Jan Peters

发表

Towards Motor Skill Learning for Robotics

Oliver Kroemer, Jan Peters, Katharina Mülling, 2007, ISRR.

Reinforcement learning vs human programming in tetherball robot games

Jan Peters, Simone Parisi, Hany Abdulsamad, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Special issue on "Bio-inspired computing for autonomous vehicles"

Yang Gao, Antonios Tsourdos, Jan Peters, 2012, Int. J. Intell. Comput. Cybern..

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics

Jun Nakanishi, Stefan Schaal, Jan Peters, 2006, Robotics: Science and Systems.

Evaluation of the Handshake Turing Test for anthropomorphic Robots

Jan Peters, Ruth Stock-Homburg, Katharina Schneider, 2020, HRI.

Learning Prioritized Control of Motor Primitives pdf

Jan Peters, Jens Kober, Jan Peters, 2012, ArXiv.

Evaluation of tactile feature extraction for interactive object recognition

Jan Peters, Janine Hoelscher, Tucker Hermans, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Probabilistic movement modeling for intention inference in human–robot interaction

Bernhard Schölkopf, Jan Peters, Katharina Mülling, 2013, Int. J. Robotics Res..

Special issue on autonomous grasping and manipulation

Ashutosh Saxena, Jan Peters, Heni Ben Amor, 2014, Auton. Robots.

In-Hand Object Stabilization by Independent Finger Control pdf

Jan Peters, Filipe Veiga, Benoni B. Edin, 2018, ArXiv.

Guest editorial: Special issue on robot learning, Part A

Jan Peters, Andrew Y. Ng, 2009, Auton. Robots.

Reinforcement Learning for Parameterized Motor Primitives

Stefan Schaal, Jan Peters, Jan Peters, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Model-free Inverse Reinforcement Learning

Jan Peters, Jens Kober, Abdeslam Boularias, 2011 .

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints pdf

Jan Peters, Debora Clever, Michael Lutter, 2019, CoRL.

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction

Jan Peters, Susanne Trick, Dorothea Koert, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning walk and trot from the same objective using different types of exploration pdf

Jan Peters, Zinan Liu, Kai Ploeger, 2019, ArXiv.

Deep spiking networks for model-based planning in humanoids

Jan Peters, Alexandros Paraschos, Daniel Tanneberg, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Online Kernel-Based Learning for Task-Space Tracking Robot Control

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Projections for Approximate Policy Iteration Algorithms

Jan Peters, Gerhard Neumann, Joni Pajarinen, 2019, ICML.

Learning Throwing and Catching Skills : Video Track

Jan Peters, Katharina Muelling, Jens Kober, 2012 .

Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills

Arne Wahrburg, Jan Peters, Hao Ding, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Survey on Policy Search for Robotics

Jan Peters, Gerhard Neumann, Marc Peter Deisenroth, 2013, Found. Trends Robotics.

Efficient data reuse in value function approximation

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Multi-modal filtering for non-linear estimation

Jan Peters, Marc Peter Deisenroth, Sanket Kamthe, 2013, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Experiments with Motor Primitives in Table Tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, ISER.

Learning inverse kinematics with structured prediction

Bernhard Schölkopf, Jan Peters, Duy Nguyen-Tuong, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning motor skills from partially observed movements executed at different speeds

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient pdf

Jan Peters, Samuele Tosatto, Joao Carvalho, 2020, ArXiv.

Using remote sensing and machine learning for the spatial modelling of a bluetongue virus vector

Jan Peters, J. Van doninck, B. De Baets, 2012 .

Reliable Real Time Ball Tracking for Robot Table Tennis

Bernhard Schölkopf, Jan Peters, Sebastián Gómez-González, 2019, Robotics.

Learning anticipation policies for robot table tennis

Christoph H. Lampert, Bernhard Schölkopf, Jan Peters, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Policy Learning for Robotics

Jan Peters, Jan Peters, 2007 .

Probabilistic model-based imitation learning

Peter Englert, Jan Peters, Alexandros Paraschos, 2013, Adapt. Behav..

Learning motor primitives for robotics

Jan Peters, Jens Kober, Jan Peters, 2009, 2009 IEEE International Conference on Robotics and Automation.

Robot Skill Learning

Oliver Kroemer, Jan Peters, Katharina Mülling, 2012, ECAI.

Entropic Risk Measure in Policy Search

Jan Peters, Boris Belousov, David Nass, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Policy Learning - A Unified Perspective with Applications in Robotics

Jan Peters, Jens Kober, Duy Nguyen-Tuong, 2008, EWRL.

Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment

Jan Peters, Michael Gienger, Fabio Muratore, 2018, CoRL.

Layered direct policy search for learning hierarchical skills

Jan Peters, Gerhard Neumann, Riad Akrour, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Fitness Expectation Maximization

Tom Schaul, Jürgen Schmidhuber, Jan Peters, 2008, PPSN.

Report on Technical Specifications and Standards of Geographic Information

Martin Pielot, Charlotte Magnusson, Jan Peters, 2010 .

Maximally informative interaction learning for scene exploration

Oliver Kroemer, Jan Peters, Herke van Hoof, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives

Kristian Kersting, Jan Peters, Guilherme Maeda, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots pdf

Jan Peters, Roberto Calandra, Dieter Büchler, 2019, Robotics Auton. Syst..

Probabilistic progress prediction and sequencing of concurrent movement primitives

Jan Peters, Jens Kober, Michael Gienger, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411)

Siddhartha S. Srinivasa, Justus H. Piater, Robert Platt, 2015, Dagstuhl Reports.

Adapting Preshaped Grasping Movements Using Vision Descriptors

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, SAB.

Online Learning of an Open-Ended Skill Library for Collaborative Tasks

Jan Peters, Susanne Trick, Dorothea Koert, 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning

Jan Peters, Masaki Takahashi, Guilherme Maeda, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Searching a Scalable Approach to Cerebellar Based Control

Jan Peters, Patrick van der Smagt, J. Peters, 2002, Applied Intelligence.

TD-regularized actor-critic methods

Mohammad Emtiyaz Khan, Voot Tangkaratt, Jan Peters, 2018, Machine Learning.

Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project

Vincent Padois, Jan Peters, Serena Ivaldi, 2017, Robotics Auton. Syst..

Movement primitives with multiple phase parameters

Jan Peters, Josef Wiemeyer, Guilherme Maeda, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward

Nando de Freitas, Arnaud Doucet, Jan Peters, 2009, AISTATS.

Active Structured Learning for High-Speed Object Detection

Christoph H. Lampert, Jan Peters, Jan Peters, 2009, DAGM-Symposium.

Recurrent policy gradients

Jürgen Schmidhuber, Alexander Förster, Jan Peters, 2010, Log. J. IGPL.

A Nonparametric Offpolicy Policy Gradient pdf

Jan Peters, Hany Abdulsamad, Samuele Tosatto, 2020, ArXiv.

Context-driven movement primitive adaptation

Jan Peters, Rudolf Lioutikov, Daniel Wilbers, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses

Oliver Kroemer, Jan Peters, 2017, IEEE Robotics and Automation Letters.

Predicting object interactions from contact distributions

Oliver Kroemer, Jan Peters, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Imitation and Reinforcement Learning

Jan Peters, Jens Kober, Jan Peters, 2010, IEEE Robotics & Automation Magazine.

Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008)

Gerhard Lakemeyer, Jan Peters, Y. Lesperance, 2008 .

