Jan Peters 0001
307 publications
32 venues
h-Index 52
Google's h-Index 83
Affiliation
TU Darmstadt, Department of Computer Science, GermanyMax Planck Institute for Intelligent Systems, T bingen, Germany
Max Planck Institute for Biological Cybernetics, T bingen, Germany
University of Southern California Los Angeles, Computational Learning and Motion Control Lab, CA, USA
Links
DBLPGoogle Scholar
ORCID- http://jan-peters.net
- http://www.ias.informatik.tu-darmstadt.de/Member/JanPeters
- http://www.kyb.mpg.de/~jrpeters
- http://www-clmc.usc.edu/main/janpeters
- https://dl.acm.org/profile/81100524321
- https://zbmath.org/authors/?q=ai:peters.jan
- https://mathgenealogy.org/id.php?id=105977
- https://en.wikipedia.org/wiki/Jan_Peters_(computer_scientist)
- https://www.wikidata.org/entity/Q19286477
- https://www.researcherid.com/rid/D-5068-2009
- https://www.scopus.com/authid/detail.uri?authorId=35248912800
- https://id.loc.gov/authorities/names/no2013135062
- https://d-nb.info/gnd/139121943
- https://d-nb.info/gnd/1186719451
- https://ieeexplore.ieee.org/author/37533077600
- https://mathscinet.ams.org/mathscinet/MRAuthorID/893397
Additional Information
Achievements
2023 - Research.com Computer Science in Germany Leader AwardGoogle Citations
29932| Name | Venue | Year | citations |
|---|---|---|---|
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics.
|
TPAMI | 2024 | 0 |
| Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| Hierarchical Policy Blending as Inference for Reactive Robot Control.
|
ICRA | 2023 | 0 |
| Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.
|
ICRA | 2023 | 0 |
| Start State Selection for Control Policy Learning from Optimal Trajectories.
|
ICRA | 2023 | 0 |
| SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.
|
ICRA | 2023 | 0 |
| Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features.
|
Humanoids | 2023 | 0 |
| Model-Based Uncertainty in Value Functions.
|
AISTATS | 2023 | 0 |
| Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems.
|
ECAI | 2023 | 0 |
| Accelerating Motion Planning via Optimal Transport.
|
NIPS/NeurIPS | 2023 | 0 |
| Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning.
|
ICLR | 2023 | 0 |
| LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.
|
ICLR | 2023 | 0 |
| Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing.
|
IROS | 2023 | 0 |
| Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.
|
IROS | 2023 | 0 |
| Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning.
|
IEEE Robotics and Automation Letters | 2023 | 0 |
| PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison.
|
TPAMI | 2023 | 0 |
| Continuous-Time Fitted Value Iteration for Robust Policies.
|
TPAMI | 2023 | 0 |
| A Deterministic Approximation to Neural SDEs.
|
TPAMI | 2023 | 0 |
| Composable energy policies for reactive motion generation and reinforcement learning.
|
IJRR | 2023 | 0 |
| Combining physics and deep learning to learn continuous-time dynamics models.
|
IJRR | 2023 | 0 |
| Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots.
|
Robotics and Autonomous Systems | 2023 | 0 |
| MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.
|
Humanoids | 2022 | 0 |
| HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.
|
JAIR | 2022 | 34 |
| Active Exploration for Robotic Manipulation.
|
IROS | 2022 | 0 |
| Learning Implicit Priors for Motion Optimization.
|
IROS | 2022 | 7 |
| Curriculum Reinforcement Learning via Constrained Optimal Transport.
|
ICML | 2022 | 5 |
| Dimensionality Reduction and Prioritized Exploration for Policy Search.
|
AISTATS | 2022 | 1 |
| Boosted Curriculum Reinforcement Learning.
|
ICLR | 2022 | 2 |
| Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery.
|
IROS | 2022 | 0 |
| Monte-Carlo Robot Path Planning.
|
IEEE Robotics and Automation Letters | 2022 | 1 |
| Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling.
|
IROS | 2022 | 1 |
| Regularized Deep Signed Distance Fields for Reactive Motion Generation.
|
IROS | 2022 | 7 |
| Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking.
|
Humanoids | 2022 | 0 |
| PAC-Bayesian lifelong learning for multi-armed bandits.
