Searching a Scalable Approach to Cerebellar Based Control. - Jan Peters 001; Patrick van der Smagt (Appl. Intell., 2002)

Learning Movement Primitives. - Stefan Schaal; Jan Peters 001; Jun Nakanishi; Auke Jan Ijspeert (ISRR, 2003)

Natural Actor-Critic. - Jan Peters 001; Sethu Vijayakumar; Stefan Schaal (ECML, 2005)

Comparative experiments on task space control with redundancy resolution. - Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters 001; Stefan Schaal (IROS, 2005)

A unifying methodology for the control of robotic systems. - Jan Peters 001; Michael N. Mistry; Firdaus E. Udwadia; Rick Cory; Jun Nakanishi; Stefan Schaal (IROS, 2005)

Reinforcement Learning for Parameterized Motor Primitives. - Jan Peters 001; Stefan Schaal (IJCNN, 2006)

Policy Gradient Methods for Robotics. - Jan Peters 001; Stefan Schaal (IROS, 2006)

Learning Operational Space Control. - Jan Peters 001; Stefan Schaal (Robotics: Science and Systems, 2006)

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. - Jo-Anne Ting; Michael N. Mistry; Jan Peters 001; Stefan Schaal; Jun Nakanishi (Robotics: Science and Systems, 2006)

Towards Machine Learning of Motor Skills. - Jan Peters 001; Stefan Schaal; Bernhard Schölkopf (AMS, 2007)

Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. - Jan Peters 001; Stefan Schaal (ESANN, 2007)

Solving Deep Memory POMDPs with Recurrent Policy Gradients. - Daan Wierstra; Alexander Förster; Jan Peters 001; Jürgen Schmidhuber (ICANN (1), 2007)

Reinforcement learning by reward-weighted regression for operational space control. - Jan Peters 001; Stefan Schaal (ICML, 2007)

Policy Learning for Motor Skills. - Jan Peters 001; Stefan Schaal (ICONIP (2), 2007)

Reinforcement Learning for Operational Space Control. - Jan Peters 001; Stefan Schaal (ICRA, 2007)

Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers. - Jun Nakanishi; Michael N. Mistry; Jan Peters 001; Stefan Schaal (IROS, 2007)

Computational Intelligence: Principles, Techniques and Applications. - Jan Peters 001 (Comput. J., 2007)

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. - Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters 001 (AAAI, 2008)

Approximate dynamic programming with Gaussian processes. - Marc Peter Deisenroth; Jan Peters 001; Carl E. Rasmussen (ACC, 2008)

Computed torque control with nonparametric regression models. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (ACC, 2008)

Natural Evolution Strategies. - Daan Wierstra; Tom Schaul; Jan Peters 001; Jürgen Schmidhuber (IEEE Congress on Evolutionary Computation, 2008)

Model-Based Reinforcement Learning with Continuous States and Actions. - Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters 001 (ESANN, 2008)

Learning Inverse Dynamics: a Comparison. - Duy Nguyen-Tuong; Jan Peters 001; Matthias W. Seeger; Bernhard Schölkopf (ESANN, 2008)

Policy Learning - A Unified Perspective with Applications in Robotics. - Jan Peters 001; Jens Kober; Duy Nguyen-Tuong (EWRL, 2008)

Policy Gradients with Parameter-Based Exploration for Control. - Frank Sehnke; Christian Osendorfer; Thomas Rückstieß; Alex Graves; Jan Peters 001; Jürgen Schmidhuber (ICANN (1), 2008)

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. - Daan Wierstra; Tom Schaul; Jan Peters 001; Jürgen Schmidhuber (ICANN (1), 2008)

Real-time learning of resolved velocity control on a Mitsubishi PA-10. - Jan Peters 001; Duy Nguyen-Tuong (ICRA, 2008)

Learning perceptual coupling for motor primitives. - Jens Kober; Betty J. Mohler; Jan Peters 001 (IROS, 2008)

Local Gaussian process regression for real-time model-based robot control. - Duy Nguyen-Tuong; Jan Peters 001 (IROS, 2008)

Using Bayesian Dynamical Systems for Motion Template Libraries. - Silvia Chiappa; Jens Kober; Jan Peters 001 (NIPS, 2008)

Fitted Q-iteration by Advantage Weighted Regression. - Gerhard Neumann; Jan Peters 001 (NIPS, 2008)

Local Gaussian Process Regression for Real Time Online Model Learning. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (NIPS, 2008)

Fitness Expectation Maximization. - Daan Wierstra; Tom Schaul; Jan Peters 001; Jürgen Schmidhuber (PPSN, 2008)

A unifying framework for robot control with redundant DOFs. - Jan Peters 001; Michael N. Mistry; Firdaus E. Udwadia; Jun Nakanishi; Stefan Schaal (Auton. Robots, 2008)

Manifold-valued Thin-Plate Splines with Applications in Computer Graphics. - Florian Steinke; Matthias Hein 001; Jan Peters 001; Bernhard Schölkopf (Comput. Graph. Forum, 2008)

Natural Actor-Critic. - Jan Peters 001; Stefan Schaal (Neurocomputing, 2008)

Operational Space Control: A Theoretical and Empirical Comparison. - Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters 001; Stefan Schaal (Int. J. Robotics Res., 2008)

Learning to Control in Operational Space. - Jan Peters 001; Stefan Schaal (Int. J. Robotics Res., 2008)

Machine Learning for motor skills in robotics. - Jan Peters 001 (Künstliche Intell., 2008)

Reinforcement learning of motor skills with policy gradients. - Jan Peters 001; Stefan Schaal (Neural Networks, 2008)

Efficient data reuse in value function approximation. - Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters 001 (ADPRL, 2009)

Using reward-weighted imitation for robot Reinforcement Learning. - Jan Peters 001; Jens Kober (ADPRL, 2009)

Learning New Basic Movements for Robotics. - Jens Kober; Jan Peters 001 (AMS, 2009)

A Computational Model of Human Table Tennis for Robot Application. - Katharina Mülling; Jan Peters 001 (AMS, 2009)

Active Structured Learning for High-Speed Object Detection. - Christoph H. Lampert; Jan Peters 001 (DAGM-Symposium, 2009)

09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments. - Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters 001 (Cognition, Control and Learning for Robot Manipulation in Human Environments, 2009)

09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments. - Michael Beetz; Oliver Brock; Gordon Cheng; Jan Peters 001 (Cognition, Control and Learning for Robot Manipulation in Human Environments, 2009)

Learning complex motions by sequencing simpler motion templates. - Gerhard Neumann; Wolfgang Maass 001; Jan Peters 001 (ICML, 2009)

Learning motor primitives for robotics. - Jens Kober; Jan Peters 001 (ICRA, 2009)

Active learning using mean shift optimization for robot grasping. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (IROS, 2009)

Sparse online model learning for robot control with support vector regression. - Duy Nguyen-Tuong; Bernhard Schölkopf; Jan Peters 001 (IROS, 2009)

Towards Motor Skill Learning for Robotics. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ISRR, 2009)

Learning Visual Representations for Interactive Systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Krömer; Jan Peters 001 (ISRR, 2009)

Efficient Sample Reuse in EM-Based Policy Search. - Hirotaka Hachiya; Jan Peters 001; Masashi Sugiyama (ECML/PKDD (1), 2009)

Model Learning with Local Gaussian Process Regression. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (Adv. Robotics, 2009)

Guest editorial: Special issue on robot learning, Part A. - Jan Peters 001; Andrew Y. Ng (Auton. Robots, 2009)

Guest editorial: Special issue on robot learning, Part B. - Jan Peters 001; Andrew Y. Ng (Auton. Robots, 2009)

Gaussian process dynamic programming. - Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters 001 (Neurocomputing, 2009)

An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. - Matthew Hoffman 002; Nando de Freitas; Arnaud Doucet; Jan Peters 001 (AISTATS, 2009)

Policy Search for Motor Primitives. - Jens Kober; Jan Peters 001 (Künstliche Intell., 2009)

Adaptive importance sampling for value function approximation in off-policy reinforcement learning. - Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters 001 (Neural Networks, 2009)

Robot learning [TC Spotlight]. - Jan Peters 001; Jun Morimoto; Russ Tedrake; Nicholas Roy (IEEE Robotics Autom. Mag., 2009)

Relative Entropy Policy Search. - Jan Peters 001; Katharina Mülling; Yasemin Altun (AAAI, 2010)

Learning table tennis with a Mixture of Motor Primitives. - Katharina Mülling; Jens Kober; Jan Peters 001 (Humanoids, 2010)

Grasping with Vision Descriptors and Motor Primitives. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (ICINCO (2), 2010)

Movement templates for learning of hitting and batting. - Jens Kober; Katharina Mülling; Oliver Kroemer; Christoph H. Lampert; Bernhard Schölkopf; Jan Peters 001 (ICRA, 2010)

Using model knowledge for learning inverse dynamics. - Duy Nguyen-Tuong; Jan Peters 001 (ICRA, 2010)

Learning probabilistic discriminative models of grasp affordances under limited supervision. - Ayse Erkan; Oliver Kroemer; Renaud Detry; Yasemin Altun; Justus H. Piater; Jan Peters 001 (IROS, 2010)

Experiments with Motor Primitives in Table Tennis. - Jan Peters 001; Katharina Mülling; Jens Kober (ISER, 2010)

Switched Latent Force Models for Movement Segmentation. - Mauricio A. Álvarez; Jan Peters 001; Bernhard Schölkopf; Neil D. Lawrence (NIPS, 2010)

Movement extraction by detecting dynamics switches and repetitions. - Silvia Chiappa; Jan Peters 001 (NIPS, 2010)

Adapting Preshaped Grasping Movements Using Vision Descriptors. - Oliver Krömer; Renaud Detry; Justus H. Piater; Jan Peters 001 (SAB, 2010)

Simulating Human Table Tennis with a Biomimetic Robot Setup. - Katharina Mülling; Jens Kober; Jan Peters 001 (SAB, 2010)

Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery. - Manuel Gomez-Rodriguez; Jan Peters 001; N. Jeremy Hill; Bernhard Schölkopf; Alireza Gharabaghi; Moritz Grosse-Wentrup (SMC, 2010)

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills). - Jan Peters 001; Jens Kober; Stefan Schaal (Autom., 2010)

Recurrent policy gradients. - Daan Wierstra; Alexander Förster; Jan Peters 001; Jürgen Schmidhuber (Log. J. IGPL, 2010)

Incremental Sparsification for Real-time Online Model Learning. - Duy Nguyen-Tuong; Jan Peters 001 (AISTATS, 2010)

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters 001; Kenji Doya (Neural Comput., 2010)

Parameter-exploring policy gradients. - Frank Sehnke; Christian Osendorfer; Thomas Rückstieß; Alex Graves; Jan Peters 001; Jürgen Schmidhuber (Neural Networks, 2010)

Imitation and Reinforcement Learning. - Jens Kober; Jan Peters 001 (IEEE Robotics Autom. Mag., 2010)

Combining active learning and reactive control for robot grasping. - Oliver Kroemer; Renaud Detry; Justus H. Piater; Jan Peters 001 (Robotics Auton. Syst., 2010)

