Marc Toussaint

313 papers A* 58A 40B 11C 6Misc 7Journal 146Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constrained Sampling to Guide Universal Manipulation RL.
CoRR
Marc Toussaint, Cornelius V. Braun, Eckart Cobo-Briesewitz, Sayantan Auddy, Armand Jordana, Justin Carpentier
2026 J jnl
Stability-Guided Exploration for Diverse Motion Generation.
CoRR
Eckart Cobo-Briesewitz, Tilman Burghoff, Denis Shcherba, Armand Jordana, Marc Toussaint
2026 J jnl
Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation.
CoRR
Fabian Schramm, Franki Nguimatsia Tiofack, Nicolas Perrin-Gilbert, Marc Toussaint, Justin Carpentier
2025 J jnl
Amortized Safe Active Learning for Real-Time Decision-Making: Pretrained Neural Policies from Simulated Nonparametric Functions.
CoRR
Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2025 J jnl
CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads.
CoRR
Viktor Lorentz, Khaled Wahba, Sayantan Auddy, Marc Toussaint, Wolfgang Hönig
2025 J jnl
Global Safe Sequential Learning via Efficient Knowledge Transfer.
Trans. Mach. Learn. Res.
Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2025 J jnl
MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments.
CoRR
Cankut Bora Tuncer, Marc Toussaint, Ozgur S. Oguz
2025 — conf
Masked Registration and Autoencoding of CT Images for Predictive Tibia Reconstruction.
DGM4MICCAI@MICCAI
Hongyou Zhou, Cederic Aßmann, Alaa Bejaoui, Heiko Tzschätzsch, Mark Heyland, Julian Zierke, Niklas Tuttle, Sebastian Hölzl, Timo Auer, David A. Back, Marc Toussaint
2025 J jnl
Masked Registration and Autoencoding of CT Images for Predictive Tibia Reconstruction.
CoRR
Hongyou Zhou, Cederic Aßmann, Alaa Bejaoui, Heiko Tzschätzsch, Mark Heyland, Julian Zierke, Niklas Tuttle, Sebastian Hölzl, Timo Auer, David A. Back, Marc Toussaint
2025 J jnl
Meta-Optimization and Program Search using Language Models for Task and Motion Planning.
CoRR
Denis Shcherba, Eckart Cobo-Briesewitz, Cornelius V. Braun, Marc Toussaint
2025 A conf
Regrasp Maps for Sequential Manipulation Planning.
IROS
Svetlana Levit, Marc Toussaint
2025 J jnl
Regrasp Maps for Sequential Manipulation Planning.
CoRR
Svetlana Levit, Marc Toussaint
2025 J jnl
SVN-ICP: Uncertainty Estimation of ICP-Based LiDAR Odometry Using Stein Variational Newton.
IEEE Robotics Autom. Lett.
Shiping Ma, Haoming Zhang, Marc Toussaint
2025 J jnl
SVN-ICP: Uncertainty Estimation of ICP-based LiDAR Odometry using Stein Variational Newton.
CoRR
Shiping Ma, Haoming Zhang, Marc Toussaint
2025 A conf
Stein Variational Evolution Strategies.
UAI
Cornelius V. Braun, Robert Tjarko Lange, Marc Toussaint
2025 J jnl
Trajectory First: A Curriculum for Discovering Diverse Policies.
CoRR
Cornelius V. Braun, Sayantan Auddy, Marc Toussaint
2025 J jnl
iDb-A*: Iterative Search and Optimization for Optimal Kinodynamic Motion Planning.
IEEE Trans. Robotics
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint
2024 — conf
Amortized Active Learning for Nonparametric Functions.
IAL@PKDD/ECML
Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024 J jnl
Amortized Active Learning for Nonparametric Functions.
CoRR
Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024 A conf
Camera-Based Belief Space Planning in Discrete Partially-Observable Domains.
IROS
Janis Eric Freund, Camille Phiquepal, Andreas Orthey, Marc Toussaint
2024 A* conf
Effort Level Search in Infinite Completion Trees with Application to Task-and-Motion Planning.
ICRA
Marc Toussaint, Joaquim Ortiz de Haro, Valentin N. Hartmann, Erez Karpas, Wolfgang Hönig
2024 A conf
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System.
IROS
Christian Henkel, Marc Toussaint, Wolfgang Hönig
2024 J jnl
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System.
CoRR
Christian Henkel, Marc Toussaint, Wolfgang Hönig
2024 J jnl
Global Safe Sequential Learning via Efficient Knowledge Transfer.
CoRR
Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024 A conf
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments.
IROS
Khaled Wahba, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig
2024 J jnl
Multilevel motion planning: A fiber bundle formulation.
Int. J. Robotics Res.
Andreas Orthey, Sohaib Akbar, Marc Toussaint
2024 J jnl
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling.
CoRR
Marc Toussaint, Cornelius V. Braun, Joaquim Ortiz de Haro
2024 A* conf
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems.
ICRA
Svetlana Levit, Joaquim Ortiz de Haro, Marc Toussaint
2024 J jnl
Solving Sequential Manipulation Puzzles by Finding Easier Subproblems.