|
DMKD | 2022 | 3 |
| Robot Learning of Mobile Manipulation With Reachability Behavior Priors.
|
IEEE Robotics and Automation Letters | 2022 | 4 |
| Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning.
|
Humanoids | 2022 | 0 |
| Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives.
|
Humanoids | 2022 | 0 |
| Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes.
|
CoRL | 2022 | 0 |
| Information-Theoretic Safe Exploration with Gaussian Processes.
|
NIPS/NeurIPS | 2022 | 0 |
| Learning Stable Vector Fields on Lie Groups.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.
|
IEEE Robotics and Automation Letters | 2022 | 0 |
| Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.
|
TPAMI | 2022 | 0 |
| Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient.
|
TPAMI | 2022 | 0 |
| Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning.
|
RSS | 2021 | 14 |
| Value Iteration in Continuous Actions, States and Time.
|
ICML | 2021 | 8 |
| Directed Acyclic Graph Neural Network for Human Motion Prediction.
|
ICRA | 2021 | 3 |
| Gaussian Approximation for Bias Reduction in Q-Learning.
|
JMLR | 2021 | 4 |
| SKID RAW: Skill Discovery From Raw Trajectories.
|
IEEE Robotics and Automation Letters | 2021 | 11 |
| Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.
|
CoRL | 2021 | 14 |
| Neural Posterior Domain Randomization.
|
CoRL | 2021 | 11 |
| A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.
|
JMLR | 2021 | 8 |
| Latent Derivative Bayesian Last Layer Networks.
|
AISTATS | 2021 | 5 |
| An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients.
|
IJCNN | 2021 | 5 |
| Efficient and Reactive Planning for High Speed Robot Air Hockey.
|
IROS | 2021 | 6 |
| Robot Reinforcement Learning on the Constraint Manifold.
|
CoRL | 2021 | 16 |
| Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning.
|
ICRA | 2021 | 22 |
| Convex optimization with an interpolation-based projection and its application to deep learning.
|
MLJ | 2021 | 0 |
| Robust Value Iteration for Continuous Control Tasks.
|
RSS | 2021 | 11 |
| Learning Human-like Hand Reaching for Human-Robot Handshaking.
|
ICRA | 2021 | 5 |
| Convex Regularization in Monte-Carlo Tree Search.
|
ICML | 2021 | 0 |
| A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning.
|
ICRA | 2021 | 0 |
| Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.
|
ICRA | 2021 | 0 |
| Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning.
|
ICRA | 2021 | 0 |
| Data-Efficient Domain Randomization With Bayesian Optimization.
|
IEEE Robotics and Automation Letters | 2021 | 0 |
| Assessing Transferability From Simulation to Reality for Reinforcement Learning.
|
TPAMI | 2021 | 0 |
| MushroomRL: Simplifying Reinforcement Learning Research.
|
JMLR | 2021 | 0 |
| A Probabilistic Framework for Imitating Human Race Driver Behavior.
|
IEEE Robotics and Automation Letters | 2020 | 6 |
| Learning attribute grammars for movement primitive sequencing.
|
IJRR | 2020 | 7 |
| Model-Based Quality-Diversity Search for Efficient Robot Learning.
|
IROS | 2020 | 15 |
| Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization.
|
IEEE Robotics and Automation Letters | 2020 | 8 |
| ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows.
|
IROS | 2020 | 24 |
| Self-Paced Deep Reinforcement Learning.
|
NIPS/NeurIPS | 2020 | 22 |
| Deep Adversarial Reinforcement Learning for Object Disentangling.
|
IROS | 2020 | 1 |
| Probabilistic Approach to Physical Object Disentangling.
|
IEEE Robotics and Automation Letters | 2020 | 3 |
| Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement.
|
Autonomous Agents and Multi-Agent Systems | 2020 | 9 |
| High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.
|
CoRL | 2020 | 12 |
| Redundancy resolution under hard joint constraints: a generalized approach to rank updates.
|
IROS | 2020 | 1 |
| Learning Hierarchical Acquisition Functions for Bayesian Optimization.
|
IROS | 2020 | 0 |
| Learning Control Policies from Optimal Trajectories.
|
ICRA | 2020 | 1 |
| Numerical Quadrature for Probabilistic Policy Search.
|
TPAMI | 2020 | 9 |
| Underactuated Waypoint Trajectory Optimization for Light Painting Photography.