Policy gradient methods. - Jan Peters 001 (Scholarpedia, 2010)

Policy Gradient Methods. - Jan Peters 001; J. Andrew Bagnell (Encyclopedia of Machine Learning, 2010)

Robot Learning. - Jan Peters 001; Russ Tedrake; Nicholas Roy; Jun Morimoto (Encyclopedia of Machine Learning, 2010)

Learning Continuous Grasp Affordances by Sensorimotor Exploration. - Renaud Detry; Emre Baseski; Mila Popovic; Younes Touati; Norbert Krüger; Oliver Kroemer; Jan Peters 001; Justus H. Piater (From Motor Learning to Interaction Learning in Robots, 2010)

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling. - Jens Kober; Betty J. Mohler; Jan Peters 001 (From Motor Learning to Interaction Learning in Robots, 2010)

Real-Time Local GP Model Learning. - Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters 001 (From Motor Learning to Interaction Learning in Robots, 2010)

From Motor Learning to Interaction Learning in Robots. - Olivier Sigaud; Jan Peters 001 (From Motor Learning to Interaction Learning in Robots, 2010)

Balancing Safety and Exploitability in Opponent Modeling. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Jan Peters 001 (AAAI, 2011)

Modeling Opponent Actions for Table-Tennis Playing Robot. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Jan Peters 001 (AAAI, 2011)

Active exploration for robot parameter selection in episodic reinforcement learning. - Oliver Kroemer; Jan Peters 001 (ADPRL, 2011)

A flexible hybrid framework for modeling complex manipulation tasks. - Oliver Kroemer; Jan Peters 001 (ICRA, 2011)

Trajectory planning for optimal robot catching in real-time. - Roberto Lampariello; Duy Nguyen-Tuong; Claudio Castellini; Gerd Hirzinger; Jan Peters 001 (ICRA, 2011)

Reinforcement Learning to Adjust Robot Movements to New Situations. - Jens Kober; Erhan Öztop; Jan Peters 001 (IJCAI, 2011)

Learning inverse kinematics with structured prediction. - Botond Bocsi; Duy Nguyen-Tuong; Lehel Csató; Bernhard Schölkopf; Jan Peters 001 (IROS, 2011)

Learning robot grasping from 3-D images with Markov Random Fields. - Abdeslam Boularias; Oliver Kroemer; Jan Peters 001 (IROS, 2011)

Learning elementary movements jointly with a higher level task. - Jens Kober; Jan Peters 001 (IROS, 2011)

Learning task-space tracking control with kernels. - Duy Nguyen-Tuong; Jan Peters 001 (IROS, 2011)

Learning anticipation policies for robot table tennis. - Zhikun Wang; Christoph H. Lampert; Katharina Mülling; Bernhard Schölkopf; Jan Peters 001 (IROS, 2011)

A Non-Parametric Approach to Dynamic Programming. - Oliver Kroemer; Jan Peters 001 (NIPS, 2011)

A biomimetic approach to robot table tennis. - Katharina Mülling; Jens Kober; Jan Peters 001 (Adapt. Behav., 2011)

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits - Yevgeny Seldin; François Laviolette; John Shawe-Taylor; Jan Peters 001; Peter Auer (CoRR, 2011)

PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off - Yevgeny Seldin; Nicolò Cesa-Bianchi; François Laviolette; Peter Auer; John Shawe-Taylor; Jan Peters 001 (CoRR, 2011)

Model learning for robot control: a survey. - Duy Nguyen-Tuong; Jan Peters 001 (Cogn. Process., 2011)

Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). - Jeremy L. Wyatt; Peter Dayan; Ales Leonardis; Jan Peters 001 (Dagstuhl Reports, 2011)

Incremental online sparsification for model learning in real-time robot control. - Duy Nguyen-Tuong; Jan Peters 001 (Neurocomputing, 2011)

Learning visual representations for perception-action systems. - Justus H. Piater; Sébastien Jodogne; Renaud Detry; Dirk Kraft; Norbert Krüger; Oliver Kroemer; Jan Peters 001 (Int. J. Robotics Res., 2011)

Relative Entropy Inverse Reinforcement Learning. - Abdeslam Boularias; Jens Kober; Jan Peters 001 (AISTATS, 2011)

Policy search for motor primitives in robotics. - Jens Kober; Jan Peters 001 (Mach. Learn., 2011)

Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. - Hirotaka Hachiya; Jan Peters 001; Masashi Sugiyama (Neural Comput., 2011)

Learning grasp affordance densities. - Renaud Detry; Dirk Kraft; Oliver Kroemer; Leon Bodenhagen; Jan Peters 001; Norbert Krüger; Justus H. Piater (Paladyn J. Behav. Robotics, 2011)

Learning Dynamic Tactile Sensing With Robust Vision-Based Training. - Oliver Kroemer; Christoph H. Lampert; Jan Peters 001 (IEEE Trans. Robotics, 2011)

Reinforcement Learning in Robotics: A Survey. - Jens Kober; Jan Peters 001 (Reinforcement Learning, 2012)

Robot Skill Learning. - Jan Peters 001; Katharina Mülling; Jens Kober; Duy Nguyen-Tuong; Oliver Krömer (ECAI, 2012)

Preface. - Marc Peter Deisenroth; Csaba Szepesvári; Jan Peters 001 (EWRL, 2012)

Point cloud completion using extrusions. - Oliver Kroemer; Heni Ben Amor; Marco Ewerton; Jan Peters 001 (Humanoids, 2012)

Learning tracking control with forward models. - Botond Bocsi; Philipp Hennig; Lehel Csató; Jan Peters 001 (ICRA, 2012)

A kernel-based approach to direct action perception. - Oliver Kroemer; Emre Ugur; Erhan Öztop; Jan Peters 001 (ICRA, 2012)

Generalization of human grasping for multi-fingered robot hands. - Heni Ben Amor; Oliver Kroemer; Ulrich Hillenbrand; Gerhard Neumann; Jan Peters 001 (IROS, 2012)

Learning concurrent motor skills in versatile solution spaces. - Christian Daniel; Gerhard Neumann; Jan Peters 001 (IROS, 2012)

Toward fast policy search for learning legged locomotion. - Marc Peter Deisenroth; Roberto Calandra; André Seyfarth; Jan Peters 001 (IROS, 2012)

Maximally informative interaction learning for scene exploration. - Herke van Hoof; Oliver Kroemer; Heni Ben Amor; Jan Peters 001 (IROS, 2012)

Learning throwing and catching skills. - Jens Kober; Katharina Mülling; Jan Peters 001 (IROS, 2012)

A brain-robot interface for studying motor learning after stroke. - Timm Meyer; Jan Peters 001; Doris Brtz; Thorsten O. Zander; Bernhard Schölkopf; Surjo R. Soekadar; Moritz Grosse-Wentrup (IROS, 2012)

Algorithms for Learning Markov Field Policies. - Abdeslam Boularias; Oliver Kroemer; Jan Peters 001 (NIPS, 2012)

Structured Apprenticeship Learning. - Abdeslam Boularias; Oliver Krömer; Jan Peters 001 (ECML/PKDD (2), 2012)

Probabilistic Modeling of Human Movements for Intention Inference. - Zhikun Wang; Marc Peter Deisenroth; Heni Ben Amor; David Vogt; Bernhard Schölkopf; Jan Peters 001 (Robotics: Science and Systems, 2012)

Reinforcement learning to adjust parametrized motor primitives to new situations. - Jens Kober; Andreas Wilhelm; Erhan Öztop; Jan Peters 001 (Auton. Robots, 2012)

Learning Prioritized Control of Motor Primitives - Jens Kober; Jan Peters 001 (CoRR, 2012)

Special issue on "Bio-inspired computing for autonomous vehicles". - Yang Gao; Jan Peters 001; Antonios Tsourdos (Int. J. Intell. Comput. Cybern., 2012)

Hierarchical Relative Entropy Policy Search. - Christian Daniel; Gerhard Neumann; Jan Peters 001 (AISTATS, 2012)

Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. - Christoph H. Lampert; Jan Peters 001 (J. Real Time Image Process., 2012)

Online Kernel-Based Learning for Task-Space Tracking Robot Control. - Duy Nguyen-Tuong; Jan Peters 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Data-Efficient Generalization of Robot Skills with Contextual Policy Search. - Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters 001; Gerhard Neumann (AAAI, 2013)

Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments. - Herke van Hoof; Oliver Kroemer; Jan Peters 001 (Humanoids, 2013)

A probabilistic approach to robot trajectory generation. - Alexandros Paraschos; Gerhard Neumann; Jan Peters 001 (Humanoids, 2013)

Learning sequential motor tasks. - Christian Daniel; Gerhard Neumann; Oliver Kroemer; Jan Peters 001 (ICRA, 2013)

Model-based imitation learning by probabilistic trajectory matching. - Peter Englert; Alexandros Paraschos; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2013)

Feedback error learning for rhythmic motor primitives. - Nakul Gopalan; Marc Peter Deisenroth; Jan Peters 001 (ICRA, 2013)

Alignment-based transfer learning for robot models. - Botond Bocsi; Lehel Csató; Jan Peters 001 (IJCNN, 2013)

Autonomous reinforcement learning with hierarchical REPS. - Christian Daniel; Gerhard Neumann; Jan Peters 001 (IJCNN, 2013)

Learning responsive robot behavior by imitation. - Heni Ben Amor; David Vogt; Marco Ewerton; Erik Berger; Bernhard Jung 001; Jan Peters 001 (IROS, 2013)

Probabilistic Movement Primitives. - Alexandros Paraschos; Christian Daniel; Jan Peters 001; Gerhard Neumann (NIPS, 2013)

Towards Robot Skill Learning: From Simple Skills to Table Tennis. - Jan Peters 001; Jens Kober; Katharina Mülling; Oliver Krömer; Gerhard Neumann (ECML/PKDD (3), 2013)

Probabilistic model-based imitation learning. - Peter Englert; Alexandros Paraschos; Marc Peter Deisenroth; Jan Peters 001 (Adapt. Behav., 2013)

Multi-Task Policy Search. - Marc Peter Deisenroth; Peter Englert; Jan Peters 001; Dieter Fox (CoRR, 2013)

A Survey on Policy Search for Robotics. - Marc Peter Deisenroth; Gerhard Neumann; Jan Peters 001 (Found. Trends Robotics, 2013)

Reinforcement learning in robotics: A survey. - Jens Kober; J. Andrew Bagnell; Jan Peters 001 (Int. J. Robotics Res., 2013)

Learning to select and generalize striking movements in robot table tennis. - Katharina Mülling; Jens Kober; Oliver Kroemer; Jan Peters 001 (Int. J. Robotics Res., 2013)

Probabilistic movement modeling for intention inference in human-robot interaction. - Zhikun Wang; Katharina Mülling; Marc Peter Deisenroth; Heni Ben Amor; David Vogt; Bernhard Schölkopf; Jan Peters 001 (Int. J. Robotics Res., 2013)

Generalizing pouring actions between objects using warped parameters. - Sascha Brandi; Oliver Kroemer; Jan Peters 001 (Humanoids, 2014)

Dimensionality reduction for probabilistic movement primitives. - Adria Colome; Gerhard Neumann; Jan Peters 001; Carme Torras (Humanoids, 2014)