Model-Based Quality-Diversity Search for Efficient Robot Learning

Jan Peters, Svenja Stark, Daniel Tanneberg, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Local Gaussian process regression for real-time model-based robot control

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A comparison of contact distribution representations for learning to predict object interactions

Oliver Kroemer, Jan Peters, Simon Leischnig, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Advances in Human-Robot Handshaking pdf

Jan Peters, Ruth Stock-Homburg, Vignesh Prasad, 2020, ICSR.

500 wood bowls : bold & original designs blending tradition & innovation

Jan Peters, Kevin Wallace, Katherine Duncan-Aimone, 2004 .

Reinforcement Learning for Robotics

Jan Peters, Jan Peters, 2008, EWRL 2008.

Probabilistic Modeling of Human Dynamics for Intention Inference

Bernhard Schölkopf, Jan Peters, Zhikun Wang, 2012, Robotics: Science and Systems Conference.

Reinforcement Learning by Relative Entropy Policy Search

Yasemin Altun, Jan Peters, Katharina Mülling, 2010 .

Bayesian Domain Randomization for Sim-to-Real Transfer pdf

Jan Peters, Michael Gienger, Fabio Muratore, 2020, ArXiv.

Developing biorobotics for veterinary research into cat movements

Agusti Solanas, Oskar von Stryk, Jan Peters, 2015 .

Empowered skills

Jan Peters, Gerhard Neumann, Alexander Gabriel, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Real-Time Local GP Model Learning

Jan Peters, Duy Nguyen-Tuong, Matthias W. Seeger, 2010, From Motor Learning to Interaction Learning in Robots.

A Non-Parametric Approach to Dynamic Programming

Oliver Kroemer, Jan Peters, Jan Peters, 2011, NIPS.

Process-Based Modeling

Stan Matwin, Eyke Hüllermeier, Johannes Fürnkranz, 2010, Encyclopedia of Machine Learning.

Assisting the practice of motor skills by humans with a probability distribution over trajectories

Jan Peters, Josef Wiemeyer, Guilherme Maeda, 2017 .

Motor Skill Learning for Humanoid Robots

Jan Peters, Jan Peters, 2005 .

A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2015, ISRR.

ROC Curve

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Russland in den Augen polnischer und deutscher Experten

Jan Peters, Agnieszka Łada, Jan Peters, 2010, RA 2010.

Generalizing Demonstrated Actions in Manipulation Tasks

Oliver Kroemer, Jan Peters, Piater J Detry R, 2010 .

Compatible natural gradient policy search

Jan Peters, Gerhard Neumann, Joni Pajarinen, 2019, Machine Learning.

Learning responsive robot behavior by imitation

Jan Peters, Heni Ben Amor, David Vogt, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

First-person tele-operation of a humanoid robot

Jan Peters, Roberto Calandra, Lars Fritsche, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling

Betty J. Mohler, Jan Peters, Jens Kober, 2010, From Motor Learning to Interaction Learning in Robots.

Learning of Non-Parametric Control Policies with High-Dimensional State Features

Jan Peters, Herke van Hoof, Gerhard Neumann, 2015, AISTATS.

Adaptive importance sampling for value function approximation in off-policy reinforcement learning

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009, Neural Networks.

Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments

Oliver Kroemer, Jan Peters, Herke van Hoof, 2014, IEEE Transactions on Robotics.

Generalizing Movements with Information-Theoretic Stochastic Optimal Control

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2014, J. Aerosp. Inf. Syst..

Building a Library of Tactile Skills Based on FingerVision

Jan Peters, Filipe Veiga, Boris Belousov, 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).

Switched Latent Force Models for Movement Segmentation

Bernhard Schölkopf, Neil D. Lawrence, Jan Peters, 2010, NIPS.

Learning visual representations for perception-action systems

Oliver Kroemer, Justus H. Piater, Dirk Kraft, 2011, Int. J. Robotics Res..

Hierarchical Relative Entropy Policy Search

Jan Peters, Christian Daniel, Gerhard Neumann, 2014, AISTATS.

Scaling Reinforcement Learning Paradigms for Motor Control

Stefan Schaal, Sethu Vijayakumar, Jan Peters, 2003 .

Learning torque control in presence of contacts using tactile sensing from robot skin

Jan Peters, Serena Ivaldi, Marc Peter Deisenroth, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Reinforcement Learning to Adjust Robot Movements to New Situations

Jan Peters, Jens Kober, Erhan Öztop, 2010, IJCAI.

Learning Coupled Forward-Inverse Models with Combined Prediction Errors

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Learning inverse dynamics models in O(n) time with LSTM networks

Jan Peters, Elmar Rueckert, Samuele Tosatto, 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

Author Correction: Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control

Jan Babič, Jan Peters, Jernej Čamernik, 2020, Scientific Reports.

Model-free Probabilistic Movement Primitives for physical interaction

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2018, IEEE Robotics and Automation Letters.

Differential Equations as a Model Prior for Deep Learning and its Applications in Robotics

Jan Peters, Michael Lutter, Jan Peters, 2020, ICLR 2020.

Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks

Jan Peters, Filipe Veiga, Riad Akrour, 2020, Frontiers in Robotics and AI.

Recurrent neural networks from learning attractor dynamics

Stefan Schaal, Jan Peters, Jan Peters, 2003, NIPS 2003.

Towards Machine Learning of Motor Skills

Bernhard Schölkopf, Stefan Schaal, Jan Peters, 2007, AMS.

Hybrid control trajectory optimization under uncertainty

Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Dimensionality reduction for probabilistic movement primitives

Carme Torras, Jan Peters, Gerhard Neumann, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

Jan Peters, Okan Koç, Jan Peters, 2018, IEEE Robotics and Automation Letters.

Real-time learning of resolved velocity control on a Mitsubishi PA-10

Jan Peters, Duy Nguyen-Tuong, 2008, 2008 IEEE International Conference on Robotics and Automation.

Convex optimization with an interpolation-based projection and its application to deep learning pdf

Asma Atamna, Jan Peters, Riad Akrour, 2020, Machine Learning.

Omnidirectional Walking with a Compliant Inverted Pendulum Model

Luís Paulo Reis, Nuno Lau, Jan Peters, 2014, IBERAMIA.

Reinforcement Learning to Adjust Robot Movements to New Situations

Jan Peters, Jens Kober, Erhan Öztop, 2010, IJCAI.

Policy Search for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2008, NIPS 2008.

Phase estimation for fast action recognition and trajectory generation in human–robot collaboration

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2017, Int. J. Robotics Res..

Trajectory planning for optimal robot catching in real-time

Gerd Hirzinger, Jan Peters, Duy Nguyen-Tuong, 2011, 2011 IEEE International Conference on Robotics and Automation.

Random Decision Forests

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Evolutionary training and abstraction yields algorithmic generalization of neural computers

Jan Peters, Elmar Rueckert, Daniel Tanneberg, 2020, Nature Machine Intelligence.

Learning Operational Space Control

Stefan Schaal, Jan Peters, Jan Peters, 2006, Robotics: Science and Systems.

Reward Weighted Regression with Sample Reuse

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2011 .

Anticipative Interaction Primitives for Human-Robot Collaboration

Jan Peters, Guilherme Maeda, Marco Ewerton, 2016, AAAI Fall Symposia.

Approximate Value Iteration Based on Numerical Quadrature

Jan Peters, Bastian Bischoff, Julia Vinogradska, 2018, IEEE Robotics and Automation Letters.

The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls

Jan Peters, Mark D'Esposito, M. D’Esposito, 2019, bioRxiv.