|
ICRA | 2020 | 1 |
| Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives.
|
IEEE Robotics and Automation Letters | 2020 | 12 |
| A Nonparametric Off-Policy Policy Gradient.
|
AISTATS | 2020 | 11 |
| Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
|
ICLR | 2020 | 66 |
| Bayesian Online Prediction of Change Points.
|
UAI | 2020 | 0 |
| Generalized Mean Estimation in Monte-Carlo Tree Search.
|
IJCAI | 2020 | 0 |
| Real Time Trajectory Prediction Using Deep Conditional Generative Models.
|
IEEE Robotics and Automation Letters | 2020 | 0 |
| Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.
|
IROS | 2019 | 18 |
| Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning.
|
IROS | 2019 | 7 |
| TD-regularized actor-critic methods.
|
MLJ | 2019 | 0 |
| Experience Reuse with Probabilistic Movement Primitives.
|
IROS | 2019 | 9 |
| Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems.
|
IROS | 2019 | 42 |
| Switching Linear Dynamics for Variational Bayes Filtering.
|
ICML | 2019 | 37 |
| Building a Library of Tactile Skills Based on FingerVision.
|
Humanoids | 2019 | 6 |
| Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories.
|
IROS | 2019 | 4 |
| Self-Paced Contextual Reinforcement Learning.
|
CoRL | 2019 | 30 |
| Reinforcement learning of motor skills using Policy Search and human corrective advice.
|
IJRR | 2019 | 10 |
| Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics.
|
IROS | 2019 | 5 |
| Receding Horizon Curiosity.
|
CoRL | 2019 | 8 |
| Compatible natural gradient policy search.
|
MLJ | 2019 | 0 |
| Learning Replanning Policies With Direct Policy Search.
|
IEEE Robotics and Automation Letters | 2019 | 4 |
| Projections for Approximate Policy Iteration Algorithms.
|
ICML | 2019 | 8 |
| Learning Intention Aware Online Adaptation of Movement Primitives.
|
IEEE Robotics and Automation Letters | 2019 | 12 |
| Information Gathering in Decentralized POMDPs by Policy Graph Improvement.
|
AAMAS | 2019 | 6 |
| Entropic Risk Measure in Policy Search.
|
IROS | 2019 | 18 |
| Stochastic Optimal Control as Approximate Input Inference.
|
CoRL | 2019 | 16 |
| HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints.
|
CoRL | 2019 | 12 |
| Exploration Driven by an Optimistic Bellman Equation.
|
IJCNN | 2019 | 1 |
| Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm
|
IROS | 2019 | 0 |
| Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework.
|
IEEE Robotics and Automation Letters | 2019 | 0 |
| Online Learning of an Open-Ended Skill Library for Collaborative Tasks.
|
Humanoids | 2018 | 16 |
| Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
|
JMLR | 2018 | 7 |
| Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives.
|
ICRA | 2018 | 4 |
| Using probabilistic movement primitives in robotics.
|
Autonomous Robots | 2018 | 138 |
| Control of Musculoskeletal Systems Using Learned Dynamics Models.
|
IEEE Robotics and Automation Letters | 2018 | 13 |
| Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations.
|
IEEE Robotics and Automation Letters | 2018 | 14 |
| Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
|
CoRL | 2018 | 38 |
| Regularizing Reinforcement Learning with State Abstraction.
|
IROS | 2018 | 11 |
| Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
|
ICRA | 2018 | 19 |
| Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
|
ICRA | 2018 | 2 |
| Approximate Value Iteration Based on Numerical Quadrature.
|
IEEE Robotics and Automation Letters | 2018 | 2 |
| Online optimal trajectory generation for robot table tennis.
|
Robotics and Autonomous Systems | 2018 | 45 |
| Utilizing Human Feedback in POMDP Execution and Specification.
|
Humanoids | 2018 | 6 |
| A kernel-based approach to learning contact distributions for robot manipulation tasks.
|
Autonomous Robots | 2018 | 12 |
| PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.
|
ICML | 2018 | 0 |
| Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.
|
JMLR | 2018 | 0 |
| Anticipatory action selection for human-robot table tennis.
|
Artificial Intelligence | 2017 | 31 |
| Learning inverse dynamics models in O(n) time with LSTM networks.
|
Humanoids | 2017 | 47 |
| Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project.
