Jan Peters 0001

358 publications

34 venues

H Index 60

Affiliation

TU Darmstadt, Department of Computer Science, Germany
Max 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

Name Venue Year citations
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint). AAAI 2026 0
DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. IEEE Robotics and Automation Letters 2026 0
Context-Aware Deep Lagrangian Networks for Model Predictive Control. IROS 2025 1
The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation. Humanoids 2025 1
Entropy based blending of policies for multi-agent coexistence. Autonomous Agents and Multi-Agent Systems 2025 1
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning. ICRA 2025 6
FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. IROS 2025 11
Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations. IROS 2025 2
Staring Down the Elevator Shaft: Postural Responses to Virtual Heights in an Indoor Environment. Cognitive Science 2025 0
Open-ended coordination for multi-agent systems using modular open policies. Autonomous Agents and Multi-Agent Systems 2025 2
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. IROS 2025 6
Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. ICLR 2025 0
Maximum Total Correlation Reinforcement Learning. ICML 2025 3
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. ICML 2025 0
QueryCAD: Grounded Question Answering for CAD Models. ICRA 2025 0
Inverse decision-making using neural amortized Bayesian actors. ICLR 2025 0
Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. ICLR 2025 0
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis. IROS 2025 0
Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators. IEEE Robotics and Automation Letters 2025 0
Global Tensor Motion Planning. IEEE Robotics and Automation Letters 2025 0
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation. Humanoids 2024 3
Balancing on the Edge: Review and Computational Framework on the Dynamics of Fear of Falling and Fear of Heights in Postural Control. Cognitive Science 2024 1
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRL 2024 6
Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. IROS 2024 1
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. IEEE Robotics and Automation Letters 2024 21
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024 281
What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. ICRA 2024 16
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML 2024 8
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML 2024 7
Beyond the Cascade: Juggling Vanilla Siteswap Patterns. IROS 2024 1
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. CoRL 2024 44
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. IJCAI 2024 15
Safe and Efficient Path Planning Under Uncertainty via Deep Collision Probability Fields. IEEE Robotics and Automation Letters 2024 4
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRL 2024 3
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations. CoRL 2024 11
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. NIPS/NeurIPS 2024 1
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion. Humanoids 2024 4
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies. ICLR 2024 0
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. AAAI 2024 0
Parameterized Projected Bellman Operator. AAAI 2024 0
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. ICLR 2024 0
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. ICLR 2024 0
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR 2024 0
Domain Randomization via Entropy Maximization. ICLR 2024 0
Extended Tree Search for Robot Task and Motion Planning. IROS 2024 0
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. IEEE Robotics and Automation Letters 2024 0
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. TPAMI 2024 0
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. TPAMI 2024 0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. JAIR 2024 0
Value-Distributional Model-Based Reinforcement Learning. JMLR 2024 0
Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators. IEEE Robotics and Automation Letters 2023 40
Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. ECAI 2023 7
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. IROS 2023 211
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. ICLR 2023 31
Start State Selection for Control Policy Learning from Optimal Trajectories. ICRA 2023 0
Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features. Humanoids 2023 1
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. ICLR 2023 4
Model-Based Uncertainty in Value Functions. AISTATS 2023 18
Pseudo-Likelihood Inference. NIPS/NeurIPS 2023 0
Accelerating Motion Planning via Optimal Transport. NIPS/NeurIPS 2023 24
Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning. IEEE Robotics and Automation Letters 2023 7
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures. NIPS/NeurIPS 2023 12
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
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion. ICRA 2023 0
Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing. IROS 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
Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. IROS 2022 7
Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. Humanoids 2022 7
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. Humanoids 2022 13
Dimensionality Reduction and Prioritized Exploration for Policy Search. AISTATS 2022 4
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRL 2022 22
Robot Learning of Mobile Manipulation With Reachability Behavior Priors. IEEE Robotics and Automation Letters 2022 65
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery. IROS 2022 14
Regularized Deep Signed Distance Fields for Reactive Motion Generation. IROS 2022 46
Active Exploration for Robotic Manipulation. IROS 2022 13
Learning Implicit Priors for Motion Optimization. IROS 2022 37
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. JAIR 2022 43
Curriculum Reinforcement Learning via Constrained Optimal Transport. ICML 2022 40
Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking. Humanoids 2022 0
Boosted Curriculum Reinforcement Learning. ICLR 2022 10
Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. Humanoids 2022 3
Information-Theoretic Safe Exploration with Gaussian Processes. NIPS/NeurIPS 2022 16
Monte-Carlo Robot Path Planning. IEEE Robotics and Automation Letters 2022 43
PAC-Bayesian lifelong learning for multi-armed bandits. DMKD 2022 8
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
Gaussian Approximation for Bias Reduction in Q-Learning. JMLR 2021 9
Robot Reinforcement Learning on the Constraint Manifold. CoRL 2021 58
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. RSS 2021 31
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. JMLR 2021 29
Robust Value Iteration for Continuous Control Tasks. RSS 2021 19
SKID RAW: Skill Discovery From Raw Trajectories. IEEE Robotics and Automation Letters 2021 35
Directed Acyclic Graph Neural Network for Human Motion Prediction. ICRA 2021 23
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. ICRA 2021 54
Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction. CoRL 2021 50
Value Iteration in Continuous Actions, States and Time. ICML 2021 40
Latent Derivative Bayesian Last Layer Networks. AISTATS 2021 38
Neural Posterior Domain Randomization. CoRL 2021 42
Learning Human-like Hand Reaching for Human-Robot Handshaking. ICRA 2021 15
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. IJCNN 2021 7
Efficient and Reactive Planning for High Speed Robot Air Hockey. IROS 2021 22
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
Convex optimization with an interpolation-based projection and its application to deep learning. MLJ 2021 0
Assessing Transferability From Simulation to Reality for Reinforcement Learning. TPAMI 2021 0
MushroomRL: Simplifying Reinforcement Learning Research. JMLR 2021 0
Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives. IEEE Robotics and Automation Letters 2020 36
Self-Paced Deep Reinforcement Learning. NIPS/NeurIPS 2020 64
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows. IROS 2020 71
Redundancy resolution under hard joint constraints: a generalized approach to rank updates. IROS 2020 2
Probabilistic Approach to Physical Object Disentangling. IEEE Robotics and Automation Letters 2020 2
Deep Adversarial Reinforcement Learning for Object Disentangling. IROS 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 20
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. CoRL 2020 32
Underactuated Waypoint Trajectory Optimization for Light Painting Photography. ICRA 2020 4
A Probabilistic Framework for Imitating Human Race Driver Behavior. IEEE Robotics and Automation Letters 2020 14
Sharing Knowledge in Multi-Task Deep Reinforcement Learning. ICLR 2020 143
Model-Based Quality-Diversity Search for Efficient Robot Learning. IROS 2020 24
Numerical Quadrature for Probabilistic Policy Search. TPAMI 2020 13
Learning Hierarchical Acquisition Functions for Bayesian Optimization. IROS 2020 0
Learning Control Policies from Optimal Trajectories. ICRA 2020 2
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. IEEE Robotics and Automation Letters 2020 36
Bayesian Online Prediction of Change Points. UAI 2020 0
Generalized Mean Estimation in Monte-Carlo Tree Search. IJCAI 2020 0
A Nonparametric Off-Policy Policy Gradient. AISTATS 2020 0
Real Time Trajectory Prediction Using Deep Conditional Generative Models. IEEE Robotics and Automation Letters 2020 0
Learning attribute grammars for movement primitive sequencing. IJRR 2020 0
Entropic Risk Measure in Policy Search. IROS 2019 33
Reinforcement learning of motor skills using Policy Search and human corrective advice. IJRR 2019 27
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. IROS 2019 86
Learning Replanning Policies With Direct Policy Search. IEEE Robotics and Automation Letters 2019 4
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. CoRL 2019 23
Projections for Approximate Policy Iteration Algorithms. ICML 2019 18
Building a Library of Tactile Skills Based on FingerVision. Humanoids 2019 13
Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. IROS 2019 9
Stochastic Optimal Control as Approximate Input Inference. CoRL 2019 41
Experience Reuse with Probabilistic Movement Primitives. IROS 2019 11
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS 2019 7
Receding Horizon Curiosity. CoRL 2019 15
Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics and Automation Letters 2019 32
Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories. IROS 2019 6
Self-Paced Contextual Reinforcement Learning. CoRL 2019 52
Exploration Driven by an Optimistic Bellman Equation. IJCNN 2019 3
Switching Linear Dynamics for Variational Bayes Filtering. ICML 2019 48
Compatible natural gradient policy search. MLJ 2019 26
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. IROS 2019 44
Information Gathering in Decentralized POMDPs by Policy Graph Improvement. AAMAS 2019 12
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
TD-regularized actor-critic methods. MLJ 2019 0
Approximate Value Iteration Based on Numerical Quadrature. IEEE Robotics and Automation Letters 2018 2
Regularizing Reinforcement Learning with State Abstraction. IROS 2018 29
Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations. IEEE Robotics and Automation Letters 2018 19
Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics and Automation Letters 2018 23
Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Humanoids 2018 18
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA 2018 23
Learning Coupled Forward-Inverse Models with Combined Prediction Errors. ICRA 2018 2
Utilizing Human Feedback in POMDP Execution and Specification. Humanoids 2018 7
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA 2018 6
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. JMLR 2018 10
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. CoRL 2018 56
Online optimal trajectory generation for robot table tennis. Robotics and Autonomous Systems 2018 65
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. ICML 2018 0
A kernel-based approach to learning contact distributions for robot manipulation tasks. Autonomous Robots 2018 0
Using probabilistic movement primitives in robotics. Autonomous Robots 2018 0
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. JMLR 2018 0
Non-parametric Policy Search with Limited Information Loss. JMLR 2017 27
Active Incremental Learning of Robot Movement Primitives. CoRL 2017 63
Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids 2017 79
Stability of Controllers for Gaussian Process Dynamics. JMLR 2017 32
Context-driven movement primitive adaptation. ICRA 2017 5
A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses. IEEE Robotics and Automation Letters 2017 1
Learning movement primitive libraries through probabilistic segmentation. IJRR 2017 67
Empowered skills. ICRA 2017 4
Generalized exploration in policy search. MLJ 2017 15
Hybrid control trajectory optimization under uncertainty. IROS 2017 14
A learning-based shared control architecture for interactive task execution. ICRA 2017 55
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. CoRL 2017 5
Model-based contextual policy search for data-efficient generalization of robot skills. Artificial Intelligence 2017 80
A comparison of distance measures for learning nonparametric motor skill libraries. Humanoids 2017 3
Probabilistic Prioritization of Movement Primitives. IEEE Robotics and Automation Letters 2017 27
State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS 2017 6
Goal-driven dimensionality reduction for reinforcement learning. IROS 2017 16
Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics and Automation Letters 2017 59
Local Bayesian Optimization of Motor Skills. ICML 2017 23
Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project. Robotics and Autonomous Systems 2017 20
Efficient online adaptation with stochastic recurrent neural networks. Humanoids 2017 3
Layered direct policy search for learning hierarchical skills. ICRA 2017 23
Anticipatory action selection for human-robot table tennis. Artificial Intelligence 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
Incremental imitation learning of context-dependent motor skills. Humanoids 2016 22
Jointly learning trajectory generation and hitting point prediction in robot table tennis. Humanoids 2016 43
Movement primitives with multiple phase parameters. ICRA 2016 7
A lightweight robotic arm with pneumatic muscles for robot learning. ICRA 2016 41
Catching heuristics are optimal control policies. NIPS/NeurIPS 2016 36
A new trajectory generation framework in robotic table tennis. IROS 2016 6
Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. IEEE Robotics and Automation Letters 2016 25
Stability of Controllers for Gaussian Process Forward Models. ICML 2016 37
Learning soft task priorities for control of redundant robots. ICRA 2016 41
Stable reinforcement learning with autoencoders for tactile and visual data. IROS 2016 177
Demonstration based trajectory optimization for generalizable robot motions. Humanoids 2016 56
Probabilistic inference for determining options in reinforcement learning. MLJ 2016 119