CoRR
Svetlana Levit, Joaquim Ortiz de Haro, Marc Toussaint
2024 J jnl
Stein Variational Evolution Strategies.
CoRR
Cornelius V. Braun, Robert T. Lange, Marc Toussaint
2024 A* conf
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning.
ICRA
Akmaral Moldagalieva, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig
2024 A conf
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization.
IROS
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti
2024 J jnl
iDb-RRT: Sampling-based Kinodynamic Motion Planning with Motion Primitives and Trajectory Optimization.
CoRR
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint, Ludovic Righetti
2023 J jnl
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains.
CoRR
Janis Eric Freund, Camille Phiquepal, Andreas Orthey, Marc Toussaint
2023 J jnl
Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning.
CoRR
Welf Rehberg, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig
2023 Misc ed.
Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA.
CoRL
Jie Tan, Marc Toussaint, Kourosh Darvish
2023 J jnl
Control-Tree Optimization: an approach to MPC under discrete Partial Observability.
CoRR
Camille Phiquepal, Marc Toussaint
2023 A conf
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort.
IROS
Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint
2023 J jnl
Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort.
CoRR
Valentin N. Hartmann, Joaquim Ortiz de Haro, Marc Toussaint
2023 J jnl
Kinodynamic Motion Planning for a Team of Multirotors Transporting a Cable-Suspended Payload in Cluttered Environments.
CoRR
Khaled Wahba, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig
2023 A* conf
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
ICRA
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
2023 J jnl
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly.
IEEE Trans. Robotics
Valentin N. Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint
2023 J jnl
Neural Field Representations of Articulated Objects for Robotic Manipulation Planning.
CoRR
Phillip Grote, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz
2023 A* conf
PaLM-E: An Embodied Multimodal Language Model.
ICML
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023 J jnl
PaLM-E: An Embodied Multimodal Language Model.
CoRR
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023 J jnl
Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces.
IEEE Robotics Autom. Lett.
Servet B. Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint, Lydia E. Kavraki
2023 A conf
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation.
IROS
Hongyou Zhou, Ingmar Schubert, Marc Toussaint, Ozgur S. Oguz
2023 J jnl
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation.
CoRR
Hongyou Zhou, Ingmar Fabian Schubert, Marc Toussaint, Ozgur S. Oguz
2023 J jnl
Stabilizing deep Q-learning with Q-graph-based bounds.
Int. J. Robotics Res.
Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint
2023 J jnl
Towards computing low-makespan solutions for multi-arm multi-task planning problems.
CoRR
Valentin N. Hartmann, Marc Toussaint
2023 J jnl
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning.
CoRR
Akmaral Moldagalieva, Joaquim Ortiz de Haro, Marc Toussaint, Wolfgang Hönig
2023 J jnl
iDb-A*: Iterative Search and Optimization for Optimal Kinodynamic Motion Planning.
CoRR
Joaquim Ortiz de Haro, Wolfgang Hönig, Valentin N. Hartmann, Marc Toussaint
2022 J jnl
A Conflict-Driven Interface Between Symbolic Planning and Nonlinear Constraint Solving.
IEEE Robotics Autom. Lett.
Joaquim Ortiz de Haro, Erez Karpas, Michael Katz, Marc Toussaint
2022 J jnl
A Conflict-driven Interface between Symbolic Planning and Nonlinear Constraint Solving.
CoRR
Joaquim Ortiz de Haro, Erez Karpas, Michael Katz, Marc Toussaint
2022 A conf
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning.
IROS
Jay Kamat, Joaquim Ortiz de Haro, Marc Toussaint, Florian T. Pokorny, Andreas Orthey
2022 J jnl
BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning.
CoRR
Jay Kamat, Joaquim Ortiz de Haro, Marc Toussaint, Florian T. Pokorny, Andreas Orthey
2022 A* conf
Conflict-Directed Diverse Planning for Logic-Geometric Programming.
ICAPS
Joaquim Ortiz de Haro, Erez Karpas, Marc Toussaint, Michael Katz
2022 J jnl
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input.
IEEE Robotics Autom. Lett.
Jung-Su Ha, Danny Driess, Marc Toussaint
2022 C conf
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort.
ISRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 J jnl
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort.
CoRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 A conf
FC
IROS
Jason Harris, Danny Driess, Marc Toussaint
2022 J jnl
FC
CoRR
Jason Harris, Danny Driess, Marc Toussaint
2022 J jnl
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
CoRR
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
2022 Misc conf
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.
CoRL
Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
2022 J jnl
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.
CoRR
Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint
2022 J jnl
Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks.
IEEE Robotics Autom. Lett.
Nicolas Kubail Kalousdian, Grzegorz Lochnicki, Valentin N. Hartmann, Samuel Leder, Ozgur S. Oguz, Achim Menges, Marc Toussaint
2022 J jnl
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets.
IEEE Robotics Autom. Lett.