|
Robotics and Autonomous Systems | 2017 | 19 |
| Layered direct policy search for learning hierarchical skills.
|
ICRA | 2017 | 17 |
| Stability of Controllers for Gaussian Process Dynamics.
|
JMLR | 2017 | 28 |
| Probabilistic Prioritization of Movement Primitives.
|
IEEE Robotics and Automation Letters | 2017 | 21 |
| Efficient online adaptation with stochastic recurrent neural networks.
|
Humanoids | 2017 | 3 |
| A comparison of distance measures for learning nonparametric motor skill libraries.
|
Humanoids | 2017 | 3 |
| Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
|
CoRL | 2017 | 4 |
| Hybrid control trajectory optimization under uncertainty.
|
IROS | 2017 | 13 |
| Context-driven movement primitive adaptation.
|
ICRA | 2017 | 5 |
| Non-parametric Policy Search with Limited Information Loss.
|
JMLR | 2017 | 26 |
| Learning movement primitive libraries through probabilistic segmentation.
|
IJRR | 2017 | 49 |
| Model-based contextual policy search for data-efficient generalization of robot skills.
|
Artificial Intelligence | 2017 | 72 |
| A learning-based shared control architecture for interactive task execution.
|
ICRA | 2017 | 40 |
| Local Bayesian Optimization of Motor Skills.
|
ICML | 2017 | 16 |
| Generalized exploration in policy search.
|
MLJ | 2017 | 0 |
| Empowered skills.
|
ICRA | 2017 | 4 |
| A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses.
|
IEEE Robotics and Automation Letters | 2017 | 1 |
| Guiding Trajectory Optimization by Demonstrated Distributions.
|
IEEE Robotics and Automation Letters | 2017 | 39 |
| Goal-driven dimensionality reduction for reinforcement learning.
|
IROS | 2017 | 12 |
| State-Regularized Policy Search for Linearized Dynamical Systems.
|
ICAPS | 2017 | 6 |
| Active Incremental Learning of Robot Movement Primitives.
|
CoRL | 2017 | 42 |
| Policy Search with High-Dimensional Context Variables.
|
AAAI | 2017 | 0 |
| Phase estimation for fast action recognition and trajectory generation in human-robot collaboration.
|
IJRR | 2017 | 0 |
| Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks.
|
Autonomous Robots | 2017 | 0 |
| Active tactile object exploration with Gaussian processes.
|
IROS | 2016 | 66 |
| Demonstration based trajectory optimization for generalizable robot motions.
|
Humanoids | 2016 | 38 |
| Deep spiking networks for model-based planning in humanoids.
|
Humanoids | 2016 | 10 |
| Incremental imitation learning of context-dependent motor skills.
|
Humanoids | 2016 | 17 |
| Probabilistic inference for determining options in reinforcement learning.
|
MLJ | 2016 | 0 |
| Stable reinforcement learning with autoencoders for tactile and visual data.
|
IROS | 2016 | 135 |
| Movement primitives with multiple phase parameters.
|
ICRA | 2016 | 6 |
| Stability of Controllers for Gaussian Process Forward Models.
|
ICML | 2016 | 34 |
| Jointly learning trajectory generation and hitting point prediction in robot table tennis.
|
Humanoids | 2016 | 29 |
| Using probabilistic movement primitives for striking movements.
|
Humanoids | 2016 | 19 |
| Learning soft task priorities for control of redundant robots.
|
ICRA | 2016 | 35 |
| A new trajectory generation framework in robotic table tennis.
|
IROS | 2016 | 5 |
| Probabilistic decomposition of sequential force interaction tasks into Movement Primitives.
|
IROS | 2016 | 10 |
| Hierarchical Relative Entropy Policy Search.
|
JMLR | 2016 | 0 |
| Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills.
|
IEEE Robotics and Automation Letters | 2016 | 21 |
| A lightweight robotic arm with pneumatic muscles for robot learning.
|
ICRA | 2016 | 32 |
| Catching heuristics are optimal control policies.
|
NIPS/NeurIPS | 2016 | 29 |
| Manifold Gaussian Processes for regression.
|
IJCNN | 2016 | 0 |
| Probabilistic progress prediction and sequencing of concurrent movement primitives.
|
IROS | 2015 | 9 |
| Learning optimal striking points for a ping-pong playing robot.