Learning perceptual coupling for motor primitives

Betty J. Mohler, Jan Peters, Jens Kober, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Balancing Safety and Exploitability in Opponent Modeling

Jan Peters, Katharina Mülling, Zhikun Wang, 2011, AAAI.

Policy evaluation with temporal differences: a survey and comparison

Jan Peters, Gerhard Neumann, Christoph Dann, 2015, J. Mach. Learn. Res..

Experimental Evaluation of Task Space Position/Orientation Control Towards Compliant Control for Humanoid Robots

Jun Nakanishi, Stefan Schaal, Jan Peters, 2007 .

Combining active learning and reactive control for robot grasping

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, Robotics Auton. Syst..

Movement templates for learning of hitting and batting

Christoph H. Lampert, Bernhard Schölkopf, Oliver Kroemer, 2010, 2010 IEEE International Conference on Robotics and Automation.

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning pdf

Jan Peters, Michael Lutter, Christian Ritter, 2019, ICLR.

Jointly learning trajectory generation and hitting point prediction in robot table tennis

Bernhard Schölkopf, Jan Peters, Yanlong Huang, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Inverse Reinforcement Learning for Strategy Extraction

Betty J. Mohler, Jan Peters, Katharina Mülling, 2013 .

Imitation and Reinforcement Learning: Practical Algorithms for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2010 .

Generalizing pouring actions between objects using warped parameters

Oliver Kroemer, Jan Peters, Sascha Brandi, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

2008 Special Issue: Reinforcement learning of motor skills with policy gradients

Stefan Schaal, Jan Peters, Jan Peters, 2008 .

Fuzzy Logic for Practical Applications

Jan Peters, J. Peters, 1998 .

Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks

Oliver Kroemer, Jan Peters, Guilherme Maeda, 2017, Auton. Robots.

Entropic Regularization of Markov Decision Processes

Jan Peters, Boris Belousov, Jan Peters, 2019, Entropy.

Formal Comparison of Dual-Parameter Temporal Discounting Models in Controls and Pathological Gamblers

Christian Büchel, Jan Peters, Stephan F. Miedl, 2012, PloS one.

Scaling Reinforcement Learning Paradigms for Motor Learning

Sethu Vijayakumar, Jan Peters, Stefan Schaal, 2003 .

Numerical Quadrature for Probabilistic Policy Search

Jan Peters, Torsten Koller, Bastian Bischoff, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tools for simulating humanoid robot dynamics: A survey based on user feedback

Vincent Padois, Jan Peters, Serena Ivaldi, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Bayesian Regression for Artifact correction in Electroencephalography

Vinay Jayaram, Moritz Grosse-Wentrup, Jan Peters, 2017, GBCIC.

Stable reinforcement learning with autoencoders for tactile and visual data

Jan Peters, Maximilian Karl, Patrick van der Smagt, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Intention Aware Online Adaptation of Movement Primitives

Jan Peters, Susanne Trick, Dorothea Koert, 2019, IEEE Robotics and Automation Letters.

Active exploration for robot parameter selection in episodic reinforcement learning

Oliver Kroemer, Jan Peters, Jan Peters, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

A probabilistic approach to robot trajectory generation

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

Probabilistic inference for determining options in reinforcement learning

Jan Peters, Herke van Hoof, Christian Daniel, 2016, Machine Learning.

Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers

Jun Nakanishi, Stefan Schaal, Jan Peters, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Relative Entropy Inverse Reinforcement Learning

Jan Peters, Abdeslam Boularias, Jens Kober, 2011, AISTATS.

Reinforcement learning in robotics: A survey

Jan Peters, Jens Kober, Jan Peters, 2013, Int. J. Robotics Res..

Multi-Task Policy Search pdf

Peter Englert, Dieter Fox, Jan Peters, 2013, ArXiv.

Learning elementary movements jointly with a higher level task

Jan Peters, Jens Kober, Jan Peters, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Probabilistic segmentation applied to an assembly task

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Model-based contextual policy search for data-efficient generalization of robot skills

Ai Poh Loh, Jan Peters, Gerhard Neumann, 2017, Artif. Intell..

Policy gradient methods for machine learning

Stefan Schaal, Jan Peters, E Theodoru, 2007 .

Machine Learning for Robotics: Learning Methods for Robot Motor Skills

Jan Peters, Jan Peters, 2013 .

Robotics Challenges for Machine Learning

Jan Peters, Marc Toussaint, Jan Peters, 2007, NIPS 2007.

Receiver Operating Characteristic Analysis

Risto Miikkulainen, Johannes Fürnkranz, Luís Torgo, 2010, Encyclopedia of Machine Learning.

Manifold‐valued Thin‐Plate Splines with Applications in Computer Graphics

Bernhard Schölkopf, Florian Steinke, Matthias Hein, 2008, Comput. Graph. Forum.

Learning soft task priorities for control of redundant robots

Giuseppe Oriolo, Jan Peters, Serena Ivaldi, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Model-based Lookahead Reinforcement Learning pdf

Jan Peters, Zhang-Wei Hong, Joni Pajarinen, 2019, ArXiv.

Learning movement primitive libraries through probabilistic segmentation

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2017, Int. J. Robotics Res..

Data-Efficient Generalization of Robot Skills with Contextual Policy Search

Jan Peters, Gerhard Neumann, Marc Peter Deisenroth, 2013, AAAI.

Nonamemanuscript No. (will be inserted by the editor) Reinforcement Learning to Adjust Parametrized Motor Primitives to

Jan Peters, Andreas Wilhelm, Jens Kober, 2011 .

Differentiable Implicit Layers pdf

Jan Peters, Melih Kandemir, Rainer Gemulla, 2020, ArXiv.

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows pdf

Jan Peters, Julen Urain, Davide Tateo, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2007, AAAI.

Probabilistic movement primitives under unknown system dynamics

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2018, Adv. Robotics.

Learning robot tactile sensing for object manipulation

Oliver Kroemer, Yevgen Chebotar, Jan Peters, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Optimizing robot striking movement primitives with Iterative Learning Control

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Algorithms for Learning Markov Field Policies

Oliver Kroemer, Jan Peters, Abdeslam Boularias, 2012, NIPS.

Learning strategies in table tennis using inverse reinforcement learning

Bernhard Schölkopf, Betty J. Mohler, Jan Peters, 2014, Biological Cybernetics.

Coping with career breaks

Jan Peters, 2009 .

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills pdf

Jan Peters, Georgia Chalvatzaki, Samuele Tosatto, 2020, ArXiv.

A real-time model of the human knee for application in virtual orthopaedic trainer

Jan Peters, Jan Peters, 2000 .

Underactuated Waypoint Trajectory Optimization for Light Painting Photography

Jan Peters, Boris Belousov, Fabio Muratore, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement learning for optimal control of arm movements

Jan Peters, Stefan Schaal, Evangelos Theodorou, 2007 .

Learning complex motions by sequencing simpler motion templates

Jan Peters, Wolfgang Maass, Gerhard Neumann, 2009, ICML '09.

A Unifying Framework for the Control of Robotic Systems

Jun Nakanishi, Stefan Schaal, Jan Peters, 2005 .

Control, Planning, Learning, and Imitation with Dynamic Movement Primitives

Jun Nakanishi, Stefan Schaal, Auke Jan Ijspeert, 2003 .

Anticipatory action selection for human-robot table tennis

Bernhard Schölkopf, Jan Peters, Katharina Mülling, 2017, Artif. Intell..