Constantinos Chamzas, Carlos Quintero-Peña, Zachary Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki
2022 J jnl
Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs.
IEEE Robotics Autom. Lett.
Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint
2022 J jnl
Path-Tree Optimization in Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs.
CoRR
Camille Phiquepal, Andreas Orthey, Nicolas Viennot, Marc Toussaint
2022 J jnl
Planning Coordinated Human-Robot Motions with Neural Network Full-Body Prediction Models.
CoRR
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2022 A conf
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning.
IROS
Cornelius V. Braun, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz
2022 A* conf
Reinforcement Learning with Neural Radiance Fields.
NeurIPS
Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint
2022 J jnl
Reinforcement Learning with Neural Radiance Fields.
CoRR
Danny Driess, Ingmar Schubert, Peter R. Florence, Yunzhu Li, Marc Toussaint
2022 A* conf
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time.
ICRA
Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint
2022 J jnl
ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time.
CoRR
Francesco Grothe, Valentin N. Hartmann, Andreas Orthey, Marc Toussaint
2022 A conf
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
IROS
Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig
2022 J jnl
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
CoRR
Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig
2022 J jnl
Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces.
CoRR
S. Bora Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint, Lydia E. Kavraki
2022 J jnl
Visual analytics for nonlinear programming in robot motion planning.
J. Vis.
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf
2022 A conf
db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning.
IROS
Wolfgang Hönig, Joaquim Ortiz de Haro, Marc Toussaint
2022 J jnl
db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning.
CoRR
Wolfgang Hönig, Joaquim Ortiz de Haro, Marc Toussaint
2021 B conf
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures.
RO-MAN
Yoojin Oh, Tim Schäfer, Benedikt Rüther, Marc Toussaint, Jim Mainprice
2021 J jnl
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures.
CoRR
Yoojin Oh, Marc Toussaint, Jim Mainprice
2021 — conf
Active Learning in Gaussian Process State Space Model.
ECML/PKDD (3)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021 J jnl
Active Learning in Gaussian Process State Space Model.
CoRR
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021 J jnl
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning.
CoRR
Andreas Orthey, Florian T. Pokorny, Marc Toussaint
2021 A* conf
Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning.
ICRA
Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz
2021 A* conf
Control-Tree Optimization: an approach to MPC under discrete Partial Observability.
ICRA
Camille Phiquepal, Marc Toussaint
2021 A* conf
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping.
ICRA
Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint
2021 J jnl
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping.
CoRR
Marc Tuscher, Julian Hörz, Danny Driess, Marc Toussaint
2021 — conf
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts.
CASE
Marie-Therese Khoury, Andreas Orthey, Marc Toussaint
2021 J jnl
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
2021 B conf
GraspME - Grasp Manifold Estimator.
RO-MAN
Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice
2021 J jnl
GraspME - Grasp Manifold Estimator.
CoRR
Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice
2021 B conf
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks.
RO-MAN
An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice
2021 J jnl
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks.
CoRR
An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice
2021 A* conf
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation.
ICRA
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint
2021 A* conf
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input.
ICRA
Danny Driess, Jung-Su Ha, Russ Tedrake, Marc Toussaint
2021 Misc conf
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.
CoRL
Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake
2021 J jnl
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.
CoRR
Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake
2021 J jnl
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation.
CoRR
Jung-Su Ha, Danny Driess, Marc Toussaint
2021 A conf
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies.
IROS
Yoojin Oh, Marc Toussaint, Jim Mainprice
2021 J jnl
Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies.
CoRR
Yoojin Oh, Marc Toussaint, Jim Mainprice
2021 A* conf
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics.
NeurIPS
Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint
2021 J jnl
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics.
CoRR
Ingmar Schubert, Danny Driess, Ozgur S. Oguz, Marc Toussaint
2021 J jnl
Learning to solve sequential physical reasoning problems from a scene image.
Int. J. Robotics Res.
Danny Driess, Jung-Su Ha, Marc Toussaint
2021 J jnl
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly.
CoRR
Valentin Noah Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint
2021 J jnl
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze.
IEEE Robotics Autom. Lett.
Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice
2021 J jnl
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets.
CoRR
Constantinos Chamzas, Carlos Quintero-Peña, Zachary Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki
2021 A* conf
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks.
ICLR
Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint
2021 J jnl
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks.
CoRR
Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint
2021 J jnl
RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning.
CoRR
Cornelius V. Braun, Joaquim Ortiz de Haro, Marc Toussaint, Ozgur S. Oguz
2021 — ed.
Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021.
Robotics: Science and Systems
Dylan A. Shell, Marc Toussaint, M. Ani Hsieh
2021 J jnl
Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning.
IEEE Trans. Robotics
Andreas Orthey, Marc Toussaint
2021 A* conf
Sparse Multilevel Roadmaps for High-Dimensional Robotic Motion Planning.
ICRA
Andreas Orthey, Marc Toussaint
2021 Misc conf
Structured deep generative models for sampling on constraint manifolds in sequential manipulation.
CoRL
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint
2021 J jnl
Visualization of Nonlinear Programming for Robot Motion Planning.