|
IROS | 2015 | 22 |
| Learning multiple collaborative tasks with a mixture of Interaction Primitives.
|
ICRA | 2015 | 99 |
| Learning inverse dynamics models with contacts.
|
ICRA | 2015 | 56 |
| Learning of Non-Parametric Control Policies with High-Dimensional State Features.
|
AISTATS | 2015 | 34 |
| Evaluation of tactile feature extraction for interactive object recognition.
|
Humanoids | 2015 | 58 |
| Reinforcement learning vs human programming in tetherball robot games.
|
IROS | 2015 | 15 |
| Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations.
|
Robotics and Autonomous Systems | 2015 | 55 |
| Optimizing robot striking movement primitives with Iterative Learning Control.
|
Humanoids | 2015 | 4 |
| Active reward learning with a novel acquisition function.
|
Autonomous Robots | 2015 | 51 |
| Towards learning hierarchical skills for multi-phase manipulation tasks.
|
ICRA | 2015 | 109 |
| Learning robot in-hand manipulation with tactile features.
|
Humanoids | 2015 | 137 |
| Stabilizing novel objects by learning to predict tactile slip.
|
IROS | 2015 | 86 |
| A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation.
|
ISRR | 2015 | 15 |
| Extracting low-dimensional control variables for movement primitives.
|
ICRA | 2015 | 44 |
| First-person tele-operation of a humanoid robot.
|
Humanoids | 2015 | 27 |
| Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills.
|
IROS | 2015 | 15 |
| A comparison of contact distribution representations for learning to predict object interactions.
|
Humanoids | 2015 | 5 |
| Learning torque control in presence of contacts using tactile sensing from robot skin.
|
Humanoids | 2015 | 13 |
| Model-free Probabilistic Movement Primitives for physical interaction.
|
IROS | 2015 | 17 |
| Probabilistic segmentation applied to an assembly task.
|
Humanoids | 2015 | 38 |
| Learning motor skills from partially observed movements executed at different speeds.
|
IROS | 2015 | 25 |
| Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract).
|
ICAPS | 2015 | 0 |
| Model-Based Relative Entropy Stochastic Search.
|
NIPS/NeurIPS | 2015 | 0 |
| Policy search for learning robot control using sparse data.
|
ICRA | 2014 | 18 |
| Learning to sequence movement primitives from demonstrations.
|
IROS | 2014 | 45 |
| Tools for simulating humanoid robot dynamics: A survey based on user feedback.
|
Humanoids | 2014 | 64 |
| Learning robot tactile sensing for object manipulation.
|
IROS | 2014 | 67 |
| Special issue on autonomous grasping and manipulation.
|
Autonomous Robots | 2014 | 12 |
| Interaction primitives for human-robot cooperation tasks.
|
ICRA | 2014 | 199 |
| Learning interaction for collaborative tasks with probabilistic movement primitives.
|
Humanoids | 2014 | 88 |
| An experimental comparison of Bayesian optimization for bipedal locomotion.
|
ICRA | 2014 | 72 |
| Latent space policy search for robotics.
|
IROS | 2014 | 25 |
| Dimensionality reduction for probabilistic movement primitives.
|
Humanoids | 2014 | 33 |
| Predicting object interactions from contact distributions.
|
IROS | 2014 | 20 |
| Multi-task policy search for robotics.
|
ICRA | 2014 | 111 |
| Robust policy updates for stochastic optimal control.
|
Humanoids | 2014 | 8 |
| Active Reward Learning.
|
RSS | 2014 | 98 |
| Natural evolution strategies.
|
JMLR | 2014 | 9 |
| Policy Search for Path Integral Control.
|
ECML/PKDD | 2014 | 41 |
| Generalizing pouring actions between objects using warped parameters.
|
Humanoids | 2014 | 33 |
| Learning to predict phases of manipulation tasks as hidden states.
|
ICRA | 2014 | 45 |
| Sample-based informationl-theoretic stochastic optimal control.
|
ICRA | 2014 | 23 |
| Policy evaluation with temporal differences: a survey and comparison.
|
JMLR | 2014 | 0 |
| Towards Robot Skill Learning: From Simple Skills to Table Tennis.
|
ECML/PKDD | 2013 | 39 |
| Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments.
|
Humanoids | 2013 | 10 |
| Probabilistic Movement Primitives.