Adaptive importance sampling with automatic model selection in reward weighted regression (ニューロコンピューティング)

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009 .

Robot Learning

Jun Morimoto, Nicholas Roy, Jan Peters, 2019, Encyclopedia of Machine Learning.

Learning as a key ability for Human-Friendly Robots

Moritz Grosse-Wentrup, Jan Peters, Katharina Mülling, 2010 .

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits pdf

John Shawe-Taylor, François Laviolette, Jan Peters, 2011, ArXiv.

Whole-body Motion in Humans and Humanoids

Vincent Padois, Jan Peters, Serena Ivaldi, 2014, IAS 2014.

Multi-task policy search for robotics

Peter Englert, Dieter Fox, Jan Peters, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Robot Learning

Stefan Schaal, Daniel D. Lee, Jan Peters, 2017, Encyclopedia of Machine Learning and Data Mining.

From Motor Learning to Interaction Learning in Robots

Olivier Sigaud, Jan Peters, Jan Peters, 2010, From Motor Learning to Interaction Learning in Robots.

An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion

Jan Peters, Marc Peter Deisenroth, Andre Seyfarth, 2014, ICRA 2014.

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

Jan Peters, Elmar Rueckert, Daniel Tanneberg, 2018, Neural Networks.

A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning pdf

Jan Peters, Hany Abdulsamad, Pascal Klink, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

A unifying framework for robot control with redundant DOFs

Jun Nakanishi, Stefan Schaal, Jan Peters, 2007, Auton. Robots.

State-Regularized Policy Search for Linearized Dynamical Systems

Jan Peters, Hany Abdulsamad, Gerhard Neumann, 2017, ICAPS.

Active tactile object exploration with Gaussian processes

Jan Peters, Herke van Hoof, Filipe Veiga, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Catching heuristics are optimal control policies

Jan Peters, Gerhard Neumann, Constantin A. Rothkopf, 2016, NIPS.

A biomimetic approach to robot table tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning optimal striking points for a ping-pong playing robot

Bernhard Schölkopf, Jan Peters, Yanlong Huang, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Incremental imitation learning of context-dependent motor skills

Jan Peters, Josef Wiemeyer, Guilherme Maeda, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Learning Dynamic Tactile Sensing With Robust Vision-Based Training

Christoph H. Lampert, Oliver Kroemer, Jan Peters, 2011, IEEE Transactions on Robotics.

Autonomous reinforcement learning with hierarchical REPS

Jan Peters, Christian Daniel, Gerhard Neumann, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Probabilistic Modeling of Human Movements for Intention Inference

Bernhard Schölkopf, Jan Peters, Zhikun Wang, 2012, Robotics: Science and Systems.

Model Learning in Robotics: a Survey

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2011 .

Noname manuscript No. (will be inserted by the editor) Policy Search for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2022 .

Towards Robot Skill Learning: From Simple Skills to Table Tennis

Oliver Kroemer, Jan Peters, Katharina Mülling, 2013, ECML/PKDD.

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations pdf

Jan Peters, Philipp Beckerle, Marius Schmidt, 2015, ArXiv.

Generalization of human grasping for multi-fingered robot hands

Oliver Kroemer, Jan Peters, Heni Ben Amor, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Policy search for learning robot control using sparse data

Carl E. Rasmussen, Alois Knoll, Jan Peters, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning inverse dynamics models with contacts

Jan Peters, Serena Ivaldi, Marc Peter Deisenroth, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Receding Horizon Curiosity pdf

Jan Peters, Hany Abdulsamad, Boris Belousov, 2019, CoRL.

Reinforcement Learning of Perceptual Coupling for Motor Primitives

Jan Peters, Jens Kober, Jan Peters, 2008, EWRL 2008.

Efficient online adaptation with stochastic recurrent neural networks

Jan Peters, Daniel Tanneberg, Elmar A. Rückert, 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

Operational Space Control: A Theoretical and Empirical Comparison

Jun Nakanishi, Stefan Schaal, Jan Peters, 2008, Int. J. Robotics Res..

Policy Gradient Methods

Jan Peters, J. Andrew Bagnell, Jan Peters, 2010, Encyclopedia of Machine Learning.

Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? pdf

Jan Peters, Filipe Veiga, Jan Peters, 2016, ArXiv.

Visual Perception of Robot Movements – How Much Information Is Required?

Jan Peters, Josef Wiemeyer, Marco Ewerton, 2019, Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019).

Regularizing Reinforcement Learning with State Abstraction

Jan Peters, Gerhard Neumann, Filipe Veiga, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A flexible hybrid framework for modeling complex manipulation tasks

Oliver Kroemer, Jan Peters, Jan Peters, 2011, 2011 IEEE International Conference on Robotics and Automation.

Predictive software models

Stan Matwin, Eyke Hüllermeier, Johannes Fürnkranz, 2004, Conference on Semantics in Text Processing.

Using probabilistic movement primitives in robotics

Jan Peters, Alexandros Paraschos, Christian Daniel, 2017, Autonomous Robots.

Policy Learning for Motor Skills

Stefan Schaal, Jan Peters, Jan Peters, 2007, ICONIP.

Reasons to be cheerful 1, 2, 3

Jan Peters, J. Peters, 2009 .

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2015, Robotics Auton. Syst..

Application of Reduced Order Modeling for Design of Interacting Maritime Structures

Jan Peters, Erik-Jan de Ridder, Jan Holterman, 2011 .

Neural Signatures of Motor Skill in the Resting Brain

Bernhard Schölkopf, Moritz Grosse-Wentrup, Jan Peters, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Computational Intelligence: Principles, Techniques and Applications

Jan Peters, Jan Peters, 2007, Comput. J..

Grasping with Vision Descriptors and Motor Primitives

Oliver Kroemer, Justus H. Piater, Jan Peters, 2010, ICINCO.

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131)

Peter Dayan, Ales Leonardis, Jan Peters, 2011, Dagstuhl Reports.

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement

Jan Peters, Hany Abdulsamad, Gerhard Neumann, 2016, J. Mach. Learn. Res..

A Unifying Methodology for Robot Control with Redundant DOFs

Jun Nakanishi, Stefan Schaal, Jan Peters, 2008 .

Incremental Sparsification for Real-time Online Model Learning

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2010, AISTATS.

Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning pdf

Jan Peters, Michael Lutter, Joe Watson, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning tracking control with forward models

Jan Peters, Lehel Csató, Philipp Hennig, 2012, 2012 IEEE International Conference on Robotics and Automation.

Goal-driven dimensionality reduction for reinforcement learning

Jan Peters, Simone Parisi, Simon Ramstedt, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Stochastic Optimal Control as Approximate Input Inference pdf

Jan Peters, Hany Abdulsamad, Joe Watson, 2019, CoRL.

Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm*

Koh Hosoda, Shuhei Ikemoto, Jan Peters, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Adaptation and Robust Learning of Probabilistic Movement Primitives

Bernhard Schölkopf, Jan Peters, Gerhard Neumann, 2018, IEEE Transactions on Robotics.

A Computational Model of Human Table Tennis for Robot Application

Jan Peters, Katharina Mülling, Jan Peters, 2009, AMS.

Learning to Unscrew a Light Bulb from Demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2014, ISR 2014.

Learning sequential motor tasks

Oliver Kroemer, Jan Peters, Christian Daniel, 2013, 2013 IEEE International Conference on Robotics and Automation.