CoRR
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf
2021 C conf
Visualizing Local Minima in Multi-robot Motion Planning Using Multilevel Morse Theory.
WAFR
Andreas Orthey, Marc Toussaint
2020 A* conf
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
ICRA
Jung-Su Ha, Danny Driess, Marc Toussaint
2020 B conf
An Interior Point Method Solving Motion Planning Problems with Narrow Passages.
RO-MAN
Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2020 J jnl
An Interior Point Method Solving Motion Planning Problems with Narrow Passages.
CoRR
Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2020 B conf
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks.
RO-MAN
Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice
2020 J jnl
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks.
CoRR
Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint, Jim Mainprice
2020 A* conf
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning.
ICRA
Danny Driess, Ozgur S. Oguz, Jung-Su Ha, Marc Toussaint
2020 — conf
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
Robotics: Science and Systems
Danny Driess, Jung-Su Ha, Marc Toussaint
2020 J jnl
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
CoRR
Danny Drieß, Jung-Su Ha, Marc Toussaint
2020 J jnl
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning.
IEEE Robotics Autom. Lett.
Marc Toussaint, Jung-Su Ha, Danny Driess
2020 J jnl
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning.
CoRR
Marc Toussaint, Jung-Su Ha, Danny Drieß
2020 J jnl
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts.
CoRR
Marie-Therese Khoury, Andreas Orthey, Marc Toussaint
2020 J jnl
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation.
CoRR
Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint
2020 J jnl
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze.
CoRR
Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice
2020 J jnl
Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree.
IEEE Robotics Autom. Lett.
Andreas Orthey, Benjamin Frész, Marc Toussaint
2020 J jnl
Multilevel Motion Planning: A Fiber Bundle Formulation.
CoRR
Andreas Orthey, Sohaib Akbar, Marc Toussaint
2020 B conf
Natural Gradient Shared Control.
RO-MAN
Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice
2020 J jnl
Natural Gradient Shared Control.
CoRR
Yoojin Oh, Shao-Wen Wu, Marc Toussaint, Jim Mainprice
2020 J jnl
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics.
Frontiers Comput. Neurosci.
Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt
2020 J jnl
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent.
CoRR
Christian Henkel, Marc Toussaint
2020 Misc conf
Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent.
SAC
Christian Henkel, Marc Toussaint
2020 A* conf
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks.
ICRA
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2020 J jnl
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
CoRR
Jung-Su Ha, Danny Drieß, Marc Toussaint
2020 J jnl
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning.
CoRR
Sabrina Hoppe, Marc Toussaint
2020 — ed.
Robotics: Science and Systems XVI, Virtual Event / Corvalis, Oregon, USA, July 12-16, 2020.
Robotics: Science and Systems
Marc Toussaint, Antonio Bicchi, Tucker Hermans
2020 A conf
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning.
IROS
Valentin N. Hartmann, Ozgur S. Oguz, Danny Driess, Marc Toussaint, Achim Menges
2020 J jnl
Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning.
CoRR
Valentin N. Hartmann, Ozgur S. Oguz, Danny Drieß, Marc Toussaint, Achim Menges
2020 A conf
Sample-Efficient Learning for Industrial Assembly using Qgraph-bounded DDPG.
IROS
Sabrina Hoppe, Markus Giftthaler, Robert Krug, Marc Toussaint
2020 J jnl
Section Patterns: Efficiently Solving Narrow Passage Problems using Multilevel Motion Planning.
CoRR
Andreas Orthey, Marc Toussaint
2020 Misc conf
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning.
CoRL
Son Nguyen, Ozgur S. Oguz, Valentin N. Hartmann, Marc Toussaint
2020 J jnl
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning.
CoRR
Andreas Orthey, Marc Toussaint
2020 C conf
Visualization of nonlinear programming for robot motion planning.
VINCI
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf
2020 J jnl
Visualizing Local Minima in Multi-Robot Motion Planning using Morse Theory.
CoRR
Andreas Orthey, Marc Toussaint
2019 A conf
Active Inverse Model Learning with Error and Reachable Set Estimates.
IROS
Danny Drieß, Syn Schmitt, Marc Toussaint
2019 A* conf
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy.
ICRA
Danny Drieß, Daniel Hennes, Marc Toussaint
2019 A conf
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem.
IROS
Christian Henkel, Jannik Abbenseth, Marc Toussaint
2019 J jnl
An Optimal Algorithm to Solve the Combined Task Allocation and Path Finding Problem.
CoRR
Christian Henkel, Jannik Abbenseth, Marc Toussaint
2019 A* conf
Combined Task and Motion Planning under Partial Observability: An Optimization-Based Approach.
ICRA
Camille Phiquepal, Marc Toussaint
2019 — conf
Deep Workpiece Region Segmentation for Bin Picking.
CASE
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
2019 J jnl
Deep Workpiece Region Segmentation for Bin Picking.
CoRR
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
2019 A* conf
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract.