|
NIPS/NeurIPS | 2013 | 444 |
| Reinforcement learning in robotics: A survey.
|
IJRR | 2013 | 2459 |
| Learning sequential motor tasks.
|
ICRA | 2013 | 49 |
| A probabilistic approach to robot trajectory generation.
|
Humanoids | 2013 | 20 |
| Feedback error learning for rhythmic motor primitives.
|
ICRA | 2013 | 7 |
| Autonomous reinforcement learning with hierarchical REPS.
|
IJCNN | 2013 | 5 |
| Learning responsive robot behavior by imitation.
|
IROS | 2013 | 39 |
| Model-based imitation learning by probabilistic trajectory matching.
|
ICRA | 2013 | 46 |
| Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
|
AAAI | 2013 | 124 |
| Alignment-based transfer learning for robot models.
|
IJCNN | 2013 | 65 |
| Probabilistic movement modeling for intention inference in human-robot interaction.
|
IJRR | 2013 | 0 |
| Learning to select and generalize striking movements in robot table tennis.
|
IJRR | 2013 | 0 |
| A kernel-based approach to direct action perception.
|
ICRA | 2012 | 85 |
| Algorithms for Learning Markov Field Policies.
|
NIPS/NeurIPS | 2012 | 0 |
| Generalization of human grasping for multi-fingered robot hands.
|
IROS | 2012 | 98 |
| Learning concurrent motor skills in versatile solution spaces.
|
IROS | 2012 | 45 |
| Learning throwing and catching skills.
|
IROS | 2012 | 10 |
| Maximally informative interaction learning for scene exploration.
|
IROS | 2012 | 43 |
| Probabilistic Modeling of Human Movements for Intention Inference.
|
RSS | 2012 | 52 |
| Robot Skill Learning.
|
ECAI | 2012 | 9 |
| Reinforcement learning to adjust parametrized motor primitives to new situations.
|
Autonomous Robots | 2012 | 0 |
| Structured Apprenticeship Learning.
|
ECML/PKDD | 2012 | 26 |
| Learning tracking control with forward models.
|
ICRA | 2012 | 10 |
| Toward fast policy search for learning legged locomotion.
|
IROS | 2012 | 33 |
| Point cloud completion using extrusions.
|
Humanoids | 2012 | 28 |
| A brain-robot interface for studying motor learning after stroke.
|
IROS | 2012 | 20 |
| Hierarchical Relative Entropy Policy Search.
|
AISTATS | 2012 | 0 |
| Learning visual representations for perception-action systems.
|
IJRR | 2011 | 41 |
| Trajectory planning for optimal robot catching in real-time.
|
ICRA | 2011 | 112 |
| Modeling Opponent Actions for Table-Tennis Playing Robot.
|
AAAI | 2011 | 1 |
| Model learning for robot control: a survey.
|
Cognitive Processing | 2011 | 455 |
| A flexible hybrid framework for modeling complex manipulation tasks.
|
ICRA | 2011 | 8 |
| Learning elementary movements jointly with a higher level task.
|
IROS | 2011 | 16 |
| A Non-Parametric Approach to Dynamic Programming.
|
NIPS/NeurIPS | 2011 | 19 |
| Learning robot grasping from 3-D images with Markov Random Fields.
|
IROS | 2011 | 45 |
| Relative Entropy Inverse Reinforcement Learning.
|
AISTATS | 2011 | 315 |
| Balancing Safety and Exploitability in Opponent Modeling.
|
AAAI | 2011 | 19 |
| Learning inverse kinematics with structured prediction.
|
IROS | 2011 | 49 |
| Learning task-space tracking control with kernels.
|
IROS | 2011 | 6 |
| Learning anticipation policies for robot table tennis.
|
IROS | 2011 | 19 |
| Reinforcement Learning to Adjust Robot Movements to New Situations.
|
IJCAI | 2011 | 0 |
| Policy search for motor primitives in robotics.
|
MLJ | 2011 | 0 |
| Movement extraction by detecting dynamics switches and repetitions.
|
NIPS/NeurIPS | 2010 | 60 |
| Learning table tennis with a Mixture of Motor Primitives.
|
Humanoids | 2010 | 97 |
| Combining active learning and reactive control for robot grasping.
|
Robotics and Autonomous Systems | 2010 | 164 |
| Using model knowledge for learning inverse dynamics.