A Nonparametric Off-Policy Policy Gradient

Jan Peters, Hany Abdulsamad, Samuele Tosatto, 2020, AISTATS.

Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller

Luís Paulo Reis, Nuno Lau, Jan Peters, 2015, 2015 IEEE International Conference on Autonomous Robot Systems and Competitions.

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression

Tom Schaul, Jürgen Schmidhuber, Jan Peters, 2008, ICANN.

Bayesian Gait Optimization for Bipedal Locomotion

Jan Peters, Marc Peter Deisenroth, André Seyfarth, 2014, LION.

Learning interaction for collaborative tasks with probabilistic movement primitives

Jan Peters, Guilherme Maeda, Heni Ben Amor, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories

Jan Peters, Julen Urain, Jan Peters, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robust policy updates for stochastic optimal control

Jan Peters, Gerhard Neumann, Elmar A. Rückert, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Policy Search with High-Dimensional Context Variables

Masashi Sugiyama, Voot Tangkaratt, Jan Peters, 2016, AAAI.

Guest editorial: Special issue on robot learning, Part B

Jan Peters, Andrew Y. Ng, 2009, Auton. Robots.

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement

Jan Peters, Joni Pajarinen, Mikko Lauri, 2020, Autonomous Agents and Multi-Agent Systems.

A biomimetic approach to robot table tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, IROS.

Active Inference or Control as Inference? A Unifying View pdf

Jan Peters, Joe Watson, Abraham Imohiosen, 2020, IWAI.

Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills

Jan Peters, Guilherme Maeda, Dorothea Koert, 2016, IEEE Robotics and Automation Letters.

Policy gradient methods

Jan Peters, J. Andrew Bagnell, Jan Peters, 2010, Scholarpedia.

Wie ich ein freier Reisebegleiter wurde

Jan Peters, 2013 .

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions pdf

Jan Peters, Riad Akrour, Samuele Tosatto, 2020, Stats.

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos pdf

Carl E. Rasmussen, Jan Peters, Kenji Doya, 2019, ICML.

Natural Actor-Critic

Stefan Schaal, Jan Peters, Jan Peters, 2003, Neurocomputing.

Neural Networks in Robot Control

Jan Peters, Jan Peters, 2000 .

Learning Motor Primitives with Reinforcement Learning

Jan Peters, Stefan Schaal, 2004, AAAI 2004.

Interaction primitives for human-robot cooperation tasks

Oliver Kroemer, Jan Peters, Heni Ben Amor, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Alignment-based transfer learning for robot models

Jan Peters, Lehel Csató, Botond Attila Bócsi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Exploration Driven by an Optimistic Bellman Equation

Jan Peters, Marcello Restelli, Carlo D'Eramo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Robot Learning

Jun Morimoto, Jan Peters, Russ Tedrake, 2017, Encyclopedia of Machine Learning and Data Mining.

Active Incremental Learning of Robot Movement Primitives

Jan Peters, Guilherme Maeda, Takayuki Osa, 2017, CoRL.

Practical Learning Algorithms for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2010 .

Using model knowledge for learning inverse dynamics

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2010, 2010 IEEE International Conference on Robotics and Automation.

Robot learning [TC Spotlight]

Jun Morimoto, Nicholas Roy, Jan Peters, 2009, IEEE Robotics & Automation Magazine.

Learning probabilistic discriminative models of grasp affordances under limited supervision

Oliver Kroemer, Justus H. Piater, Yasemin Altun, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

How Cognitive Models of Human Body Experience Might Push Robotics

Betty J. Mohler, Jan Peters, Philipp Beckerle, 2019, Front. Neurorobot..

A kernel-based approach to learning contact distributions for robot manipulation tasks

Oliver Kroemer, Jan Peters, Simon Leischnig, 2018, Auton. Robots.

Learning Motor Skills - From Algorithms to Robot Experiments

Jan Peters, Jens Kober, Jan Peters, 2013, Springer Tracts in Advanced Robotics.

Model-Based Reinforcement Learning with Continuous States and Actions

Carl E. Rasmussen, Jan Peters, Marc Peter Deisenroth, 2008, ESANN.

A comparison of distance measures for learning nonparametric motor skill libraries

Jan Peters, Svenja Stark, Elmar Rueckert, 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

Generalized Classication-bas ed Approximate Policy Iteration

Doina Precup, Jan Peters, Mohammad Ghavamzadeh, 2012 .

Learning table tennis with a Mixture of Motor Primitives

Jan Peters, Katharina Mülling, Jens Kober, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

A Differentiable Newton Euler Algorithm for Multi-body Model Learning pdf

Jan Peters, Michael Lutter, Joe Watson, 2020, ArXiv.

A REAL-TIME MODEL OF THE HUMAN KNEE FOR A VIRTUAL ORTHOPAEDIC TRAINER

Jan Peters, R. Riener, 2000 .

Efficient Sample Reuse in EM-Based Policy Search

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009, ECML/PKDD.

Energy-optimal collision-free catching of flying targets with nonlinear optimization and learning

Jan Peters, Duy Nguyen-Tuong, Claudio Castellini, 2011 .

Experience Reuse with Probabilistic Movement Primitives

Jan Peters, Svenja Stark, Elmar Rueckert, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Generalized exploration in policy search

Jan Peters, Herke van Hoof, Daniel Tanneberg, 2017, Machine Learning.

Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments

Oliver Kroemer, Jan Peters, Herke van Hoof, 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

Active reward learning with a novel acquisition function

Oliver Kroemer, Jan Peters, Christian Daniel, 2015, Auton. Robots.

Probabilistic Movement Primitives

Jan Peters, Alexandros Paraschos, Christian Daniel, 2013, NIPS.

ICOPER Deliverable D-5.2 - ISURE: Guideline for the integration of instructional models with open educational content in IMS Learning Design

Daniel Müller, Jan Peters, Volker Zimmermann, 2011 .

Bayesian Online Detection and Prediction of Change Points pdf

Stefan Bauer, Bernhard Schölkopf, Jan Peters, 2019, ArXiv.

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives

François Charpillet, Jan Peters, Serena Ivaldi, 2017, Front. Robot. AI.

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences

Jan Peters, Gerhard Neumann, Takayuki Osa, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot

Oliver Kroemer, Jan Peters, Guilherme Maeda, 2014, IAS.

Local-utopia policy selection for multi-objective reinforcement learning

Jan Peters, Simone Parisi, Tobias Viernickel, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

A brain-robot interface for studying motor learning after stroke

Bernhard Schölkopf, Moritz Grosse-Wentrup, Jan Peters, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Incremental online sparsification for model learning in real-time robot control

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2011, Neurocomputing.

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Jan Peters, Guilherme Maeda, Dorothea Koert, 2019, Front. Robot. AI.

Parameter-exploring policy gradients

Frank Sehnke, Christian Osendorfer, Jürgen Schmidhuber, 2010, Neural Networks.

Information-Theoretic Motor Skill Learning

Jan Peters, Gerhard Neumann, Marc Peter Deisenroth, 2013, AAAI 2013.

Manifold-based multi-objective policy search with sample reuse

Jan Peters, Simone Parisi, Matteo Pirotta, 2017, Neurocomputing.

Proceedings of the 10th European Workshop on Reinforcement Learning

Jan Peters, Marc Peter Deisenroth, C. S. Szepesvári, 2013 .

Comparative experiments on task space control with redundancy resolution

Jun Nakanishi, Stefan Schaal, Jan Peters, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments

Oliver Brock, Gordon Cheng, Michael Beetz, 2009, Cognition, Control and Learning for Robot Manipulation in Human Environments.