Deep spiking networks for model-based planning in humanoids. Humanoids 2016 10
Using probabilistic movement primitives for striking movements. Humanoids 2016 28
Probabilistic decomposition of sequential force interaction tasks into Movement Primitives. IROS 2016 16
Active tactile object exploration with Gaussian processes. IROS 2016 110
Manifold Gaussian Processes for regression. IJCNN 2016 0
Hierarchical Relative Entropy Policy Search. JMLR 2016 0
Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations. Robotics and Autonomous Systems 2015 55
Stabilizing novel objects by learning to predict tactile slip. IROS 2015 119
First-person tele-operation of a humanoid robot. Humanoids 2015 44
Probabilistic segmentation applied to an assembly task. Humanoids 2015 47
Reinforcement learning vs human programming in tetherball robot games. IROS 2015 18
Learning multiple collaborative tasks with a mixture of Interaction Primitives. ICRA 2015 110
Optimizing robot striking movement primitives with Iterative Learning Control. Humanoids 2015 5
Learning inverse dynamics models with contacts. ICRA 2015 62
Active reward learning with a novel acquisition function. Autonomous Robots 2015 66
Learning optimal striking points for a ping-pong playing robot. IROS 2015 35
Learning torque control in presence of contacts using tactile sensing from robot skin. Humanoids 2015 17
Learning motor skills from partially observed movements executed at different speeds. IROS 2015 25
Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills. IROS 2015 17
Model-free Probabilistic Movement Primitives for physical interaction. IROS 2015 24
Learning of Non-Parametric Control Policies with High-Dimensional State Features. AISTATS 2015 36
Evaluation of tactile feature extraction for interactive object recognition. Humanoids 2015 71
Learning robot in-hand manipulation with tactile features. Humanoids 2015 179
Probabilistic progress prediction and sequencing of concurrent movement primitives. IROS 2015 10
Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA 2015 135
A comparison of contact distribution representations for learning to predict object interactions. Humanoids 2015 4
A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation. ISRR 2015 14
Extracting low-dimensional control variables for movement primitives. ICRA 2015 47
Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract). ICAPS 2015 0
Model-Based Relative Entropy Stochastic Search. NIPS/NeurIPS 2015 0
Learning to sequence movement primitives from demonstrations. IROS 2014 57
Interaction primitives for human-robot cooperation tasks. ICRA 2014 234
Learning to predict phases of manipulation tasks as hidden states. ICRA 2014 52
An experimental comparison of Bayesian optimization for bipedal locomotion. ICRA 2014 88
Policy Search for Path Integral Control. ECML/PKDD 2014 49
Special issue on autonomous grasping and manipulation. Autonomous Robots 2014 11
Robust policy updates for stochastic optimal control. Humanoids 2014 11
Active Reward Learning. RSS 2014 126
Generalizing pouring actions between objects using warped parameters. Humanoids 2014 37
Multi-task policy search for robotics. ICRA 2014 137
Predicting object interactions from contact distributions. IROS 2014 18
Learning interaction for collaborative tasks with probabilistic movement primitives. Humanoids 2014 110
Latent space policy search for robotics. IROS 2014 27
Sample-based informationl-theoretic stochastic optimal control. ICRA 2014 32
Learning robot tactile sensing for object manipulation. IROS 2014 85
Policy search for learning robot control using sparse data. ICRA 2014 23
Dimensionality reduction for probabilistic movement primitives. Humanoids 2014 40
Tools for simulating humanoid robot dynamics: A survey based on user feedback. Humanoids 2014 78
Policy evaluation with temporal differences: a survey and comparison. JMLR 2014 0
Natural evolution strategies. JMLR 2014 0
Feedback error learning for rhythmic motor primitives. ICRA 2013 7
Alignment-based transfer learning for robot models. IJCNN 2013 72
A probabilistic approach to robot trajectory generation. Humanoids 2013 25
Reinforcement learning in robotics: A survey. IJRR 2013 3647
Probabilistic Movement Primitives. NIPS/NeurIPS 2013 692
Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments. Humanoids 2013 9
Learning sequential motor tasks. ICRA 2013 51
Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AAAI 2013 135
Model-based imitation learning by probabilistic trajectory matching. ICRA 2013 61
Autonomous reinforcement learning with hierarchical REPS. IJCNN 2013 7
Towards Robot Skill Learning: From Simple Skills to Table Tennis. ECML/PKDD 2013 44
Learning responsive robot behavior by imitation. IROS 2013 42
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
Maximally informative interaction learning for scene exploration. IROS 2012 46
Point cloud completion using extrusions. Humanoids 2012 35
Learning concurrent motor skills in versatile solution spaces. IROS 2012 44
Probabilistic Modeling of Human Movements for Intention Inference. RSS 2012 53