|
ICRA | 2010 | 171 |
| Reinforcement Learning to adjust Robot Movements to New Situations.
|
RSS | 2010 | 203 |
| A biomimetic approach to robot table tennis.
|
IROS | 2010 | 113 |
| Learning probabilistic discriminative models of grasp affordances under limited supervision.
|
IROS | 2010 | 21 |
| Relative Entropy Policy Search.
|
AAAI | 2010 | 605 |
| Switched Latent Force Models for Movement Segmentation.
|
NIPS/NeurIPS | 2010 | 37 |
| Incremental Sparsification for Real-time Online Model Learning.
|
AISTATS | 2010 | 25 |
| Movement templates for learning of hitting and batting.
|
ICRA | 2010 | 169 |
| Learning Visual Representations for Interactive Systems.
|
ISRR | 2009 | 11 |
| An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
|
AISTATS | 2009 | 33 |
| Learning complex motions by sequencing simpler motion templates.
|
ICML | 2009 | 47 |
| Efficient Sample Reuse in EM-Based Policy Search.
|
ECML/PKDD | 2009 | 17 |
| Active learning using mean shift optimization for robot grasping.
|
IROS | 2009 | 35 |
| Sparse online model learning for robot control with support vector regression.
|
IROS | 2009 | 31 |
| Guest editorial: Special issue on robot learning, Part A.
|
Autonomous Robots | 2009 | 2 |
| Learning motor primitives for robotics.
|
ICRA | 2009 | 236 |
| Towards Motor Skill Learning for Robotics.
|
ISRR | 2009 | 0 |
| Guest editorial: Special issue on robot learning, Part B.
|
Autonomous Robots | 2009 | 0 |
| Real-time learning of resolved velocity control on a Mitsubishi PA-10.
|
ICRA | 2008 | 7 |
| Local Gaussian Process Regression for Real Time Online Model Learning.
|
NIPS/NeurIPS | 2008 | 242 |
| Local Gaussian process regression for real-time model-based robot control.
|
IROS | 2008 | 138 |
| Learning to Control in Operational Space.
|
IJRR | 2008 | 183 |
| Operational Space Control: A Theoretical and Empirical Comparison.
|
IJRR | 2008 | 353 |
| Policy Gradients with Parameter-Based Exploration for Control.
|
ICANN | 2008 | 70 |
| Fitted Q-iteration by Advantage Weighted Regression.
|
NIPS/NeurIPS | 2008 | 58 |
| Model-Based Reinforcement Learning with Continuous States and Actions.
|
ESANN | 2008 | 23 |
| Policy Search for Motor Primitives in Robotics.
|
NIPS/NeurIPS | 2008 | 712 |
| Learning perceptual coupling for motor primitives.
|
IROS | 2008 | 90 |
| Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
|
ICANN | 2008 | 10 |
| Using Bayesian Dynamical Systems for Motion Template Libraries.
|
NIPS/NeurIPS | 2008 | 26 |
| Learning Inverse Dynamics: a Comparison.
|
ESANN | 2008 | 89 |
| Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
|
AAAI | 2008 | 0 |
| A unifying framework for robot control with redundant DOFs.
|
Autonomous Robots | 2008 | 0 |
| Reinforcement Learning for Operational Space Control.
|
ICRA | 2007 | 28 |
| Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning.
|
ESANN | 2007 | 28 |
| Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers.
|
IROS | 2007 | 5 |
| Reinforcement learning by reward-weighted regression for operational space control.
|
ICML | 2007 | 197 |
| Solving Deep Memory POMDPs with Recurrent Policy Gradients.
|
ICANN | 2007 | 159 |
| Policy Gradient Methods for Robotics.
|
IROS | 2006 | 559 |
| Reinforcement Learning for Parameterized Motor Primitives.
|
IJCNN | 2006 | 30 |
| Learning Operational Space Control.
|
RSS | 2006 | 22 |
| A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
|
RSS | 2006 | 63 |
| A unifying methodology for the control of robotic systems.
|
IROS | 2005 | 42 |
| Comparative experiments on task space control with redundancy resolution.
|
IROS | 2005 | 82 |
| Natural Actor-Critic.
|
ECML/PKDD | 2005 | 0 |
| Learning Movement Primitives.
|
ISRR | 2003 | 0 |