Simulating Human Table Tennis with a Biomimetic Robot Setup

Jan Peters, Katharina Mülling, Jens Kober, 2010, SAB.

Learning throwing and catching skills

Jan Peters, Katharina Mülling, Jens Kober, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards pdf

Jan Peters, Michael Lutter, Kai Ploeger, 2020, CoRL.

Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies

Jan Peters, Gerhard Neumann, Takayuki Osa, 2016, ISER.

Learning Movement Primitives

Jun Nakanishi, Stefan Schaal, Auke Jan Ijspeert, 2005, ISRR.

Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems pdf

Jan Peters, Julen Urain, Davide Tateo, 2020, ArXiv.

Natural Evolution Strategies

Tom Schaul, Jan Peters, Daan Wierstra, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Latent space policy search for robotics

Jan Peters, Heni Ben Amor, Gerhard Neumann, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Replanning Policies With Direct Policy Search

Jan Peters, Florian Brandherm, Gerhard Neumann, 2019, IEEE Robotics and Automation Letters.

Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human–Robot Assembly Task

Mohamed Chetouani, Jan Peters, Serena Ivaldi, 2015, Int. J. Soc. Robotics.

Model-based imitation learning by probabilistic trajectory matching

Peter Englert, Jan Peters, Alexandros Paraschos, 2013, 2013 IEEE International Conference on Robotics and Automation.

Towards learning hierarchical skills for multi-phase manipulation tasks

Oliver Kroemer, Jan Peters, Herke van Hoof, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics

Jan Peters, Hany Abdulsamad, Onur Celik, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Assessing Transferability From Simulation to Reality for Reinforcement Learning

Jan Peters, Michael Gienger, Fabio Muratore, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to sequence movement primitives from demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A High-Speed Object Tracker from Off-the-Shelf Components

Christoph H. Lampert, Jan Peters, Jan Peters, 2009, ICCV 2009.

Learning to predict phases of manipulation tasks as hidden states

Oliver Kroemer, Jan Peters, Herke van Hoof, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

MushroomRL: Simplifying Reinforcement Learning Research pdf

Andrea Bonarini, Jan Peters, Marcello Restelli, 2020, J. Mach. Learn. Res..

Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop pdf

Kostas E. Bekris, C. Karen Liu, Ken Goldberg, 2020, ArXiv.

Radial Basis Function Neural Networks

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Self-Paced Contextual Reinforcement Learning pdf

Jan Peters, Hany Abdulsamad, Boris Belousov, 2019, CoRL.

Information Gathering in Decentralized POMDPs by Policy Graph Improvement

Jan Peters, Joni Pajarinen, Mikko Lauri, 2019, AAMAS.

Reinforcement learning in robotics: A survey

Jan Peters, J. Andrew Bagnell, Jens Kober, 2013, Int. J. Robotics Res..

Designing inclusion into engineering education : A fresh, practical look at how diversity impacts on engineering and strategies for change

Jan Peters, Carmen Leicht-Scholten, Anna Bouffier, 2018 .

Seminar in Artificial Intelligence

Yasemin Altun, Jan Peters, Katharina Mülling, 2015 .

Reinforcement Learning for Humanoid Robotics

Stefan Schaal, Sethu Vijayakumar, Jan Peters, 2003 .

Learning Inverse Dynamics: a Comparison

Bernhard Schölkopf, Jan Peters, Duy Nguyen-Tuong, 2008, ESANN.

Learning robot grasping from 3-D images with Markov Random Fields

Oliver Kroemer, Jan Peters, Abdeslam Boularias, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Point cloud completion using extrusions

Oliver Kroemer, Jan Peters, Heni Ben Amor, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

Policy Gradient Methods for Robotics

Stefan Schaal, Jan Peters, Jan Peters, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Local Bayesian Optimization of Motor Skills

Jan Peters, Gerhard Neumann, Riad Akrour, 2017, ICML.

Relative Entropy Policy Search

Yasemin Altun, Jan Peters, Katharina Mülling, 2010 .

A Probabilistic Framework for Imitating Human Race Driver Behavior

Jan Peters, Stefan Löckel, Peter van Vliet, 2020, IEEE Robotics and Automation Letters.

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten

Stefan Schaal, Jan Peters, Jens Kober, 2010 .

Learning grasp affordance densities

Oliver Kroemer, Justus H. Piater, Dirk Kraft, 2011, Paladyn J. Behav. Robotics.

Feedback error learning for rhythmic motor primitives

Jan Peters, Marc Peter Deisenroth, Nakul Gopalan, 2013, 2013 IEEE International Conference on Robotics and Automation.

Policy Search for Path Integral Control

Vicenç Gómez, Hilbert J. Kappen, Jan Peters, 2014, ECML/PKDD.

Machine Learning for motor skills in robotics

Jan Peters, Jan Peters, 2008, Künstliche Intell..

Benchmarking of Policy Gradient Methods

Jan Peters, Jan Peters, 2007 .

A unifying methodology for the control of robotic systems

Jun Nakanishi, Stefan Schaal, Jan Peters, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Visual Representations for Interactive Systems

Oliver Kroemer, Justus H. Piater, Dirk Kraft, 2009, ISRR.

Modeling Opponent Actions for Table-Tennis Playing Robot

Jan Peters, Katharina Mülling, Zhikun Wang, 2011, AAAI.

Learning to Categorize Bug Reports with LSTM Networks

Jan Peters, Elmar Rueckert, K. D. Gondaliya, 2018 .

Probabilistic Approach to Physical Object Disentangling

Jan Peters, Gerhard Neumann, Joni Pajarinen, 2020, IEEE Robotics and Automation Letters.

Generalized Mean Estimation in Monte-Carlo Tree Search pdf

Jan Peters, Joni Pajarinen, Tuan Dam, 2019, IJCAI.

Probabilistic Prioritization of Movement Primitives

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2017, IEEE Robotics and Automation Letters.

A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction

Jan Peters, Philipp Beckerle, Roberto Calandra, 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Grip Stabilization of Novel Objects Using Slip Prediction

Jan Peters, Filipe Veiga, Tucker Hermans, 2018, IEEE Transactions on Haptics.

Towards Universal Human-Machine Interfaces: A real-life Brain-Computer Interface Case Study

T. Hesse, Jan Peters, Philipp Beckerle, 2016 .

Machine Learning for Robotics

Jan Peters, Jan Peters, 2013 .

Sample-based informationl-theoretic stochastic optimal control

Jan Peters, Alexandros Paraschos, Gerhard Neumann, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Stability of Controllers for Gaussian Process Dynamics

Jan Peters, Duy Nguyen-Tuong, Bastian Bischoff, 2017, J. Mach. Learn. Res..

A New Methodology for Robot Controller Design

Stefan Schaal, Jan Peters, Firdaus E. Udwadia, 2005 .

Learning robot in-hand manipulation with tactile features

Jan Peters, Herke van Hoof, Gerhard Neumann, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery

Bernhard Schölkopf, Moritz Grosse-Wentrup, Jan Peters, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control pdf

Jan Peters, Guilherme Maeda, Okan Koc, 2018, ArXiv.

Learning attribute grammars for movement primitive sequencing

Jan Peters, Guilherme Maeda, Filipe Veiga, 2019, Int. J. Robotics Res..

Fitted Q-iteration by Advantage Weighted Regression

Jan Peters, Gerhard Neumann, Jan Peters, 2008, NIPS.