Tools for simulating humanoid robot dynamics: A survey based on user feedback. - Serena Ivaldi; Jan Peters 001; Vincent Padois; Francesco Nori (Humanoids, 2014)

Learning interaction for collaborative tasks with probabilistic movement primitives. - Guilherme Maeda; Marco Ewerton; Rudolf Lioutikov; Heni Ben Amor; Jan Peters 001; Gerhard Neumann (Humanoids, 2014)

Robust policy updates for stochastic optimal control. - Elmar Rueckert; Max Mindt; Jan Peters 001; Gerhard Neumann (Humanoids, 2014)

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. - Rudolf Lioutikov; Oliver Kroemer; Guilherme Maeda; Jan Peters 001 (IAS, 2014)

Omnidirectional Walking with a Compliant Inverted Pendulum Model. - Abbas Abdolmaleki; Nima Shafii; Luís Paulo Reis; Nuno Lau; Jan Peters 001; Gerhard Neumann (IBERAMIA, 2014)

Multi-modal filtering for non-linear estimation. - Sanket Kamthe; Jan Peters 001; Marc Peter Deisenroth (ICASSP, 2014)

Interaction primitives for human-robot cooperation tasks. - Heni Ben Amor; Gerhard Neumann; Sanket Kamthe; Oliver Kroemer; Jan Peters 001 (ICRA, 2014)

Policy search for learning robot control using sparse data. - Bastian Bischoff; Duy Nguyen-Tuong; Herke van Hoof; Andrew McHutchon; Carl E. Rasmussen; Alois C. Knoll; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2014)

An experimental comparison of Bayesian optimization for bipedal locomotion. - Roberto Calandra; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2014)

Multi-task policy search for robotics. - Marc Peter Deisenroth; Peter Englert; Jan Peters 001; Dieter Fox (ICRA, 2014)

Learning to predict phases of manipulation tasks as hidden states. - Oliver Kroemer; Herke van Hoof; Gerhard Neumann; Jan Peters 001 (ICRA, 2014)

Sample-based informationl-theoretic stochastic optimal control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (ICRA, 2014)

Learning robot tactile sensing for object manipulation. - Yevgen Chebotar; Oliver Kroemer; Jan Peters 001 (IROS, 2014)

Predicting object interactions from contact distributions. - Oliver Kroemer; Jan Peters 001 (IROS, 2014)

Latent space policy search for robotics. - Kevin Sebastian Luck; Gerhard Neumann; Erik Berger; Jan Peters 001; Heni Ben Amor (IROS, 2014)

Learning to sequence movement primitives from demonstrations. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (IROS, 2014)

Bayesian Gait Optimization for Bipedal Locomotion. - Roberto Calandra; Nakul Gopalan; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (LION, 2014)

Policy Search for Path Integral Control. - Vicenç Gómez; Hilbert J. Kappen; Jan Peters 001; Gerhard Neumann (ECML/PKDD (1), 2014)

Active Reward Learning. - Christian Daniel; Malte Viering; Jan Metz; Oliver Kroemer; Jan Peters 001 (Robotics: Science and Systems, 2014)

Indirect robot model learning for tracking control. - Botond Attila Bócsi; Lehel Csató; Jan Peters 001 (Adv. Robotics, 2014)

Special issue on autonomous grasping and manipulation. - Heni Ben Amor; Ashutosh Saxena; Nicolas Hudson; Jan Peters 001 (Auton. Robots, 2014)

Learning strategies in table tennis using inverse reinforcement learning. - Katharina Mülling; Abdeslam Boularias; Betty J. Mohler; Bernhard Schölkopf; Jan Peters 001 (Biol. Cybern., 2014)

Learning modular policies for robotics. - Gerhard Neumann; Christian Daniel; Alexandros Paraschos; Andras Gabor Kupcsik; Jan Peters 001 (Frontiers Comput. Neurosci., 2014)

Generalizing Movements with Information-Theoretic Stochastic Optimal Control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (J. Aerosp. Inf. Syst., 2014)

Policy evaluation with temporal differences: a survey and comparison. - Christoph Dann; Gerhard Neumann; Jan Peters 001 (J. Mach. Learn. Res., 2014)

Natural evolution strategies. - Daan Wierstra; Tom Schaul; Tobias Glasmachers; Yi Sun 003; Jan Peters 001; Jürgen Schmidhuber (J. Mach. Learn. Res., 2014)

Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments. - Herke van Hoof; Oliver Kroemer; Jan Peters 001 (IEEE Trans. Robotics, 2014)

Learning Motor Skills - From Algorithms to Robot Experiments - Jens Kober; Jan Peters 001 (Springer, 2014)

Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract). - Christoph Dann; Gerhard Neumann; Jan Peters 001 (ICAPS, 2015)

Learning of Non-Parametric Control Policies with High-Dimensional State Features. - Herke van Hoof; Jan Peters 001; Gerhard Neumann (AISTATS, 2015)

Learning torque control in presence of contacts using tactile sensing from robot skin. - Roberto Calandra; Serena Ivaldi; Marc Peter Deisenroth; Jan Peters 001 (Humanoids, 2015)

First-person tele-operation of a humanoid robot. - Lars Fritsche; Felix Unverzag; Jan Peters 001; Roberto Calandra (Humanoids, 2015)

Evaluation of tactile feature extraction for interactive object recognition. - Janine Hoelscher; Jan Peters 001; Tucker Hermans (Humanoids, 2015)

Learning robot in-hand manipulation with tactile features. - Herke van Hoof; Tucker Hermans; Gerhard Neumann; Jan Peters 001 (Humanoids, 2015)

Optimizing robot striking movement primitives with Iterative Learning Control. - Okan Koc; Guilherme Maeda; Gerhard Neumann; Jan Peters 001 (Humanoids, 2015)

A comparison of contact distribution representations for learning to predict object interactions. - Simon Leischnig; Stefan Luettgen; Oliver Kroemer; Jan Peters 001 (Humanoids, 2015)

Probabilistic segmentation applied to an assembly task. - Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters 001 (Humanoids, 2015)

Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller. - Abbas Abdolmaleki; Nuno Lau; Luís Paulo Reis; Jan Peters 001; Gerhard Neumann (ICARSC, 2015)

Learning inverse dynamics models with contacts. - Roberto Calandra; Serena Ivaldi; Marc Peter Deisenroth; Elmar Rueckert; Jan Peters 001 (ICRA, 2015)

Learning multiple collaborative tasks with a mixture of Interaction Primitives. - Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Heni Ben Amor; Jan Peters 001; Guilherme Maeda (ICRA, 2015)

Towards learning hierarchical skills for multi-phase manipulation tasks. - Oliver Kroemer; Christian Daniel; Gerhard Neumann; Herke van Hoof; Jan Peters 001 (ICRA, 2015)

Extracting low-dimensional control variables for movement primitives. - Elmar Rueckert; Jan Mundo; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (ICRA, 2015)

Learning motor skills from partially observed movements executed at different speeds. - Marco Ewerton; Guilherme Maeda; Jan Peters 001; Gerhard Neumann (IROS, 2015)

Learning optimal striking points for a ping-pong playing robot. - Yanlong Huang; Bernhard Schölkopf; Jan Peters 001 (IROS, 2015)

Probabilistic progress prediction and sequencing of concurrent movement primitives. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (IROS, 2015)

Model-free Probabilistic Movement Primitives for physical interaction. - Alexandros Paraschos; Elmar Rueckert; Jan Peters 001; Gerhard Neumann (IROS, 2015)

Reinforcement learning vs human programming in tetherball robot games. - Simone Parisi; Hany Abdulsamad; Alexandros Paraschos; Christian Daniel; Jan Peters 001 (IROS, 2015)

Stabilizing novel objects by learning to predict tactile slip. - Filipe Veiga; Herke van Hoof; Jan Peters 001; Tucker Hermans (IROS, 2015)

Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills. - Arne Wahrburg; Stefan Zeiss; Bjoern Matthias; Jan Peters 001; Hao Ding 001 (IROS, 2015)

A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation. - Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Jan Peters 001 (ISRR (2), 2015)

Model-Based Relative Entropy Stochastic Search. - Abbas Abdolmaleki; Rudolf Lioutikov; Jan Peters 001; Nuno Lau; Luís Paulo Reis; Gerhard Neumann (NIPS, 2015)

Active reward learning with a novel acquisition function. - Christian Daniel; Oliver Kroemer; Malte Viering; Jan Metz; Jan Peters 001 (Auton. Robots, 2015)

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. - Serena Ivaldi; Sébastien Lefort; Jan Peters 001; Mohamed Chetouani; Joelle Provasi; Elisabetta Zibetti (CoRR, 2015)

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. - Elmar Rueckert; Rudolf Lioutikov; Roberto Calandra; Marius Schmidt; Philipp Beckerle; Jan Peters 001 (CoRR, 2015)

Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411). - Jan Peters 001; Justus H. Piater; Robert Platt Jr. 001; Siddhartha S. Srinivasa (Dagstuhl Reports, 2015)

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations. - Simon Manschitz; Jens Kober; Michael Gienger; Jan Peters 001 (Robotics Auton. Syst., 2015)

Anticipative Interaction Primitives for Human-Robot Collaboration. - Guilherme Maeda; Aayush Maloo; Marco Ewerton; Rudolf Lioutikov; Jan Peters 001 (AAAI Fall Symposia, 2016)

Incremental imitation learning of context-dependent motor skills. - Marco Ewerton; Guilherme Maeda; Gerrit Kollegger; Josef Wiemeyer; Jan Peters 001 (Humanoids, 2016)

Using probabilistic movement primitives for striking movements. - Sebastián Gómez-González; Gerhard Neumann; Bernhard Schölkopf; Jan Peters 001 (Humanoids, 2016)

Jointly learning trajectory generation and hitting point prediction in robot table tennis. - Yanlong Huang; Dieter Buchler; Okan Koc; Bernhard Schölkopf; Jan Peters 001 (Humanoids, 2016)

Demonstration based trajectory optimization for generalizable robot motions. - Dorothea Koert; Guilherme Maeda; Rudolf Lioutikov; Gerhard Neumann; Jan Peters 001 (Humanoids, 2016)

Deep spiking networks for model-based planning in humanoids. - Daniel Tanneberg; Alexandros Paraschos; Jan Peters 001; Elmar Rueckert (Humanoids, 2016)

Stability of Controllers for Gaussian Process Forward Models. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Anne Romer; Henner Schmidt; Jan Peters 001 (ICML, 2016)

A lightweight robotic arm with pneumatic muscles for robot learning. - Dieter Buchler; Heiko Ott; Jan Peters 001 (ICRA, 2016)

Movement primitives with multiple phase parameters. - Marco Ewerton; Guilherme Maeda; Gerhard Neumann; Viktor Kisner; Gerrit Kollegger; Josef Wiemeyer; Jan Peters 001 (ICRA, 2016)

Learning soft task priorities for control of redundant robots. - Valerio Modugno; Gerhard Neumann; Elmar Rueckert; Giuseppe Oriolo; Jan Peters 001; Serena Ivaldi (ICRA, 2016)