IJCAI
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2019 J jnl
Learning Arbitration for Shared Autonomy by Hindsight Data Aggregation.
CoRR
Yoojin Oh, Marc Toussaint, Jim Mainprice
2019 J jnl
Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree.
CoRR
Andreas Orthey, Benjamin Frész, Marc Toussaint
2019 J jnl
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization.
CoRR
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2019 J jnl
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation.
IEEE Robotics Autom. Lett.
Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint
2019 J jnl
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks.
CoRR
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2019 C conf
Rapidly-Exploring Quotient-Space Trees: Motion Planning Using Sequential Simplifications.
ISRR
Andreas Orthey, Marc Toussaint
2019 J jnl
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications.
CoRR
Andreas Orthey, Marc Toussaint
2019 A* conf
Trajectory-Based Off-Policy Deep Reinforcement Learning.
ICML
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
2019 J jnl
Trajectory-Based Off-Policy Deep Reinforcement Learning.
CoRR
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
2018 A* conf
Bayesian Functional Optimization.
AAAI
Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint
2018 — conf
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
Robotics: Science and Systems
Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2018 J jnl
Efficient behavior learning in human-robot collaboration.
Auton. Robots
Thibaut Munzer, Marc Toussaint, Manuel Lopes
2018 A conf
Kinematic Morphing Networks for Manipulation Skill Transfer.
IROS
Peter Englert, Marc Toussaint
2018 J jnl
Kinematic Morphing Networks for Manipulation Skill Transfer.
CoRR
Peter Englert, Marc Toussaint
2018 J jnl
Learning manipulation skills from a single demonstration.
Int. J. Robotics Res.
Peter Englert, Marc Toussaint
2018 A* conf
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
ICRA
Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt
2018 A* conf
Planning Ergonomic Sequences of Actions in Human-Robot Interaction.
ICRA
Baptiste Busch, Marc Toussaint, Manuel Lopes
2018 J jnl
Preferred Interaction Styles for Human-Robot Collaboration Vary Over Tasks With Different Action Types.
Frontiers Neurorobotics
Ruth Schulz, Philipp Kratzer, Marc Toussaint
2018 A* conf
Probabilistic Recurrent State-Space Models.
ICML
Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2018 — conf
Towards Combining Motion Optimization and Data Driven Dynamical Models for Human Motion Prediction.
Humanoids
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2017 — ch.
A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference.
Geometric and Numerical Foundations of Movements
Marc Toussaint
2017 A conf
Active learning with query paths for tactile object shape exploration.
IROS
Danny Drieß, Peter Englert, Marc Toussaint
2017 B conf
Building a Bridge with a Robot: A System for Collaborative On-table Task Execution.
HAI
Ruth Schulz, Philipp Kratzer, Marc Toussaint
2017 A* conf
Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations.
ICRA
Danny Drieß, Peter Englert, Marc Toussaint
2017 — conf
Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks.
CASE
Christian Friedrich, Viktor Zielke, Marc Toussaint, Armin Lechler, Alexander Verl
2017 — conf
Feature Discovery for Sequential Prediction of Monophonic Music.
ISMIR
Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier
2017 J jnl
Identification of Unmodeled Objects from Symbolic Descriptions.
CoRR
Andrea Baisero, Stefan Otte, Peter Englert, Marc Toussaint
2017 J jnl
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations.
Int. J. Robotics Res.
Peter Englert, Ngo Anh Vien, Marc Toussaint
2017 A* conf
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains.
ICRA
Marc Toussaint, Manuel Lopes
2017 — conf
Opening a lockbox through physical exploration.
Humanoids
Manuel Baum, Matthew Bernstein, Roberto Martín-Martín, Sebastian Höfer, Johannes Kulick, Marc Toussaint, Alex Kacelnik, Oliver Brock
2017 Misc conf
Optimizing Long-term Predictions for Model-based Policy Search.
CoRL
Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
2017 B conf
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.
CogSci
Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum
2017 J jnl
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.
CoRR
Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum
2017 A* conf
Preference learning on the execution of collaborative human-robot tasks.
ICRA
Thibaut Munzer, Marc Toussaint, Manuel Lopes
2016 J jnl
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down.
CoRR
Kim Peter Wabersich, Marc Toussaint
2016 — conf
Combined Optimization and Reinforcement Learning for Manipulation Skills.
Robotics: Science and Systems
Peter Englert, Marc Toussaint
2016 J jnl
Efficient sparsification for Gaussian process regression.
Neurocomputing
Jens Schreiter, Duy Nguyen-Tuong, Marc Toussaint
2016 — ch.
Mobility and Manipulation.
Springer Handbook of Robotics, 2nd Ed.
Oliver Brock, Jaeheung Park, Marc Toussaint
2016 J jnl
On the Fundamental Importance of Gauss-Newton in Motion Optimization.
CoRR
Nathan D. Ratliff, Marc Toussaint, Jeannette Bohg, Stefan Schaal
2016 A* conf
Policy Search in Reproducing Kernel Hilbert Space.