Hierarchical reinforcement learning of multiple grasping strategies with human instructions

Jan Peters, Gerhard Neumann, Takayuki Osa, 2018, Adv. Robotics.

Gaussian process dynamic programming

Carl E. Rasmussen, Jan Peters, Marc Peter Deisenroth, 2009, Neurocomputing.

Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer pdf

Jan Peters, Elmar Rueckert, Daniel Tanneberg, 2019, ArXiv.

Opportunistic mobile air pollution monitoring: A case study with city wardens in Antwerp

Dick Botteldooren, Jan Peters, Bart Elen, 2016, Atmospheric Environment.

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills)

Jan Peters, Jens Kober, Stefan Schaal, 2010, at - Automatisierungstechnik.

Model learning for robot control: a survey

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2011, Cognitive Processing.

Toward fast policy search for learning legged locomotion

Jan Peters, Marc Peter Deisenroth, André Seyfarth, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

An Algorithmic Perspective on Imitation Learning

Pieter Abbeel, Jan Peters, J. Andrew Bagnell, 2018, Found. Trends Robotics.

Simulation of the underactuated Sake Robotics Gripper in V-REP

Jan Peters, Svenja Stark, Elmar Rueckert, 2017 .

An experimental comparison of Bayesian optimization for bipedal locomotion

Jan Peters, Marc Peter Deisenroth, André Seyfarth, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

Heinz Koeppl, Abdelhak M. Zoubir, Jan Peters, 2018, J. Mach. Learn. Res..

Control of Musculoskeletal Systems Using Learned Dynamics Models

Bernhard Schölkopf, Jan Peters, Roberto Calandra, 2018, IEEE Robotics and Automation Letters.

Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning

Stefan Schaal, Jan Peters, Jan Peters, 2007, ESANN.

Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2011, Neural Computation.

Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise

Jan Peters, Marc Peter Deisenroth, Jan Peters, 2012, EWRL 2012.

Utilizing Human Feedback in POMDP Execution and Specification

Jan Peters, Joni Pajarinen, Janine Hoelscher, 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

Learning multiple collaborative tasks with a mixture of Interaction Primitives

Jan Peters, Guilherme Maeda, Heni Ben Amor, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Assisting Movement Training and Execution With Visual and Haptic Feedback

Jan Peters, Josef Wiemeyer, Guilherme Maeda, 2018, Front. Neurorobot..

Learning Continuous Grasp Affordances by Sensorimotor Exploration

Oliver Kroemer, Justus H. Piater, Norbert Krüger, 2010, From Motor Learning to Interaction Learning in Robots.

Skill Learning for Robotics

Jan Peters, Jan Peters, 2010 .

Active Reward Learning

Oliver Kroemer, Jan Peters, Christian Daniel, 2014, Robotics: Science and Systems.

f-Divergence constrained policy improvement pdf

Jan Peters, Boris Belousov, Jan Peters, 2017, ArXiv.

09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments

Oliver Brock, Gordon Cheng, Michael Beetz, 2009, Cognition, Control and Learning for Robot Manipulation in Human Environments.

Natural Actor-Critic

Stefan Schaal, Sethu Vijayakumar, Jan Peters, 2003, Neurocomputing.

Policy gradient methods

Jan Peters, 2010, Scholarpedia.

Constraint-Space Projection Direct Policy Search

Jan Peters, Gerhard Neumann, Riad Akrour, 2018, EWRL 2018.

Using reward-weighted imitation for robot Reinforcement Learning

Jan Peters, Jens Kober, Jan Peters, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

Jan Peters, Daniel Tanneberg, Elmar A. Rückert, 2017, CoRL.

Guiding Trajectory Optimization by Demonstrated Distributions

Jan Peters, Gerhard Neumann, Rustam Stolkin, 2017, IEEE Robotics and Automation Letters.

Policy Search for Motor Primitives

Jan Peters, Jens Kober, Jan Peters, 2009, Künstliche Intell..

Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm

Bernard De Baets, Niko E. C. Verhoest, Jan Peters, 2012, IEEE Transactions on Geoscience and Remote Sensing.

From Motor Learning to Interaction Learning in Robots

Olivier Sigaud, Jan Peters, Jan Peters, 2010, From Motor Learning to Interaction Learning in Robots.

Reinforcement learning by reward-weighted regression for operational space control

Stefan Schaal, Jan Peters, Jan Peters, 2007, ICML '07.

Stabilizing novel objects by learning to predict tactile slip

Jan Peters, Herke van Hoof, Filipe Veiga, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bayesian optimization for learning gaits under uncertainty

Jan Peters, Marc Peter Deisenroth, André Seyfarth, 2015, Annals of Mathematics and Artificial Intelligence.

Reinforcement Learning for Operational Space Control

Stefan Schaal, Jan Peters, Jan Peters, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Christoph H. Lampert, Jan Peters, Jan Peters, 2012, Journal of Real-Time Image Processing.

Learning modular policies for robotics

Jan Peters, Alexandros Paraschos, Christian Daniel, 2014, Front. Comput. Neurosci..

Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems

Kim D. Listmann, Jan Peters, Michael Lutter, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning to select and generalize striking movements in robot table tennis

Oliver Kroemer, Jan Peters, Katharina Mülling, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

Data-efficient Domain Randomization with Bayesian Optimization

Jan Peters, Michael Gienger, Fabio Muratore, 2020 .

Policy Gradient Methods for Robot Control

Stefan Schaal, Sethu Vijayakumar, Jan Peters, 2003 .

A lightweight robotic arm with pneumatic muscles for robot learning

Jan Peters, Dieter Buchler, Heiko Ott, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

Junichiro Yoshimoto, Jan Peters, Kenji Doya, 2010, Neural Computation.

A new trajectory generation framework in robotic table tennis

Jan Peters, Guilherme Maeda, Okan Koc, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Structured Apprenticeship Learning

Oliver Kroemer, Jan Peters, Abdeslam Boularias, 2012, ECML/PKDD.

Active learning using mean shift optimization for robot grasping

Oliver Kroemer, Justus H. Piater, Jan Peters, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Applications for Environmental Sensing in EveryAware

Jan Peters, Martin Becker, Martin Atzmueller, 2017, Participatory Sensing, Opinions and Collective Awareness.

Was ist eine Professur fuer Kuenstliche Intelligenz? pdf

Kristian Kersting, Jan Peters, Constantin A. Rothkopf, 2019, ArXiv.

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives

Jan Peters, Jens Kober, Michael Gienger, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning to Control in Operational Space

Stefan Schaal, Jan Peters, Jan Peters, 2008, Int. J. Robotics Res..

Model Learning with Local Gaussian Process Regression

Jan Peters, Duy Nguyen-Tuong, Matthias W. Seeger, 2009, Adv. Robotics.

A kernel-based approach to direct action perception

Oliver Kroemer, Jan Peters, Emre Ugur, 2012, 2012 IEEE International Conference on Robotics and Automation.

A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control

Stefan Schaal, Auke Jan Ijspeert, Jan Peters, 2003 .

Using Bayesian Dynamical Systems for Motion Template Libraries

Jan Peters, Jens Kober, Silvia Chiappa, 2008, NIPS.

Movement extraction by detecting dynamics switches and repetitions

Jan Peters, Silvia Chiappa, Jan Peters, 2010, NIPS.