Manifold Gaussian Processes for regression. - Roberto Calandra; Jan Peters 001; Carl Edward Rasmussen; Marc Peter Deisenroth (IJCNN, 2016)

Stable reinforcement learning with autoencoders for tactile and visual data. - Herke van Hoof; Nutan Chen; Maximilian Karl; Patrick van der Smagt; Jan Peters 001 (IROS, 2016)

A new trajectory generation framework in robotic table tennis. - Okan Koc; Guilherme Maeda; Jan Peters 001 (IROS, 2016)

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (IROS, 2016)

Active tactile object exploration with Gaussian processes. - Zhengkun Yi; Roberto Calandra; Filipe Veiga; Herke van Hoof; Tucker Hermans; Yilei Zhang; Jan Peters 001 (IROS, 2016)

Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies. - Takayuki Osa; Jan Peters 001; Gerhard Neumann (ISER, 2016)

Catching heuristics are optimal control policies. - Boris Belousov; Gerhard Neumann; Constantin A. Rothkopf; Jan Peters 001 (NIPS, 2016)

A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. - Paul Weber; Elmar Rueckert; Roberto Calandra; Jan Peters 001; Philipp Beckerle (RO-MAN, 2016)

Multi-task logistic regression in brain-computer interfaces. - Karl-Heinz Fiebig; Vinay Jayaram; Jan Peters 001; Moritz Grosse-Wentrup (SMC, 2016)

Local-utopia policy selection for multi-objective reinforcement learning. - Simone Parisi; Alexander Blank; Tobias Viernickel; Jan Peters 001 (SSCI, 2016)

Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. - Roberto Calandra; André Seyfarth; Jan Peters 001; Marc Peter Deisenroth (Ann. Math. Artif. Intell., 2016)

Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? - Filipe Veiga; Jan Peters 001 (CoRR, 2016)

Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller. - Abbas Abdolmaleki; Nuno Lau; Luís Paulo Reis; Jan Peters 001; Gerhard Neumann (J. Intell. Robotic Syst., 2016)

Hierarchical Relative Entropy Policy Search. - Christian Daniel; Gerhard Neumann; Oliver Kroemer; Jan Peters 001 (J. Mach. Learn. Res., 2016)

Probabilistic inference for determining options in reinforcement learning. - Christian Daniel; Herke van Hoof; Jan Peters 001; Gerhard Neumann (Mach. Learn., 2016)

Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. - Guilherme Maeda; Marco Ewerton; Dorothea Koert; Jan Peters 001 (IEEE Robotics Autom. Lett., 2016)

Robot Learning. - Jan Peters 001; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal (Springer Handbook of Robotics, 2nd Ed., 2016)

Policy Search with High-Dimensional Context Variables. - Voot Tangkaratt; Herke van Hoof; Simone Parisi; Gerhard Neumann; Jan Peters 001; Masashi Sugiyama (AAAI, 2017)

State-Regularized Policy Search for Linearized Dynamical Systems. - Hany Abdulsamad; Oleg Arenz; Jan Peters 001; Gerhard Neumann (ICAPS, 2017)

Active Incremental Learning of Robot Movement Primitives. - Guilherme Maeda; Marco Ewerton; Takayuki Osa; Baptiste Busch; Jan Peters 001 (CoRL, 2017)

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. - Daniel Tanneberg; Jan Peters 001; Elmar Rueckert (CoRL, 2017)

Bayesian Regression for Artifact correction in Electroencephalography. - Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters 001; Moritz Grosse-Wentrup (GBCIC, 2017)

Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces. - Lukas Großberger; Matthias R. Hohmann; Jan Peters 001; Moritz Grosse-Wentrup (GBCIC, 2017)

Learning inverse dynamics models in O(n) time with LSTM networks. - Elmar Rueckert; Moritz Nakatenus; Samuele Tosatto; Jan Peters 001 (Humanoids, 2017)

A comparison of distance measures for learning nonparametric motor skill libraries. - Svenja Stark; Jan Peters 001; Elmar Rueckert (Humanoids, 2017)

Efficient online adaptation with stochastic recurrent neural networks. - Daniel Tanneberg; Jan Peters 001; Elmar Rueckert (Humanoids, 2017)

Local Bayesian Optimization of Motor Skills. - Riad Akrour; Dmitry Sorokin; Jan Peters 001; Gerhard Neumann (ICML, 2017)

A learning-based shared control architecture for interactive task execution. - Firas Abi-Farraj; Takayuki Osa; Nicolo Pedemonte; Jan Peters 001; Gerhard Neumann; Paolo Robuffo Giordano (ICRA, 2017)

Layered direct policy search for learning hierarchical skills. - Felix End; Riad Akrour; Jan Peters 001; Gerhard Neumann (ICRA, 2017)

Empowered skills. - Alexander Gabriel; Riad Akrour; Jan Peters 001; Gerhard Neumann (ICRA, 2017)

Context-driven movement primitive adaptation. - Daniel Wilbers; Rudolf Lioutikov; Jan Peters 001 (ICRA, 2017)

Hybrid control trajectory optimization under uncertainty. - Joni Pajarinen; Ville Kyrki; Michael C. Koval; Siddhartha S. Srinivasa; Jan Peters 001; Gerhard Neumann (IROS, 2017)

Goal-driven dimensionality reduction for reinforcement learning. - Simone Parisi; Simon Ramstedt; Jan Peters 001 (IROS, 2017)

Model-based contextual policy search for data-efficient generalization of robot skills. - Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters 001; Ai Poh Loh; Prahlad Vadakkepat; Gerhard Neumann (Artif. Intell., 2017)

Anticipatory action selection for human-robot table tennis. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Bernhard Schölkopf; Jan Peters 001 (Artif. Intell., 2017)

Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks. - Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters 001 (Auton. Robots, 2017)

Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives. - Oriane Dermy; Alexandros Paraschos; Marco Ewerton; Jan Peters 001; François Charpillet; Serena Ivaldi (Frontiers Robotics AI, 2017)

Manifold-based multi-objective policy search with sample reuse. - Simone Parisi; Matteo Pirotta; Jan Peters 001 (Neurocomputing, 2017)

Learning movement primitive libraries through probabilistic segmentation. - Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters 001 (Int. J. Robotics Res., 2017)

Phase estimation for fast action recognition and trajectory generation in human-robot collaboration. - Guilherme Maeda; Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Jan Peters 001 (Int. J. Robotics Res., 2017)

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 - Experiments with the iCub humanoid. - Serena Ivaldi; Sébastien Lefort; Jan Peters 001; Mohamed Chetouani; Joelle Provasi; Elisabetta Zibetti (Int. J. Soc. Robotics, 2017)

Non-parametric Policy Search with Limited Information Loss. - Herke van Hoof; Gerhard Neumann; Jan Peters 001 (J. Mach. Learn. Res., 2017)

Stability of Controllers for Gaussian Process Dynamics. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Jan Peters 001 (J. Mach. Learn. Res., 2017)

Generalized exploration in policy search. - Herke van Hoof; Daniel Tanneberg; Jan Peters 001 (Mach. Learn., 2017)

A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses. - Oliver Kroemer; Jan Peters 001 (IEEE Robotics Autom. Lett., 2017)

Guiding Trajectory Optimization by Demonstrated Distributions. - Takayuki Osa; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin; Rudolf Lioutikov; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2017)

Probabilistic Prioritization of Movement Primitives. - Alexandros Paraschos; Rudolf Lioutikov; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2017)

Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project. - Vincent Padois; Serena Ivaldi; Jan Babic; Michael N. Mistry; Jan Peters 001; Francesco Nori (Robotics Auton. Syst., 2017)

Policy Gradient Methods. - Jan Peters 001; J. Andrew Bagnell (Encyclopedia of Machine Learning and Data Mining, 2017)

Robot Learning. - Jan Peters 001; Russ Tedrake; Nick Roy; Jun Morimoto (Encyclopedia of Machine Learning and Data Mining, 2017)

Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. - Fabio Muratore; Felix Treede; Michael Gienger; Jan Peters 001 (CoRL, 2018)

Utilizing Human Feedback in POMDP Execution and Specification. - Janine Hoelscher; Dorothea Koert; Jan Peters 001; Joni Pajarinen (Humanoids, 2018)

Online Learning of an Open-Ended Skill Library for Collaborative Tasks. - Dorothea Koert; Susanne Trick; Marco Ewerton; Michael Lutter; Jan Peters 001 (Humanoids, 2018)

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. - Paavo Parmas; Carl Edward Rasmussen; Jan Peters 001; Kenji Doya (ICML, 2018)

Learning Coupled Forward-Inverse Models with Combined Prediction Errors. - Dorothea Koert; Guilherme Maeda; Gerhard Neumann; Jan Peters 001 (ICRA, 2018)

Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. - Rudolf Lioutikov; Guilherme Maeda; Filipe Veiga; Kristian Kersting; Jan Peters 001 (ICRA, 2018)

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. - Robert Pinsler; Riad Akrour; Takayuki Osa; Jan Peters 001; Gerhard Neumann (ICRA, 2018)

Regularizing Reinforcement Learning with State Abstraction. - Riad Akrour; Filipe Veiga; Jan Peters 001; Gerhard Neumann (IROS, 2018)

Hierarchical reinforcement learning of multiple grasping strategies with human instructions. - Takayuki Osa; Jan Peters 001; Gerhard Neumann (Adv. Robotics, 2018)

Probabilistic movement primitives under unknown system dynamics. - Alexandros Paraschos; Elmar Rueckert; Jan Peters 001; Gerhard Neumann (Adv. Robotics, 2018)

A kernel-based approach to learning contact distributions for robot manipulation tasks. - Oliver Kroemer; Simon Leischnig; Stefan Luettgen; Jan Peters 001 (Auton. Robots, 2018)

Using probabilistic movement primitives in robotics. - Alexandros Paraschos; Christian Daniel; Jan Peters 001; Gerhard Neumann (Auton. Robots, 2018)

f-Divergence constrained policy improvement. - Boris Belousov; Jan Peters 001 (CoRR, 2018)

In-Hand Object Stabilization by Independent Finger Control. - Filipe Veiga; Benoni B. Edin; Jan Peters 001 (CoRR, 2018)

Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. - Okan Koc; Guilherme Maeda; Jan Peters 001 (CoRR, 2018)

Assisting Movement Training and Execution With Visual and Haptic Feedback. - Marco Ewerton; David Rother; Jakob Weimar; Gerrit Kollegger; Josef Wiemeyer; Jan Peters 001; Guilherme Maeda (Frontiers Neurorobotics, 2018)

An Algorithmic Perspective on Imitation Learning. - Takayuki Osa; Joni Pajarinen; Gerhard Neumann; J. Andrew Bagnell; Pieter Abbeel; Jan Peters 001 (Found. Trends Robotics, 2018)

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. - Riad Akrour; Abbas Abdolmaleki; Hany Abdulsamad; Jan Peters 001; Gerhard Neumann (J. Mach. Learn. Res., 2018)

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. - Adrian Sosic; Elmar Rueckert; Jan Peters 001; Abdelhak M. Zoubir; Heinz Koeppl (J. Mach. Learn. Res., 2018)

Control of Musculoskeletal Systems Using Learned Dynamics Models. - Dieter Buchler; Roberto Calandra; Bernhard Schölkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