IJCAI
Ngo Anh Vien, Peter Englert, Marc Toussaint
2016 A* conf
Relational activity processes for modeling concurrent cooperation.
ICRA
Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes
2016 J jnl
Temporally extended features in model-based reinforcement learning with partial observability.
Neurocomputing
Robert Lieck, Marc Toussaint
2015 A* conf
Active exploration of joint dependency structures.
ICRA
Johannes Kulick, Stefan Otte, Marc Toussaint
2015 — conf
An Approximate Inference Approach to Temporal Optimization for Robotics.
ISRR (2)
Konrad Rawlik, Dmitry Zarubin, Marc Toussaint, Sethu Vijayakumar
2015 A conf
Automatic testing and minimax optimization of system parameters for best worst-case performance.
IROS
Kim Peter Wabersich, Marc Toussaint
2015 — conf
Direct Loss Minimization Inverse Optimal Control.
Robotics: Science and Systems
Andreas Doerr, Nathan D. Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal
2015 B conf
Discovering temporally extended features for reinforcement learning in domains with delayed causalities.
ESANN
Robert Lieck, Marc Toussaint
2015 B conf
Fast greedy insertion and deletion in sparse Gaussian process regression.
ESANN
Jens Schreiter, Duy Nguyen-Tuong, Heiner Markert, Michael Hanselmann, Marc Toussaint
2015 A* conf
Hierarchical Monte-Carlo Planning.
AAAI
Ngo Anh Vien, Marc Toussaint
2015 — conf
Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations.
ISRR (2)
Peter Englert, Marc Toussaint
2015 A* conf
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning.
IJCAI
Marc Toussaint
2015 A conf
POMDP manipulation via trajectory optimization.
IROS
Ngo Anh Vien, Marc Toussaint
2015 J jnl
Probabilistic Inference Techniques for Scalable Multiagent Decision Making.
J. Artif. Intell. Res.
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2015 A conf
Robot programming from demonstration, feedback and transfer.
IROS
Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes
2015 — conf
Safe Exploration for Active Learning with Gaussian Processes.
ECML/PKDD (3)
Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint
2015 A* conf
Sparse Gaussian process regression for compliant, real-time robot control.
ICRA
Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, Marc Toussaint
2015 J jnl
Special Issue on Autonomous Learning.
Künstliche Intell.
Barbara Hammer, Marc Toussaint
2015 A conf
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations.
IROS
Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle
2015 J jnl
The Optimization Route to Robotics - and Alternatives.
Künstliche Intell.
Marc Toussaint, Helge J. Ritter, Oliver Brock
2015 — conf
Touch based POMDP manipulation via sequential submodular optimization.
Humanoids
Ngo Anh Vien, Marc Toussaint
2015 A* conf
Understanding the geometry of workspace obstacles in Motion Optimization.
ICRA
Nathan D. Ratliff, Marc Toussaint, Stefan Schaal
2014 J jnl
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection.
CoRR
Johannes Kulick, Robert Lieck, Marc Toussaint
2014 J jnl
Discovering relevant task spaces using inverse feedback control.
Auton. Robots
Nikolay Jetchev, Marc Toussaint
2014 A conf
Dual execution of optimized contact interaction trajectories.
IROS
Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal
2014 A conf
Entropy-based strategies for physical exploration of the environment's degrees of freedom.
IROS
Stefan Otte, Johannes Kulick, Marc Toussaint, Oliver Brock
2014 A* conf
Model-Based Relational RL When Object Existence is Partially Observable.
ICML
Ngo Anh Vien, Marc Toussaint
2014 J jnl
Newton methods for k-order Markov Constrained Motion Problems.
CoRR
Marc Toussaint
2014 J jnl
Planning with Noisy Probabilistic Relational Rules.
CoRR
Tobias Lang, Marc Toussaint
2014 A conf
Reactive phase and task space adaptation for robust motion execution.
IROS
Peter Englert, Marc Toussaint
2014 — ch.
The Bayesian Search Game.
Theory and Principled Methods for the Design of Metaheuristics
Marc Toussaint
2013 A* conf
Active Learning for Teaching a Robot Grounded Relational Symbols.
IJCAI
Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes
2013 A conf
Caging complex objects with geodesic balls.
IROS
Dmitry Zarubin, Florian T. Pokorny, Marc Toussaint, Danica Kragic
2013 J jnl
Fast motion planning from experience: trajectory prediction for speeding up movement generation.
Auton. Robots
Nikolay Jetchev, Marc Toussaint
2013 J jnl
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen.
Autom.
Marc Toussaint, Tobias Lang, Nikolay Jetchev
2013 A* conf
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract).
IJCAI
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2013 A* conf
Optimizing motion primitives to make symbolic models more predictive.
ICRA
Andreas Orthey, Marc Toussaint, Nikolay Jetchev
2013 A* conf
Path Integral Control by Reproducing Kernel Hilbert Space Embedding.
IJCAI
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2013 — conf
Reasoning with Uncertainties Over Existence of Objects.
AAAI Fall Symposia
Ngo Anh Vien, Marc Toussaint
2013 J jnl
Topology-based representations for motion planning and generalization in dynamic environments with interactions.