Learning task-space tracking control with kernels

Jan Peters, Duy Nguyen-Tuong, Jan Peters, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Solving Deep Memory POMDPs with Recurrent Policy Gradients

Jürgen Schmidhuber, Alexander Förster, Jan Peters, 2007, ICANN.

Learning concurrent motor skills in versatile solution spaces

Jan Peters, Christian Daniel, Gerhard Neumann, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Demonstration based trajectory optimization for generalizable robot motions

Jan Peters, Guilherme Maeda, Gerhard Neumann, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

BIMROB – Bidirectional Interaction Between Human and Robot for the Learning of Movements

Jan Peters, Josef Wiemeyer, Marco Ewerton, 2017 .

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms pdf

Jan Peters, Armin Biess, Binyamin Manela, 2020, ArXiv.

Learning New Basic Movements for Robotics

Jan Peters, Jens Kober, Jan Peters, 2009, AMS.

Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller

Luís Paulo Reis, Nuno Lau, Jan Peters, 2016, J. Intell. Robotic Syst..

Policy Gradients with Parameter-Based Exploration for Control

Frank Sehnke, Christian Osendorfer, Jürgen Schmidhuber, 2008, ICANN.

Assisted teleoperation in changing environments with a mixture of virtual guides

Jan Peters, Marco Ewerton, Oleg Arenz, 2020, Adv. Robotics.

Non-parametric Policy Search with Limited Information Loss

Jan Peters, Herke van Hoof, Gerhard Neumann, 2017, J. Mach. Learn. Res..

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks

Jan Peters, Carlo D'Eramo, Dorothea Koert, 2020, Frontiers in Robotics and AI.

Manifold Gaussian Processes for regression

Carl E. Rasmussen, Jan Peters, Marc Peter Deisenroth, 2014, 2016 International Joint Conference on Neural Networks (IJCNN).

Indirect robot model learning for tracking control

Jan Peters, Lehel Csató, Botond Attila Bócsi, 2014, Adv. Robotics.

Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning pdf

Jan Peters, Carlo D'Eramo, Joni Pajarinen, 2020, ArXiv.

Optimizing the Execution of Dynamic Robot Movements With Learning Control

Jan Peters, Guilherme Maeda, Okan Koç, 2018, IEEE Transactions on Robotics.

Online optimal trajectory generation for robot table tennis

Jan Peters, Guilherme Maeda, Okan Koc, 2018, Robotics Auton. Syst..

Dimensionality Reduction of Movement Primitives in Parameter Space pdf

Jan Peters, Samuele Tosatto, Jonas Stadtmueller, 2020, ArXiv.

Sim2Real in Robotics and Automation: Applications and Challenges

Kostas E. Bekris, C. Karen Liu, Dieter Fox, 2021, IEEE Trans Autom. Sci. Eng..

Robust Value Iteration for Continuous Control Tasks pdf

Shie Mannor, Dieter Fox, Jan Peters, 2021, Robotics: Science and Systems.

Stochastic Control through Approximate Bayesian Input Inference pdf

Jan Peters, Rolf Findeisen, Hany Abdulsamad, 2021, ArXiv.

Reinforcement Learning using Guided Observability pdf

Jan Peters, Joni Pajarinen, Pascal Klink, 2021, ArXiv.

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning pdf

Zhitang Chen, Haitham Bou-Ammar, Jan Peters, 2021, ArXiv.

Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

Aaron M. Dollar, Jan Peters, Carlo D'Eramo, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Robot Reinforcement Learning on the Constraint Manifold

Haitham Bou-Ammar, Jan Peters, Davide Tateo, 2021, CoRL.

Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models pdf

Jan Peters, Michael Lutter, 2021, ArXiv.

A Differentiable Newton-Euler Algorithm for Real-World Robotics pdf

Jan Peters, Michael Lutter, Joe Watson, 2021, ArXiv.

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

Jan Peters, Davide Tateo, Fabio Muratore, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation

Siddhartha S. Srinivasa, Jan Peters, Tapomayukh Bhattacharjee, 2021, IEEE Robotics and Automation Letters.

Building Skill Learning Systems for Robotics

Jan Peters, Debora Clever, Michael Lutter, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

Efficient and Reactive Planning for High Speed Robot Air Hockey

Haitham Bou-Ammar, Jan Peters, Davide Tateo, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

SKID RAW: Skill Discovery From Raw Trajectories

Jan Peters, Kai Ploeger, Elmar Rueckert, 2021, IEEE Robotics and Automation Letters.

Value Iteration in Continuous Actions, States and Time

Shie Mannor, Dieter Fox, Jan Peters, 2021, ICML.

Composable energy policies for reactive motion generation and reinforcement learning pdf

Anqi Li, Jan Peters, Carlo D'Eramo, 2021, Robotics: Science and Systems.

Extended Task and Motion Planning of Long-horizon Robot Manipulation pdf

Jan Peters, Georgia Chalvatzaki, Tianyu Ren, 2021, ArXiv.

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient

Jan Peters, Samuele Tosatto, Joao Carvalho, 2021, IEEE transactions on pattern analysis and machine intelligence.

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

Jan Peters, Joe Watson, Jan Peters, 2021, 2021 American Control Conference (ACC).

Learning Human-like Hand Reaching for Human-Robot Handshaking

Jan Peters, Vignesh Prasad, Ruth Stock-Homburg, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Identification and modelling of race driving styles

Jan Peters, Stefan Löckel, André Kretschi, 2021, Vehicle System Dynamics.

ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition

Jan Peters, Dorothea Koert, Cigdem Turan, 2021, Frontiers in Robotics and AI.

Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions pdf

Jan Peters, Hany Abdulsamad, Boris Belousov, 2021, ArXiv.

Model-Based Reinforcement Learning for Stochastic Hybrid Systems pdf

Jan Peters, Hany Abdulsamad, Jan Peters, 2021, ArXiv.

Human-Robot Handshaking: A Review pdf

Jan Peters, Vignesh Prasad, Ruth Stock-Homburg, 2021, Int. J. Soc. Robotics.

Directed Acyclic Graph Neural Network for Human Motion Prediction

Yong Wang, Jan Peters, Georgia Chalvatzaki, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Stable Vector Fields on Lie Groups pdf

Jan Peters, Julen Urain, Davide Tateo, 2021, ArXiv.

A Robot Cluster for Reproducible Research in Dexterous Manipulation pdf

Siddhartha S. Srinivasa, Jan Peters, Tapomayukh Bhattacharjee, 2021, ArXiv.

Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

Jan Peters, Debora Clever, Florian Stuhlenmiller, 2021, 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Data-Efficient Domain Randomization With Bayesian Optimization

Jan Peters, Michael Gienger, Fabio Muratore, 2020, IEEE Robotics and Automation Letters.

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills

Jan Peters, Georgia Chalvatzaki, Samuele Tosatto, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Robot Learning From Randomized Simulations: A Review pdf

Jan Peters, Greg Turk, Wenhao Yu, 2021, Frontiers in Robotics and AI.

SN 1991bg - A type Ia supernova with a difference

Jan Peters, George Sonneborn, Robert P. Kirshner, 1993 .

Advances in Human-Robot Handshaking pdf

Jan Peters, Vignesh Prasad, Ruth Stock-Homburg, 2020, ICSR.

Cyclist exposure to UFP and BC on urban routes in Antwerp, Belgium

Bernard De Baets, Jan Peters, Martine Van Poppel, 2014 .

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities

Jan Peters, Elmar Rueckert, Jan Peters, 2016 .

Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives

Kristian Kersting, Jan Peters, Guilherme Maeda, 2018 .