A kernel-based approach to direct action perception. ICRA 2012 89
Reinforcement learning to adjust parametrized motor primitives to new situations. Autonomous Robots 2012 58
Learning throwing and catching skills. IROS 2012 21
Generalization of human grasping for multi-fingered robot hands. IROS 2012 117
A brain-robot interface for studying motor learning after stroke. IROS 2012 22
Structured Apprenticeship Learning. ECML/PKDD 2012 30
Learning tracking control with forward models. ICRA 2012 10
Robot Skill Learning. ECAI 2012 10
Toward fast policy search for learning legged locomotion. IROS 2012 37
Algorithms for Learning Markov Field Policies. NIPS/NeurIPS 2012 0
Hierarchical Relative Entropy Policy Search. AISTATS 2012 0
Balancing Safety and Exploitability in Opponent Modeling. AAAI 2011 20
Learning elementary movements jointly with a higher level task. IROS 2011 14
Model learning for robot control: a survey. Cognitive Processing 2011 545
Learning anticipation policies for robot table tennis. IROS 2011 21
A Non-Parametric Approach to Dynamic Programming. NIPS/NeurIPS 2011 20
Relative Entropy Inverse Reinforcement Learning. AISTATS 2011 391
Learning visual representations for perception-action systems. IJRR 2011 40
Learning inverse kinematics with structured prediction. IROS 2011 59
Modeling Opponent Actions for Table-Tennis Playing Robot. AAAI 2011 2
Learning task-space tracking control with kernels. IROS 2011 5
Trajectory planning for optimal robot catching in real-time. ICRA 2011 127
A flexible hybrid framework for modeling complex manipulation tasks. ICRA 2011 11
Learning robot grasping from 3-D images with Markov Random Fields. IROS 2011 46
Reinforcement Learning to Adjust Robot Movements to New Situations. IJCAI 2011 0
Policy search for motor primitives in robotics. MLJ 2011 0
Switched Latent Force Models for Movement Segmentation. NIPS/NeurIPS 2010 43
Learning table tennis with a Mixture of Motor Primitives. Humanoids 2010 125
Incremental Sparsification for Real-time Online Model Learning. AISTATS 2010 27
Combining active learning and reactive control for robot grasping. Robotics and Autonomous Systems 2010 172
Using model knowledge for learning inverse dynamics. ICRA 2010 205
Relative Entropy Policy Search. AAAI 2010 789
Movement extraction by detecting dynamics switches and repetitions. NIPS/NeurIPS 2010 63
Movement templates for learning of hitting and batting. ICRA 2010 179
Learning probabilistic discriminative models of grasp affordances under limited supervision. IROS 2010 20
A biomimetic approach to robot table tennis. IROS 2010 122
Reinforcement Learning to adjust Robot Movements to New Situations. RSS 2010 0
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. AISTATS 2009 31
Learning complex motions by sequencing simpler motion templates. ICML 2009 50
Guest editorial: Special issue on robot learning, Part A. Autonomous Robots 2009 2
Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD 2009 19
Active learning using mean shift optimization for robot grasping. IROS 2009 34
Learning Visual Representations for Interactive Systems. ISRR 2009 11
Learning motor primitives for robotics. ICRA 2009 265
Sparse online model learning for robot control with support vector regression. IROS 2009 34
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
Learning to Control in Operational Space. IJRR 2008 194
Model-Based Reinforcement Learning with Continuous States and Actions. ESANN 2008 23
Learning Inverse Dynamics: a Comparison. ESANN 2008 103
Local Gaussian Process Regression for Real Time Online Model Learning. NIPS/NeurIPS 2008 277
Using Bayesian Dynamical Systems for Motion Template Libraries. NIPS/NeurIPS 2008 28
Operational Space Control: A Theoretical and Empirical Comparison. IJRR 2008 399
Policy Gradients with Parameter-Based Exploration for Control. ICANN 2008 82
Learning perceptual coupling for motor primitives. IROS 2008 92
Local Gaussian process regression for real-time model-based robot control. IROS 2008 153
Fitted Q-iteration by Advantage Weighted Regression. NIPS/NeurIPS 2008 78
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. ICANN 2008 11
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008 0
Policy Search for Motor Primitives in Robotics. NIPS/NeurIPS 2008 0
A unifying framework for robot control with redundant DOFs. Autonomous Robots 2008 0
Reinforcement Learning for Operational Space Control. ICRA 2007 21
Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN 2007 198
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 417
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. ESANN 2007 30
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. RSS 2006 71
Learning Operational Space Control. RSS 2006 27
Policy Gradient Methods for Robotics. IROS 2006 618
Reinforcement Learning for Parameterized Motor Primitives. IJCNN 2006 29
Comparative experiments on task space control with redundancy resolution. IROS 2005 85
A unifying methodology for the control of robotic systems. IROS 2005 44
Natural Actor-Critic. ECML/PKDD 2005 0
Learning Movement Primitives. ISRR 2003 0
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