Int. J. Robotics Res.
Vladimir Ivan, Dmitry Zarubin, Marc Toussaint, Taku Komura, Sethu Vijayakumar
2013 A* conf
Uncertainty aware grasping and tactile exploration.
ICRA
Stanimir Dragiev, Marc Toussaint, Michael Gienger
2012 — conf
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress.
NIPS
Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
2012 J jnl
Exploration in relational domains for model-based reinforcement learning.
J. Mach. Learn. Res.
Tobias Lang, Marc Toussaint, Kristian Kersting
2012 — conf
HUX - Measuring Holistic User Experience.
UP
Claude Toussaint, Marc Toussaint, Stefan Ulrich
2012 — conf
Hierarchical Motion Planning in Topological Representations.
Robotics: Science and Systems
Dmitry Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura, Sethu Vijayakumar
2012 J jnl
Hierarchical POMDP Controller Optimization by Likelihood Maximization
CoRR
Marc Toussaint, Laurent Charlin, Pascal Poupart
2012 J jnl
Learned graphical models for probabilistic planning provide a new class of movement primitives.
Frontiers Comput. Neurosci.
Elmar A. Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass
2012 A conf
Message-Passing Algorithms for MAP Estimation Using DC Programming.
AISTATS
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2012 — conf
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference.
Robotics: Science and Systems
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2012 J jnl
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
CoRR
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2012 — ed.
STAIRS 2012 - Proceedings of the Sixth Starting AI Researchers' Symposium, Montpellier, France, 27-28 August 2012
STAIRS
Kristian Kersting, Marc Toussaint
2011 — conf
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains.
ECML/PKDD (2)
Pascal Poupart, Tobias Lang, Marc Toussaint
2011 A conf
Escaping local optima in POMDP planning as inference.
AAMAS
Pascal Poupart, Tobias Lang, Marc Toussaint
2011 A* conf
Gaussian process implicit surfaces for shape estimation and grasping.
ICRA
Stanimir Dragiev, Marc Toussaint, Michael Gienger
2011 A* conf
Scalable Multiagent Planning Using Probabilistic Inference.
IJCAI
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2011 A* conf
Task Space Retrieval Using Inverse Feedback Control.
ICML
Nikolay Jetchev, Marc Toussaint
2010 — conf
10302 Abstracts Collection - Learning paradigms in dynamic environments.
Learning paradigms in dynamic environments
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010 — conf
10302 Summary - Learning paradigms in dynamic environments.
Learning paradigms in dynamic environments
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010 — ch.
A Bayesian View on Motor Control and Planning.
From Motor Learning to Interaction Learning in Robots
Marc Toussaint, Christian Goerick
2010 — conf
An Approximate Inference Approach to Temporal Optimization in Optimal Control.
NIPS
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2010 J jnl
Approximate Inference and Stochastic Optimal Control
CoRR
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
2010 — conf
Exploration in Relational Worlds.
ECML/PKDD (2)
Tobias Lang, Marc Toussaint, Kristian Kersting
2010 A* conf
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference.
ICRA
Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev
2010 — ed.
Learning paradigms in dynamic environments, 25.07. - 30.07.2010
Learning paradigms in dynamic environments
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
2010 J jnl
Planning with Noisy Probabilistic Relational Rules.
J. Artif. Intell. Res.
Tobias Lang, Marc Toussaint
2010 A* conf
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds.
ICML
Tobias Lang, Marc Toussaint
2010 A* conf
Trajectory prediction in cluttered voxel environments.
ICRA
Nikolay Jetchev, Marc Toussaint
2010 — conf
Why deterministic logic is hard to learn but Statistical Relational Learning works.
Learning paradigms in dynamic environments
Marc Toussaint
2009 A* conf
Approximate inference for planning in stochastic relational worlds.
ICML
Tobias Lang, Marc Toussaint
2009 J jnl
Learning model-free robot control by a Monte Carlo EM algorithm.
Auton. Robots
Nikos Vlassis, Marc Toussaint, Georgios D. Kontes, Savas Piperidis
2009 A* conf
Model-free reinforcement learning as mixture learning.
ICML
Nikos Vlassis, Marc Toussaint
2009 A* conf
Multi-class image segmentation using conditional random fields and global classification.
ICML
Nils Plath, Marc Toussaint, Shinichi Nakajima
2009 — ch.
Planning and Moving in Dynamic Environments.
Creating Brain-Like Intelligence
Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard
2009 J jnl
Probabilistic inference as a model of planned behavior.
Künstliche Intell.
Marc Toussaint
2009 — conf
Relevance Grounding for Planning in Relational Domains.
ECML/PKDD (1)
Tobias Lang, Marc Toussaint
2009 A* conf
Robot trajectory optimization using approximate inference.
ICML
Marc Toussaint
2009 A* conf
Trajectory prediction: learning to map situations to robot trajectories.
ICML
Nikolay Jetchev, Marc Toussaint
2008 A conf
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
UAI
Marc Toussaint, Laurent Charlin, Pascal Poupart
2008 — conf
Optimization of fluent approach and grasp motions.