Approximate Value Iteration Based on Numerical Quadrature. - Julia Vinogradska; Bastian Bischoff; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

Online optimal trajectory generation for robot table tennis. - Okan Koc; Guilherme Maeda; Jan Peters 001 (Robotics Auton. Syst., 2018)

Grip Stabilization of Novel Objects Using Slip Prediction. - Filipe Veiga; Jan Peters 001; Tucker Hermans (IEEE Trans. Haptics, 2018)

Information Gathering in Decentralized POMDPs by Policy Graph Improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (AAMAS, 2019)

Self-Paced Contextual Reinforcement Learning. - Pascal Klink; Hany Abdulsamad; Boris Belousov; Jan Peters 001 (CoRL, 2019)

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. - Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters 001 (CoRL, 2019)

Receding Horizon Curiosity. - Matthias Schultheis; Boris Belousov; Hany Abdulsamad; Jan Peters 001 (CoRL, 2019)

Stochastic Optimal Control as Approximate Input Inference. - Joe Watson; Hany Abdulsamad; Jan Peters 001 (CoRL, 2019)

Building a Library of Tactile Skills Based on FingerVision. - Boris Belousov; Alymbek Sadybakasov; Bastian Wibranek; Filipe Veiga; Oliver Tessmann; Jan Peters 001 (Humanoids, 2019)

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. - Michael Lutter; Christian Ritter; Jan Peters 001 (ICLR (Poster), 2019)

Projections for Approximate Policy Iteration Algorithms. - Riad Akrour; Joni Pajarinen; Jan Peters 001; Gerhard Neumann (ICML, 2019)

Switching Linear Dynamics for Variational Bayes Filtering. - Philip Becker-Ehmck; Jan Peters 001; Patrick van der Smagt (ICML, 2019)

Exploration Driven by an Optimistic Bellman Equation. - Samuele Tosatto; Carlo D'Eramo; Joni Pajarinen; Marcello Restelli; Jan Peters 001 (IJCNN, 2019)

Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. - Onur Celik; Hany Abdulsamad; Jan Peters 001 (IROS, 2019)

Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. - Marco Ewerton; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters 001 (IROS, 2019)

Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm*. - Zinan Liu; Arne Hitzmann; Shuhei Ikemoto; Svenja Stark; Jan Peters 001; Koh Hosoda (IROS, 2019)

Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. - Michael Lutter; Kim Listmann; Jan Peters 001 (IROS, 2019)

Entropic Risk Measure in Policy Search. - David Nass; Boris Belousov; Jan Peters 001 (IROS, 2019)

Experience Reuse with Probabilistic Movement Primitives. - Svenja Stark; Jan Peters 001; Elmar Rueckert (IROS, 2019)

Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. - Susanne Trick; Dorothea Koert; Jan Peters 001; Constantin A. Rothkopf (IROS, 2019)

Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories. - Julen Urain; Jan Peters 001 (IROS, 2019)

Neural Signatures of Motor Skill in the Resting Brain. - Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters 001; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup (SMC, 2019)

Bayesian Online Detection and Prediction of Change Points. - Diego Agudelo-España; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters 001 (CoRR, 2019)

Was ist eine Professur fuer Kuenstliche Intelligenz? - Kristian Kersting; Jan Peters 001; Constantin A. Rothkopf (CoRR, 2019)

Learning walk and trot from the same objective using different types of exploration. - Zinan Liu; Kai Ploeger; Svenja Stark; Elmar Rueckert; Jan Peters 001 (CoRR, 2019)

Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm. - Zinan Liu; Arne Hitzmann; Shuhei Ikemoto; Svenja Stark; Jan Peters 001; Koh Hosoda (CoRR, 2019)

Model-based Lookahead Reinforcement Learning. - Zhang-Wei Hong; Joni Pajarinen; Jan Peters 001 (CoRR, 2019)

Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. - Daniel Tanneberg; Elmar Rueckert; Jan Peters 001 (CoRR, 2019)

Entropic Regularization of Markov Decision Processes. - Boris Belousov; Jan Peters 001 (Entropy, 2019)

How Cognitive Models of Human Body Experience Might Push Robotics. - Tim Schürmann; Betty J. Mohler; Jan Peters 001; Philipp Beckerle (Frontiers Neurorobotics, 2019)

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. - Marco Ewerton; Oleg Arenz; Guilherme Maeda; Dorothea Koert; Zlatko Kolev; Masaki Takahashi; Jan Peters 001 (Frontiers Robotics AI, 2019)

Reinforcement learning of motor skills using Policy Search and human corrective advice. - Carlos Celemin; Guilherme Maeda; Javier Ruiz-del-Solar; Jan Peters 001; Jens Kober (Int. J. Robotics Res., 2019)

Compatible natural gradient policy search. - Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters 001; Gerhard Neumann (Mach. Learn., 2019)

TD-regularized actor-critic methods. - Simone Parisi; Voot Tangkaratt; Jan Peters 001; Mohammad Emtiyaz Khan (Mach. Learn., 2019)

Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. - Daniel Tanneberg; Jan Peters 001; Elmar Rueckert (Neural Networks, 2019)

Learning Replanning Policies With Direct Policy Search. - Florian Brandherm; Jan Peters 001; Gerhard Neumann; Riad Akrour (IEEE Robotics Autom. Lett., 2019)

Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework. - Okan Koc; Jan Peters 001 (IEEE Robotics Autom. Lett., 2019)

Learning Intention Aware Online Adaptation of Movement Primitives. - Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2019)

Reliable Real-Time Ball Tracking for Robot Table Tennis. - Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters 001 (Robotics, 2019)

Optimizing the Execution of Dynamic Robot Movements With Learning Control. - Okan Koc; Guilherme Maeda; Jan Peters 001 (IEEE Trans. Robotics, 2019)

A Nonparametric Off-Policy Policy Gradient. - Samuele Tosatto; João Carvalho; Hany Abdulsamad; Jan Peters 001 (AISTATS, 2020)

High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. - Kai Ploeger; Michael Lutter; Jan Peters 001 (CoRL, 2020)

Evaluation of the Handshake Turing Test for anthropomorphic Robots. - Ruth Stock-Homburg; Jan Peters 001; Katharina Schneider; Vignesh Prasad; Lejla Nukovic (HRI (Companion), 2020)

Sharing Knowledge in Multi-Task Deep Reinforcement Learning. - Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters 001 (ICLR, 2020)

Underactuated Waypoint Trajectory Optimization for Light Painting Photography. - Christian Eilers; Jonas Eschmann; Robin Menzenbach; Boris Belousov; Fabio Muratore; Jan Peters 001 (ICRA, 2020)

Learning Control Policies from Optimal Trajectories. - Christoph Zelch; Jan Peters 001; Oskar von Stryk (ICRA, 2020)

Generalized Mean Estimation in Monte-Carlo Tree Search. - Tuan Dam; Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (IJCAI, 2020)

Model-Based Quality-Diversity Search for Efficient Robot Learning. - Leon Keller; Daniel Tanneberg; Svenja Stark; Jan Peters 001 (IROS, 2020)

Deep Adversarial Reinforcement Learning for Object Disentangling. - Melvin Laux; Oleg Arenz; Jan Peters 001; Joni Pajarinen (IROS, 2020)

Learning Hierarchical Acquisition Functions for Bayesian Optimization. - Nils Rottmann; Tjasa Kunavar; Jan Babic; Jan Peters 001; Elmar Rueckert (IROS, 2020)

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows. - Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters 001 (IROS, 2020)

Redundancy resolution under hard joint constraints: a generalized approach to rank updates. - Anton Ziese; Mario Daniele Fiore; Jan Peters 001; Uwe E. Zimmermann; Jürgen Adamy (IROS, 2020)

Decentralized Data-Driven Tuning of Droop Frequency Controllers. - Allan Almeida Santos; Edwin Mora; Jan Peters 001; Florian Steinke (ISGT-Europe, 2020)

Active Inference or Control as Inference? A Unifying View. - Abraham Imohiosen; Joe Watson; Jan Peters 001 (IWAI, 2020)

Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. - Hany Abdulsamad; Jan Peters 001 (L4DC, 2020)

Self-Paced Deep Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (NeurIPS, 2020)

Advances in Human-Robot Handshaking. - Vignesh Prasad; Ruth Stock-Homburg; Jan Peters 001 (ICSR, 2020)

Bayesian Online Prediction of Change Points. - Diego Agudelo-España; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters 001 (UAI, 2020)

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (Auton. Agents Multi Agent Syst., 2020)

Assisted teleoperation in changing environments with a mixture of virtual guides. - Marco Ewerton; Oleg Arenz; Jan Peters 001 (Adv. Robotics, 2020)

A Nonparametric Offpolicy Policy Gradient. - Samuele Tosatto; João Carvalho; Hany Abdulsamad; Jan Peters 001 (CoRR, 2020)

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. - Samuele Tosatto; Riad Akrour; Jan Peters 001 (CoRR, 2020)

Bayesian Domain Randomization for Sim-to-Real Transfer. - Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters 001 (CoRR, 2020)

Dimensionality Reduction of Movement Primitives in Parameter Space. - Samuele Tosatto; Jonas Stadtmueller; Jan Peters 001 (CoRR, 2020)

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms. - Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters 001; Armin Biess (CoRR, 2020)

Learning to Fly via Deep Model-Based Reinforcement Learning. - Philip Becker-Ehmck; Maximilian Karl; Jan Peters 001; Patrick van der Smagt (CoRR, 2020)

Deep Reinforcement Learning with Weighted Q-Learning. - Andrea Cini; Carlo D'Eramo; Jan Peters 001; Cesare Alippi (CoRR, 2020)

Orientation Attentive Robot Grasp Synthesis. - Nikolaos Gkanatsios; Georgia Chalvatzaki; Petros Maragos; Jan Peters 001 (CoRR, 2020)

Reinforcement Learning from a Mixture of Interpretable Experts. - Riad Akrour; Davide Tateo; Jan Peters 001 (CoRR, 2020)

Deterministic Inference of Neural Stochastic Differential Equations. - Andreas Look; Chen Qiu 001; Maja Rudolph; Jan Peters 001; Melih Kandemir (CoRR, 2020)

Differentiable Implicit Layers. - Andreas Look; Simona Doneva; Melih Kandemir; Rainer Gemulla; Jan Peters 001 (CoRR, 2020)

A Differentiable Newton Euler Algorithm for Multi-body Model Learning. - Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters 001 (CoRR, 2020)

Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop. - Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa Higuera; Florian Golemo; Melissa Mozifian; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters 001; et al. (CoRR, 2020)

Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems. - Julen Urain; Davide Tateo; Tianyu Ren; Jan Peters 001 (CoRR, 2020)

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. - Dorothea Koert; Maximilian Kircher; Vildan Salikutluk; Carlo D'Eramo; Jan Peters 001 (Frontiers Robotics AI, 2020)

Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks. - Filipe Veiga; Riad Akrour; Jan Peters 001 (Frontiers Robotics AI, 2020)

Incremental Learning of an Open-Ended Collaborative Skill Library. - Dorothea Koert; Susanne Trick; Marco Ewerton; Michael Lutter; Jan Peters 001 (Int. J. Humanoid Robotics, 2020)

