oliver Brock:
The Optimization Route to Robotics - and Alternatives. Künstliche Intell. 29(4): 379-388 (2015) - [c70]Ngo Anh Vien, Marc Toussaint:
Hierarchical Monte-Carlo Planning. AAAI 2015: 3613-3619 - [c69]Robert Lieck, Marc Toussaint:
Discovering temporally extended features for reinforcement learning in domains with delayed causalities. ESANN 2015 - [c68]Jens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint:
Fast greedy insertion and deletion in sparse Gaussian process regression. ESANN 2015 - [c67]Ngo Anh Vien, Marc Toussaint:
Touch based POMDP manipulation via sequential submodular optimization. Humanoids 2015: 407-413 - [c66]Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint:
Sparse Gaussian process regression for compliant, real-time robot control. ICRA 2015: 2586-2591 - [c65]Johannes Kulick, Stefan Otte, Marc Toussaint:
Active exploration of joint dependency structures. ICRA 2015: 2598-2604 - [c64]Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
Understanding the geometry of workspace obstacles in Motion Optimization. ICRA 2015: 4202-4209 - [c63]Marc Toussaint:
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning. IJCAI 2015: 1930-1936 - [c62]Ngo Anh Vien, Marc Toussaint:
POMDP manipulation via trajectory optimization. IROS 2015: 242-249 - [c61]Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle:
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations. IROS 2015: 478-484 - [c60]Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes:
Robot programming from demonstration, feedback and transfer. IROS 2015: 1825-1831 - [c59]Kim Peter Wabersich, Marc Toussaint:
Automatic testing and minimax optimization of system parameters for best worst-case performance. IROS 2015: 5533-5539 - [c58]Peter Englert, Marc Toussaint:
Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations. ISRR (2) 2015: 57-72 - [c57]Konrad Rawlik, Dmitry Zarubin, Marc Toussaint, Sethu Vijayakumar:
An Approximate Inference Approach to Temporal Optimization for Robotics. ISRR (2) 2015: 145-162 - [c56]Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint:
Safe Exploration for Active Learning with Gaussian Processes. ECML/PKDD (3) 2015: 133-149 - [c55]Andreas Doerr, Nathan D. Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal:
Direct Loss Minimization Inverse Optimal Control. Robotics: Science and Systems 2015 - 2014
- [j15]Nikolay Jetchev, Marc Toussaint:
Discovering relevant task spaces using inverse feedback control. Auton. Robots 37(2): 169-189 (2014) - [c54]Ngo Anh Vien, Marc Toussaint:
Model-Based Relational RL When Object Existence is Partially Observable. ICML 2014: 559-567 - [c53]Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal:
Dual execution of optimized contact interaction trajectories. IROS 2014: 47-54 - [c52]Peter Englert, Marc Toussaint:
Reactive phase and task space adaptation for robust motion execution. IROS 2014: 109-116 - [c51]Stefan Otte, Johannes Kulick, Marc Toussaint, Oliver Brock:
Entropy-based strategies for physical exploration of the environment's degrees of freedom. IROS 2014: 615-622 - [p3]Marc Toussaint:
The Bayesian Search Game. Theory and Principled Methods for the Design of Metaheuristics 2014: 129-144 - [i18]Tobias Lang, Marc Toussaint:
Planning with Noisy Probabilistic Relational Rules. CoRR abs/1401.3860 (2014) - [i17]Marc Toussaint:
Newton methods for k-order Markov Constrained Motion Problems. CoRR abs/1407.0414 (2014) - [i16]Johannes Kulick, Robert Lieck, Marc Toussaint:
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection. CoRR abs/1409.7552 (2014) - 2013
- [j14]Nikolay Jetchev, Marc Toussaint:
Fast motion planning from experience: trajectory prediction for speeding up movement generation. Auton. Robots 34(1-2): 111-127 (2013) - [j13]Marc Toussaint, Tobias Lang, Nikolay Jetchev:
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen. Autom. 61(4): 259-268 (2013) - [j12]Vladimir Ivan, Dmitry Zarubin, Marc Toussaint, Taku Komura, Sethu Vijayakumar:
Topology-based representations for motion planning and generalization in dynamic environments with interactions. Int. J. Robotics Res. 32(9-10): 1151-1163 (2013) - [c50]Ngo Anh Vien, Marc Toussaint:
Reasoning with Uncertainties Over Existence of Objects. AAAI Fall Symposia 2013 - [c49]Stanimir Dragiev, Marc Toussaint, Michael Gienger:
Uncertainty aware grasping and tactile exploration. ICRA 2013: 113-119 - [c48]Andreas Orthey, Marc Toussaint, Nikolay Jetchev:
Optimizing motion primitives to make symbolic models more predictive. ICRA 2013: 2868-2873 - [c47]Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes:
Active Learning for Teaching a Robot Grounded Relational Symbols. IJCAI 2013: 1451-1457 - [c46]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
Path Integral Control by Reproducing Kernel Hilbert Space Embedding. IJCAI 2013: 1628-1634 - [c45]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract). IJCAI 2013: 3052-3056 - [c44]Dmitry Zarubin, Florian T. Pokorny, Marc Toussaint, Danica Kragic:
Caging complex objects with geodesic balls. IROS 2013: 2999-3006 - 2012
- [j11]Elmar A. Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass:
Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers Comput. Neurosci. 6: 97 (2012) - [j10]Tobias Lang, Marc Toussaint, Kristian Kersting:
Exploration in relational domains for model-based reinforcement learning. J. Mach. Learn. Res. 13: 3725-3768 (2012) - [c43]Claude Toussaint, Marc Toussaint, Stefan Ulrich:
HUX - Measuring Holistic User Experience. Usability Professionals 2012: 90-94 - [c42]Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer:
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress. NIPS 2012: 206-214 - [c41]Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar:
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference. Robotics: Science and Systems 2012 - [c40]Dmitry Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura, Sethu Vijayakumar:
Hierarchical Motion Planning in Topological Representations. Robotics: Science and Systems 2012 - [c39]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Message-Passing Algorithms for MAP Estimation Using DC Programming. AISTATS 2012: 656-664 - [e3]Kristian Kersting, Marc Toussaint:
STAIRS 2012 - Proceedings of the Sixth Starting AI Researchers' Symposium, Montpellier, France, 27-28 August 2012. Frontiers in Artificial Intelligence and Applications 241, IOS Press 2012, ISBN 978-1-61499-095-6 [contents] - [i15]