Humanoids
Michael Gienger, Marc Toussaint, Nikolay Jetchev, Achim Bendig, Christian Goerick
2008 C conf
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint.
ICMLA
Volker Willert, Julian Eggert, Marc Toussaint, Edgar Körner
2008 A conf
Task maps in humanoid robot manipulation.
IROS
Michael Gienger, Marc Toussaint, Christian Goerick
2007 A* conf
A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data.
IJCAI
Ben H. Williams, Marc Toussaint, Amos J. Storkey
2007 J jnl
Complex adaptation and system structure.
Biosyst.
Marc Toussaint, Werner von Seelen
2007 A ed.
Foundations of Genetic Algorithms, 9th International Workshop, FOGA 2007, Mexico City, Mexico, January 8-11, 2007, Revised Selected Papers
FOGA
Christopher R. Stephens, Marc Toussaint, L. Darrell Whitley, Peter F. Stadler
2007 — conf
Modelling motion primitives and their timing in biologically executed movements.
NIPS
Ben H. Williams, Marc Toussaint, Amos J. Storkey
2007 A conf
Motion Segmentation Using Inference in Dynamic Bayesian Networks.
BMVC
Marc Toussaint
2007 — conf
Optimization of sequential attractor-based movement for compact behaviour generation.
Humanoids
Marc Toussaint, Michael Gienger, Christian Goerick
2007 A conf
Probabilistic inference for structured planning in robotics.
IROS
Marc Toussaint, Christian Goerick
2007 C conf
Uncertainty optimization for robust dynamic optical flow estimation.
ICMLA
Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner
2006 J jnl
A Sensorimotor Map: Modulating Lateral Interactions for Anticipation and Planning.
Neural Comput.
Marc Toussaint
2006 J jnl
Compact representations as a search strategy: Compression EDAs.
Theor. Comput. Sci.
Marc Toussaint
2006 — conf
Extracting Motion Primitives from Natural Handwriting Data.
ICANN (2)
Ben H. Williams, Marc Toussaint, Amos J. Storkey
2006 — conf
Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts.
ICANN (1)
Georgios Petkos, Marc Toussaint, Sethu Vijayakumar
2006 A* conf
Probabilistic inference for solving discrete and continuous state Markov Decision Processes.
ICML
Marc Toussaint, Amos J. Storkey
2006 A conf
Using Machine Learning to Focus Iterative Optimization.
CGO
Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams
2005 A conf
Compact Genetic Codes as a Search Strategy of Evolutionary Processes.
FOGA
Marc Toussaint
2005 — conf
Factorial representations to generate arbitrary search distributions.
GECCO Workshops
Marc Toussaint
2005 A* conf
Learning discontinuities for switching between local models.
IJCAI
Marc Toussaint, Sethu Vijayakumar
2005 A* conf
Learning discontinuities with products-of-sigmoids for switching between local models.
ICML
Marc Toussaint, Sethu Vijayakumar
2004 J jnl
A No-Free-Lunch theorem for non-uniform distributions of target functions.
J. Math. Model. Algorithms
Christian Igel, Marc Toussaint
2004 J jnl
Notes on information geometry and evolutionary processes
CoRR
Marc Toussaint
2003 A conf
Demonstrating the Evolution of Complex Genetic Representations: An Evolution of Artificial Plants.
GECCO
Marc Toussaint
2003 — conf
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System.
NIPS
Marc Toussaint
2003 J jnl
Neutrality and self-adaptation.
Nat. Comput.
Christian Igel, Marc Toussaint
2003 J jnl
On classes of functions for which No Free Lunch results hold.
Inf. Process. Lett.
Christian Igel, Marc Toussaint
2003 J jnl
Recent Results on No-Free-Lunch Theorems for Optimization
CoRR
Christian Igel, Marc Toussaint
2003 A conf
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms.
GECCO
Marc Toussaint
2002 J jnl
A neural model for multi-expert architectures
CoRR
Marc Toussaint
2002 J jnl
Neutrality: A Necessity for Self-Adaptation
CoRR
Marc Toussaint, Christian Igel
2002 B conf
Neutrality: a necessity for self-adaptation.
IEEE Congress on Evolutionary Computation
Marc Toussaint, Christian Igel
2002 J jnl
On model selection and the disability of neural networks to decompose tasks
CoRR
Marc Toussaint
2002 A conf
On the Evolution of Phenotypic Exploration Distributions.
FOGA
Marc Toussaint
2002 J jnl
The structure of evolutionary exploration: On crossover, buildings blocks and Estimation-Of-Distribution Algorithms
CoRR
Marc Toussaint
2001 J jnl
Lectures on Reduce and Maple at UAM I - Mexico
CoRR
Marc Toussaint
2001 J jnl
On Classes of Functions for which No Free Lunch Results Hold
CoRR
Christian Igel, Marc Toussaint
2001 J jnl
Self-adaptive exploration in evolutionary search
CoRR
Marc Toussaint