Learning attribute grammars for movement primitive sequencing. - Rudolf Lioutikov; Guilherme Maeda; Filipe Veiga; Kristian Kersting; Jan Peters 001 (Int. J. Robotics Res., 2020)

Evolutionary training and abstraction yields algorithmic generalization of neural computers. - Daniel Tanneberg; Elmar Rueckert; Jan Peters 001 (Nat. Mach. Intell., 2020)

Numerical Quadrature for Probabilistic Policy Search. - Julia Vinogradska; Bastian Bischoff; Jan Achterhold; Torsten Koller; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Real Time Trajectory Prediction Using Deep Conditional Generative Models. - Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2020)

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. - Mikko Lauri; Joni Pajarinen; Jan Peters 001; Simone Frintrop (IEEE Robotics Autom. Lett., 2020)

A Probabilistic Framework for Imitating Human Race Driver Behavior. - Stefan Löckel; Jan Peters 001; Peter van Vliet (IEEE Robotics Autom. Lett., 2020)

Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives. - Kurena Motokura; Masaki Takahashi; Marco Ewerton; Jan Peters 001 (IEEE Robotics Autom. Lett., 2020)

Probabilistic Approach to Physical Object Disentangling. - Joni Pajarinen; Oleg Arenz; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2020)

Learning Sequential Force Interaction Skills. - Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters 001 (Robotics, 2020)

Grip Stabilization through Independent Finger Tactile Feedback Control. - Filipe Veiga; Benoni B. Edin; Jan Peters 001 (Sensors, 2020)

Adaptation and Robust Learning of Probabilistic Movement Primitives. - Sebastián Gómez-González; Gerhard Neumann; Bernhard Schölkopf; Jan Peters 001 (IEEE Trans. Robotics, 2020)

Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System. - Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters 001 (AIM, 2021)

Latent Derivative Bayesian Last Layer Networks. - Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters 001 (AISTATS, 2021)

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. - Joe Watson; Jan Peters 001 (ACC, 2021)

Building Skill Learning Systems for Robotics. - Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters 001 (CASE, 2021)

Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction. - Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters 001 (CoRL, 2021)

Robot Reinforcement Learning on the Constraint Manifold. - Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters 001 (CoRL, 2021)

Neural Posterior Domain Randomization. - Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters 001 (CoRL, 2021)

Convex Regularization in Monte-Carlo Tree Search. - Tuan Dam; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICML, 2021)

Value Iteration in Continuous Actions, States and Time. - Michael Lutter; Shie Mannor; Jan Peters 001; Dieter Fox; Animesh Garg (ICML, 2021)

A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. - Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters 001 (ICRA, 2021)

Directed Acyclic Graph Neural Network for Human Motion Prediction. - Qin Li 012; Georgia Chalvatzaki; Jan Peters 001; Yong Wang 002 (ICRA, 2021)

Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. - Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters 001 (ICRA, 2021)

Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. - Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters 001 (ICRA, 2021)

Learning Human-like Hand Reaching for Human-Robot Handshaking. - Vignesh Prasad; Ruth Stock-Homburg; Jan Peters 001 (ICRA, 2021)

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. - Samuele Tosatto; Georgia Chalvatzaki; Jan Peters 001 (ICRA, 2021)

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. - João Carvalho; Davide Tateo; Fabio Muratore; Jan Peters 001 (IJCNN, 2021)

Efficient and Reactive Planning for High Speed Robot Air Hockey. - Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters 001 (IROS, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

Robust Value Iteration for Continuous Control Tasks. - Michael Lutter; Shie Mannor; Jan Peters 001; Dieter Fox; Animesh Garg (Robotics: Science and Systems, 2021)

Extended Task and Motion Planning of Long-horizon Robot Manipulation. - Tianyu Ren; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2021)

Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions. - Hany Abdulsamad; Tim Dorau; Boris Belousov; Jia-Jie Zhu; Jan Peters 001 (CoRR, 2021)

Reinforcement Learning using Guided Observability. - Stephan Weigand; Pascal Klink; Jan Peters 001; Joni Pajarinen (CoRR, 2021)

Stochastic Control through Approximate Bayesian Input Inference. - Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters 001 (CoRR, 2021)

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. - Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2021)

A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters 001; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang 005; Matthew R. Walter; et al. (CoRR, 2021)

A Differentiable Newton-Euler Algorithm for Real-World Robotics. - Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters 001 (CoRR, 2021)

Model-Based Reinforcement Learning for Stochastic Hybrid Systems. - Hany Abdulsamad; Jan Peters 001 (CoRR, 2021)

Distilled Domain Randomization. - Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters 001 (CoRR, 2021)

ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. - Niyati Rawal; Dorothea Koert; Cigdem Turan; Kristian Kersting; Jan Peters 001; Ruth Stock-Homburg (Frontiers Robotics AI, 2021)

Gaussian Approximation for Bias Reduction in Q-Learning. - Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters 001; Marcello Restelli (J. Mach. Learn. Res., 2021)

MushroomRL: Simplifying Reinforcement Learning Research. - Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters 001 (J. Mach. Learn. Res., 2021)

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. - Pascal Klink; Hany Abdulsamad; Boris Belousov; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (J. Mach. Learn. Res., 2021)

Convex optimization with an interpolation-based projection and its application to deep learning. - Riad Akrour; Asma Atamna; Jan Peters 001 (Mach. Learn., 2021)

Assessing Transferability From Simulation to Reality for Reinforcement Learning. - Fabio Muratore; Michael Gienger; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Data-Efficient Domain Randomization With Bayesian Optimization. - Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters 001 (IEEE Robotics Autom. Lett., 2021)

SKID RAW: Skill Discovery From Raw Trajectories. - Daniel Tanneberg; Kai Ploeger; Elmar Rueckert; Jan Peters 001 (IEEE Robotics Autom. Lett., 2021)

Sim2Real in Robotics and Automation: Applications and Challenges. - Sebastian Höfer; Kostas E. Bekris; Ankur Handa; Juan Camilo Gamboa; Melissa Mozifian; Florian Golemo; Christopher G. Atkeson; Dieter Fox; Ken Goldberg; John Leonard; C. Karen Liu; Jan Peters 001; et al. (IEEE Trans Autom. Sci. Eng., 2021)

ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics. - Samuel Bustamante; Jan Peters 001; Bernhard Schölkopf; Moritz Grosse-Wentrup; Vinay Jayaram (IEEE Trans. Hum. Mach. Syst., 2021)

Dimensionality Reduction and Prioritized Exploration for Policy Search. - Marius Memmel; Puze Liu; Davide Tateo; Jan Peters 001 (AISTATS, 2022)

Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. - Joe Watson; Jan Peters 001 (CoRL, 2022)

Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. - João Carvalho; Dorothea Koert; Marek Daniv; Jan Peters 001 (Humanoids, 2022)

Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking. - Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters 001 (Humanoids, 2022)

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. - Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (Humanoids, 2022)

Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. - Jonathan Vorndamme; João Carvalho; Riddhiman Laha; Dorothea Koert; Luis F. C. Figueredo; Jan Peters 001; Sami Haddadin (Humanoids, 2022)

Boosted Curriculum Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICLR, 2022)

Curriculum Reinforcement Learning via Constrained Optimal Transport. - Pascal Klink; Haoyi Yang; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICML, 2022)

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery. - Niklas Funk; Svenja Menzenbach; Georgia Chalvatzaki; Jan Peters 001 (IROS, 2022)

Regularized Deep Signed Distance Fields for Reactive Motion Generation. - Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Jan Peters 001; Georgia Chalvatzaki (IROS, 2022)

Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. - Kai Ploeger; Jan Peters 001 (IROS, 2022)

Active Exploration for Robotic Manipulation. - Tim Schneider; Boris Belousov; Georgia Chalvatzaki; Diego Romeres; Devesh K. Jha; Jan Peters 001 (IROS, 2022)

Learning Implicit Priors for Motion Optimization. - Julen Urain; An T. Le 001; Alexander Lambert; Georgia Chalvatzaki; Byron Boots; Jan Peters 001 (IROS, 2022)

Information-Theoretic Safe Exploration with Gaussian Processes. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (NeurIPS, 2022)

A Semantic Enhancement of Unified Geometric Representations for Improving Indoor Visual SLAM. - Ioannis Asmanis; Panagiotis Mermigkas; Georgia Chalvatzaki; Jan Peters 001; Petros Maragos (UR, 2022)

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. - Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (Algorithms, 2022)

Learning Geometric Constraints in Task and Motion Planning. - Tianyu Ren; Alexander Imani Cowen-Rivers; Haitham Bou-Ammar; Jan Peters 001 (CoRR, 2022)

An Analysis of Measure-Valued Derivatives for Policy Gradients. - João Carvalho; Jan Peters 001 (CoRR, 2022)

Residual Robot Learning for Object-Centric Probabilistic Movement Primitives. - João Carvalho; Dorothea Koert; Marek Daniv; Jan Peters 001 (CoRR, 2022)

A Hierarchical Approach to Active Pose Estimation. - Jascha Hellwig; Mark Baierl; João Carvalho; Julen Urain; Jan Peters 001 (CoRR, 2022)

Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking. - Lei Xu; Tianyu Ren; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2022)

Revisiting Model-based Value Expansion. - Daniel Palenicek; Michael Lutter; Jan Peters 001 (CoRR, 2022)

Active Inference for Robotic Manipulation. - Tim Schneider; Boris Belousov; Hany Abdulsamad; Jan Peters 001 (CoRR, 2022)

Structured Q-learning For Antibody Design. - Alexander I. Cowen-Rivers; Philip John Gorinski; Aivar Sootla; Asif Khan 008; Furui Liu; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2022)

Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning. - Bang You; Jingming Xie; Youping Chen; Jan Peters 001; Oleg Arenz (CoRR, 2022)

Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. - Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters 001 (CoRR, 2022)

How Crucial is Transformer in Decision Transformer? - Max Siebenborn; Boris Belousov; Junning Huang; Jan Peters 001 (CoRR, 2022)

PAC-Bayesian lifelong learning for multi-armed bandits. - Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters 001 (Data Min. Knowl. Discov., 2022)

Robot Learning From Randomized Simulations: A Review. - Fabio Muratore; Fabio Ramos 001; Greg Turk; Wenhao Yu 003; Michael Gienger; Jan Peters 001 (Frontiers Robotics AI, 2022)

Integrating contrastive learning with dynamic models for reinforcement learning from images. - Bang You; Oleg Arenz; Youping Chen; Jan Peters 001 (Neurocomputing, 2022)

Human-Robot Handshaking: A Review. - Vignesh Prasad; Ruth Stock-Homburg; Jan Peters 001 (Int. J. Soc. Robotics, 2022)

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. - Alexander I. Cowen-Rivers; Wenlong Lyu; Rasul Tutunov; Zhi Wang 001; Antoine Grosnit; Ryan-Rhys Griffiths; Alexandre Max Maraval; Jianye Hao; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (J. Artif. Intell. Res., 2022)

Robust Reinforcement Learning: A Review of Foundations and Recent Advances. - Janosch Moos; Kay Hansel; Hany Abdulsamad; Svenja Stark; Debora Clever; Jan Peters 001 (Mach. Learn. Knowl. Extr., 2022)

Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. - Riad Akrour; Davide Tateo; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient. - Samuele Tosatto; João Carvalho; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Monte-Carlo Robot Path Planning. - Tuan Dam; Georgia Chalvatzaki; Jan Peters 001; Joni Pajarinen (IEEE Robotics Autom. Lett., 2022)

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. - Niklas Funk; Charles B. Schaff; Rishabh Madan; Takuma Yoneda; Julen Urain De Jesus; Joe Watson; Ethan K. Gordon; Felix Widmaier; Stefan Bauer; Siddhartha S. Srinivasa; Tapomayukh Bhattacharjee; Matthew R. Walter; et al. (IEEE Robotics Autom. Lett., 2022)

Robot Learning of Mobile Manipulation With Reachability Behavior Priors. - Snehal Jauhri; Jan Peters 001; Georgia Chalvatzaki (IEEE Robotics Autom. Lett., 2022)

Learning Stable Vector Fields on Lie Groups. - Julen Urain; Davide Tateo; Jan Peters 001 (IEEE Robotics Autom. Lett., 2022)

Learning to Play Table Tennis From Scratch Using Muscular Robots. - Dieter Büchler; Simon Guist; Roberto Calandra; Vincent Berenz; Bernhard Schölkopf; Jan Peters 001 (IEEE Trans. Robotics, 2022)

Autonomous Learning of Page Flipping Movements via Tactile Feedback. - Yi Zheng; Filipe Veiga; Jan Peters 001; Veronica J. Santos (IEEE Trans. Robotics, 2022)

Model-Based Uncertainty in Value Functions. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (AISTATS, 2023)

Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation. - Yaonan Zhu; Shukrullo Nazirjonov; Bingheng Jiang; Jacinto Colan; Tadayoshi Aoyama; Yasuhisa Hasegawa; Boris Belousov; Kay Hansel; Jan Peters 001 (CBS, 2023)

Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. - David Rother; Thomas H. Weisswange; Jan Peters 001 (ECAI, 2023)

Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features. - Christoph Zelch; Jan Peters 001; Oskar von Stryk (Humanoids, 2023)

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. - Firas Al-Hafez; Davide Tateo; Oleg Arenz; Guoping Zhao; Jan Peters 001 (ICLR, 2023)

Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. - Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters 001 (ICLR, 2023)

Hierarchical Policy Blending as Inference for Reactive Robot Control. - Kay Hansel; Julen Urain; Jan Peters 001; Georgia Chalvatzaki (ICRA, 2023)

Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction. - Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Zhiyuan Hu; Jan Peters 001; Georgia Chalvatzaki (ICRA, 2023)

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion. - Julen Urain; Niklas Funk; Jan Peters 001; Georgia Chalvatzaki (ICRA, 2023)

Start State Selection for Control Policy Learning from Optimal Trajectories. - Christoph Zelch; Jan Peters 001; Oskar von Stryk (ICRA, 2023)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. - João Carvalho; An T. Le 001; Mark Baierl; Dorothea Koert; Jan Peters 001 (IROS, 2023)

Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing. - Luca Lach; Niklas Funk; Robert Haschke; Séverin Lemaignan; Helge Joachim Ritter; Jan Peters 001; Georgia Chalvatzaki (IROS, 2023)

Hierarchical Policy Blending As Optimal Transport. - An T. Le 001; Kay Hansel; Jan Peters 001; Georgia Chalvatzaki (L4DC, 2023)

Accelerating Motion Planning via Optimal Transport. - An T. Le 001; Georgia Chalvatzaki; Armin Biess; Jan Peters 001 (NeurIPS, 2023)

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures. - Hamish Flynn; David Reeb; Melih Kandemir; Jan R. Peters (NeurIPS, 2023)

Pseudo-Likelihood Inference. - Theo Gruner; Boris Belousov; Fabio Muratore; Daniel Palenicek; Jan R. Peters (NeurIPS, 2023)

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Yaodong Yang 001; Jan Peters 001; Alois C. Knoll (CoRR, 2023)

Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. - Johanna Bethge; Maik Pfefferkorn; Alexander Rose 002; Jan Peters 001; Rolf Findeisen (CoRR, 2023)

Function-Space Regularization for Deep Bayesian Classification. - Jihao Andreas Lin; Joe Watson; Pascal Klink; Jan Peters 001 (CoRR, 2023)

Value-Distributional Model-Based Reinforcement Learning. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Sampling-Free Probabilistic Deep State-Space Models. - Andreas Look; Melih Kandemir; Barbara Rakitsch; Jan Peters 001 (CoRR, 2023)

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning. - Pascal Klink; Florian Wolf; Kai Ploeger; Jan Peters 001; Joni Pajarinen (CoRR, 2023)

LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion. - Firas Al-Hafez; Guoping Zhao; Jan Peters 001; Davide Tateo (CoRR, 2023)

Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot. - Luca Lach; Robert Haschke; Davide Tateo; Jan Peters 001; Helge J. Ritter; Júlia Borràs Sol; Carme Torras (CoRR, 2023)

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. - Dieter Büchler; Roberto Calandra; Jan Peters 001 (Robotics Auton. Syst., 2023)

Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems. - Andreas Look; Barbara Rakitsch; Melih Kandemir; Jan Peters 001 (Trans. Mach. Learn. Res., 2023)

Combining physics and deep learning to learn continuous-time dynamics models. - Michael Lutter; Jan Peters 001 (Int. J. Robotics Res., 2023)

Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators. - Filip Bjelonic; Joonho Lee; Philip Arm; Dhionis V. Sako; Davide Tateo; Jan Peters 001; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2023)

A Deterministic Approximation to Neural SDEs. - Andreas Look; Melih Kandemir; Barbara Rakitsch; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continuous-Time Fitted Value Iteration for Robust Policies. - Michael Lutter; Boris Belousov; Shie Mannor; Dieter Fox; Animesh Garg; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A human-centered safe robot reinforcement learning framework with interactive behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Jan Peters 001; Alois Knoll (Frontiers Neurorobotics, 2023)

Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning. - Siwei Ju; Peter van Vliet; Oleg Arenz; Jan Peters 001 (IEEE Robotics Autom. Lett., 2023)

Composable energy policies for reactive motion generation and reinforcement learning. - Julen Urain; Anqi Li 001; Puze Liu; Carlo D'Eramo; Jan Peters 001 (Int. J. Robotics Res., 2023)

An Adaptive Human Driver Model for Realistic Race Car Simulations. - Stefan Löckel; Siwei Ju; Maximilian Schaller; Peter van Vliet; Jan Peters 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. - Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. - Cedric Derstroff; Mattia Cerrato; Jannis Brugger; Jan Peters 001; Stefan Kramer 001 (AAAI, 2024)

Parameterized Projected Bellman Operator. - Théo Vincent; Alberto Maria Metelli; Boris Belousov; Jan Peters 001; Marcello Restelli; Carlo D'Eramo (AAAI, 2024)

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. - Duy Minh Ho Nguyen; An Thai Le 001; Trung Quoc Nguyen; Nghiem Tuong Diep; Tai Nguyen 008; Duy Duong-Tran; Jan Peters 001; Li Shen 001; Mathias Niepert; Daniel Sonntag (ACML, 2024)

One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. - Nico Bohlinger; Grzegorz Czechmanowski; Maciej Piotr Krupka; Piotr Kicki; Krzysztof Walas; Jan Peters 001; Davide Tateo (CoRL, 2024)

Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. - Jonas Günster; Puze Liu; Jan Peters 001; Davide Tateo (CoRL, 2024)

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. - Piotr Kicki; Davide Tateo; Puze Liu; Jonas Günster; Jan Peters 001; Krzysztof Walas (CoRL, 2024)

PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations. - Cheng Qian; Julen Urain; Kevin Zakka; Jan Peters 001 (CoRL, 2024)

FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation. - Guillaume Duret; Mahmoud Ali; Nicolas Cazin; Danylo Mazurak; Anna Samsonenko; Alexandre Chapin; Florence Zara; Emmanuel Dellandréa; Liming Chen 002; Jan Peters 001 (ECCV Workshops (1), 2024)

Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. - Philipp Holzmann; Maik Pfefferkorn; Jan Peters 001; Rolf Findeisen (ECC, 2024)

Task-Adapted Single-Finger Explorations of Complex Objects. - Lisa Pui Yee Lin; Alina Böhm; Boris Belousov; Alap Kshirsagar; Tim Schneider; Jan Peters 001; Katja Doerschner; Knut Drewing (EuroHaptics (1), 2024)

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. - Yasemin Göksu; Antonio De Almeida Correia; Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Jan Peters 001; Georgia Chalvatzaki (HRI (Companion), 2024)

Transition State Clustering for Interaction Segmentation and Learning. - Fabian Hahne; Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Ruth Maria Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (HRI (Companion), 2024)

Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion. - Henri-Jacques Geiß; Firas Al-Hafez; André Seyfarth; Jan Peters 001; Davide Tateo (Humanoids, 2024)

Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation. - Paul Jansonnie; Bingbing Wu; Julien Perez; Jan Peters 001 (Humanoids, 2024)

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. - Aditya Bhatt 001; Daniel Palenicek; Boris Belousov; Max Argus; Artemij Amiranashvili; Thomas Brox; Jan Peters 001 (ICLR, 2024)

Time-Efficient Reinforcement Learning with Stochastic Stateful Policies. - Firas Al-Hafez; Guoping Zhao; Jan Peters 001; Davide Tateo (ICLR, 2024)

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. - Ahmed Hendawy; Jan Peters 001; Carlo D'Eramo (ICLR, 2024)

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. - Aryaman Reddi; Maximilian Tölle; Jan Peters 001; Georgia Chalvatzaki; Carlo D'Eramo (ICLR, 2024)

Domain Randomization via Entropy Maximization. - Gabriele Tiboni; Pascal Klink; Jan Peters 001; Tatiana Tommasi; Carlo D'Eramo; Georgia Chalvatzaki (ICLR, 2024)

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. - Duy Minh Ho Nguyen; Nina Lukashina; Tai Nguyen 008; An T. Le 001; TrungTin Nguyen; Nhat Ho; Jan Peters 001; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert (ICML, 2024)

What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. - Alina Böhm; Tim Schneider; Boris Belousov; Alap Kshirsagar; Lisa Pui Yee Lin; Katja Doerschner; Knut Drewing; Constantin A. Rothkopf; Jan Peters 001 (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Théo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; et al. (IJCAI, 2024)

Beyond the Cascade: Juggling Vanilla Siteswap Patterns. - Mario Gomez Andreu; Kai Ploeger; Jan Peters 001 (IROS, 2024)

Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. - Luca Lach; Robert Haschke; Davide Tateo; Jan Peters 001; Helge J. Ritter; Júlia Borràs Sol; Carme Torras (IROS, 2024)

Extended Tree Search for Robot Task and Motion Planning. - Tianyu Ren; Georgia Chalvatzaki; Jan Peters 001 (IROS, 2024)

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. - Puze Liu; Jonas Günster; Niklas Funk; Simon Gröger; Dong Chen; Haitham Bou-Ammar; Julius Jankowski; Ante Maric; Sylvain Calinon; Andrej Orsula; Miguel S. Olivares-Méndez; Hongyi Zhou; et al. (NeurIPS, 2024)

A Holistic Concept on AI Assistance for Robot-Supported Reconnaissance and Mitigation of Acute Radiation Hazard Situations. - Kevin Daun; Frederik Bark; Davide Tateo; Jan Peters 001; Johannes Heinlein; Janine Wendt; Nils Heidemann; Ivana Kruijff-Korbayová; Stefan Kohlbrecher; Jens Friedrich; Désirée Martin; Michael W. Schmidt; et al. (SSRR, 2024)

Information-Theoretic Safe Bayesian Optimization. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2024)

Iterated Q-Network: Beyond the One-Step Bellman Operator. - Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters 001; Carlo D'Eramo (CoRR, 2024)

Integrating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation. - Noah Becker; Erik Gattung; Kay Hansel; Tim Schneider; Yaonan Zhu; Yasuhisa Hasegawa; Jan Peters 001 (CoRR, 2024)

Learning Tactile Insertion in the Real World. - Daniel Palenicek; Theo Gruner; Tim Schneider; Alina Böhm; Janis Lenz; Inga Pfenning; Eric Krämer; Jan Peters 001 (CoRR, 2024)

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. - Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; et al. (CoRR, 2024)

Energy-based Contact Planning under Uncertainty for Robot Air Hockey. - Julius Jankowski; Ante Maric; Puze Liu; Davide Tateo; Jan Peters 001; Sylvain Calinon (CoRR, 2024)

MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench. - Moritz Meser; Aditya Bhatt 001; Boris Belousov; Jan Peters 001 (CoRR, 2024)

Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. - Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching. - Niklas Funk; Julen Urain; Joao Carvalho; Vignesh Prasad; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

Velocity-History-Based Soft Actor-Critic Tackling IROS'24 Competition "AI Olympics with RealAIGym". - Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Boris Belousov; Jan Peters 001 (CoRR, 2024)

Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks. - Janis Lenz; Theo Gruner; Daniel Palenicek; Tim Schneider; Jan Peters 001 (CoRR, 2024)

The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control. - Oleg Kaidanov; Firas Al-Hafez; Yusuf Suvari; Boris Belousov; Jan Peters 001 (CoRR, 2024)

Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis. - Erik Helmut; Luca Dziarski; Niklas Funk; Boris Belousov; Jan Peters 001 (CoRR, 2024)

TacEx: GelSight Tactile Simulation in Isaac Sim - Combining Soft-Body and Visuotactile Simulators. - Duc Huy Nguyen; Tim Schneider; Guillaume Duret; Alap Kshirsagar; Boris Belousov; Jan R. Peters (CoRR, 2024)

Global Tensor Motion Planning. - An T. Le 001; Kay Hansel; João Carvalho; Joe Watson; Julen Urain; Armin Biess; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models. - Christian Möller; Niklas Funk; Jan Peters 001 (CoRR, 2024)

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3. - Joao Carvalho; An T. Le 001; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters 001 (CoRR, 2024)

Fast and Robust Visuomotor Riemannian Flow Matching Policy. - Haoran Ding; Noémie Jaquier; Jan Peters 001; Leonel Rozo (CoRR, 2024)

Diminishing Return of Value Expansion Methods. - Daniel Palenicek; Michael Lutter; João Carvalho; Daniel Dennert; Faran Ahmad; Jan Peters 001 (CoRR, 2024)

A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. - Tuan Dam; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (J. Artif. Intell. Res., 2024)

Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. - Niklas Funk; Erik Helmut; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (IEEE Trans. Robotics, 2024)

Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks. - Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters 001 (IEEE Trans. Robotics, 2024)

Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. - Hany Abdulsamad; Peter Nickl; Pascal Klink; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. - Vignesh Prasad; Alap Kshirsagar; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (IEEE Robotics Autom. Lett., 2024)

Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning. - Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters 001; Toshihiro Maki (J. Field Robotics, 2024)

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. - Michael Drolet; Simon Stepputtis; Siva Kailas; Ajinkya Jain; Jan Peters 001; Stefan Schaal; Heni Ben Amor (IEEE Robotics Autom. Lett., 2024)

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Safe and Efficient Path Planning Under Uncertainty via Deep Collision Probability Fields. - Felix Herrmann; Sebastian Zach; Jacopo Banfi; Jan Peters 001; Georgia Chalvatzaki; Davide Tateo (IEEE Robotics Autom. Lett., 2024)

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. - Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters 001 (ICLR, 2025)

Inverse decision-making using neural amortized Bayesian actors. - Dominik Straub; Tobias F. Niehues; Jan Peters 001; Constantin A. Rothkopf (ICLR, 2025)

Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. - Théo Vincent; Fabian Wahren; Jan Peters 001; Boris Belousov; Carlo D'Eramo (ICLR, 2025)

ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds. - Shangding Gu; Puze Liu; Alap Kshirsagar; Guang Chen 001; Jan Peters 001; Alois Knoll (IEEE Trans Autom. Sci. Eng., 2025)

Model Tensor Planning. - An Thai Le 001; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)

Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning. - Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters 001; Carlo D'Eramo (Trans. Mach. Learn. Res., 2025)

Machine Learning with Physics Knowledge for Prediction: A Survey. - Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le 001; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; et al. (Trans. Mach. Learn. Res., 2025)

Rollout Total Correlation for Deep Reinforcement Learning. - Bang You; Huaping Liu; Jan Peters 001; Oleg Arenz (Trans. Mach. Learn. Res., 2025)

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models. - João Carvalho; An T. Le 001; Piotr Kicki; Dorothea Koert; Jan Peters 001 (IEEE Trans. Robotics, 2025)

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. - Puze Liu; Haitham Bou-Ammar; Jan Peters 001; Davide Tateo (IEEE Trans. Robotics, 2025)

Learning Multimodal Latent Dynamics for Human-Robot Interaction. - Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters 001; Georgia Chalvatzaki (IEEE Trans. Robotics, 2025)

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning. - Onur Celik; Zechu Li; Denis Blessing; Ge Li; Daniel Palanicek; Jan Peters 001; Georgia Chalvatzaki; Gerhard Neumann (CoRR, 2025)

Stable Port-Hamiltonian Neural Networks. - Fabian J. Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters 001; Oliver Weeger (CoRR, 2025)

Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization. - Daniel Palenicek; Florian Vogt; Jan Peters 001 (CoRR, 2025)

Massively Scaling Explicit Policy-conditioned Value Functions. - Nico Bohlinger; Jan Peters 001 (CoRR, 2025)

Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning. - Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters 001; Carlo D'Eramo (CoRR, 2025)

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. - Khang Nguyen 003; An T. Le 001; Tien Pham; Manfred Huber; Jan Peters 001; Minh Nhat Vu (CoRR, 2025)

Towards Safe Robot Foundation Models. - Maximilian Tölle; Theo Gruner; Daniel Palenicek; Jonas Günster; Puze Liu; Joe Watson; Davide Tateo; Jan Peters 001 (CoRR, 2025)

Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. - Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters 001 (CoRR, 2025)

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; et al. (CoRR, 2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning. - Leon Keller; Daniel Tanneberg; Jan Peters 001 (CoRR, 2025)

Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators. - Junning Huang; Davide Tateo; Puze Liu; Jan Peters 001 (IEEE Robotics Autom. Lett., 2025)

Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference. - Jiayun Li; Kay Pompetzki; An T. Le 001; Haolei Tong; Jan Peters 001; Georgia Chalvatzaki (CoRR, 2025)

On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. - Niklas Funk; Changqi Chen; Tim Schneider; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (CoRR, 2025)

Robust Localization, Mapping, and Navigation for Quadruped Robots. - Dyuman Aditya; Junning Huang; Nico Bohlinger; Piotr Kicki; Krzysztof Walas; Jan Peters 001; Matteo Luperto; Davide Tateo (CoRR, 2025)

Towards Embodiment Scaling Laws in Robot Locomotion. - Bo Ai 008; Liu Dai; Nico Bohlinger; Dichen Li; Tongzhou Mu; Zhanxin Wu; K. Fay; Henrik I. Christensen; Jan Peters 001; Hao Su 001 (CoRR, 2025)

Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach. - Tim Schneider; Cristiana de Farias; Roberto Calandra; Liming Chen 002; Jan Peters 001 (CoRR, 2025)

Towards Safe Robot Foundation Models Using Inductive Biases. - Maximilian Tölle; Theo Gruner; Daniel Palenicek; Tim Schneider; Jonas Günster; Joe Watson; Davide Tateo; Puze Liu; Jan Peters 001 (CoRR, 2025)

Investigating Active Sampling for Hardness Classification with Vision-Based Tactile Sensors. - Junyi Chen; Alap Kshirsagar; Frederik Heller; Mario Gomez Andreu; Boris Belousov; Tim Schneider; Lisa Pui Yee Lin; Katja Doerschner; Knut Drewing; Jan Peters 001 (CoRR, 2025)

LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution. - Claudius Kienle; Benjamin Alt; Oleg Arenz; Jan Peters 001 (CoRR, 2025)

TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. - Khang Nguyen 003; Khai Nguyen; An T. Le 001; Jan Peters 001; Manfred Huber; Ngo Anh Vien; Minh Nhat Vu (CoRR, 2025)

Maximum Total Correlation Reinforcement Learning. - Bang You; Puze Liu; Huaping Liu; Jan Peters 001; Oleg Arenz (CoRR, 2025)

Deep Reinforcement Learning Agents are not even close to Human Intelligence. - Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters 001; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2025)

Entropy based blending of policies for multi-agent coexistence. - David Rother; Franziska Herbert; Fabian Kalter; Dorothea Koert; Joni Pajarinen; Jan Peters 001; Thomas H. Weisswange (Auton. Agents Multi Agent Syst., 2025)

Scaling CrossQ with Weight Normalization. - Daniel Palenicek; Florian Vogt; Jan Peters 001 (CoRR, 2025)

Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning. - Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters 001; Carlo D'Eramo (CoRR, 2025)

Tactile MNIST: Benchmarking Active Tactile Perception. - Tim Schneider; Guillaume Duret; Cristiana de Farias; Roberto Calandra; Liming Chen 002; Jan Peters 001 (CoRR, 2025)

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning. - Octavio Arriaga; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters 001; Frank Kirchner (CoRR, 2025)

In-Hand Object Pose Estimation via Visual-Tactile Fusion. - Felix Nonnengießer; Alap Kshirsagar; Boris Belousov; Jan Peters 001 (CoRR, 2025)

DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. - Khang Nguyen 003; An T. Le 001; Jan Peters 001; Minh Nhat Vu (CoRR, 2025)

Context-Aware Deep Lagrangian Networks for Model Predictive Control. - Lucas Schulze; Jan Peters 001; Oleg Arenz (CoRR, 2025)

Ark: An Open-source Python-based Framework for Robot Learning. - Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Jan Peters 001; Xingyue Quan; Jun Wang 012; et al. (CoRR, 2025)

Global Tensor Motion Planning. - An T. Le 001; Kay Pompetzki; João Carvalho; Joe Watson; Julen Urain; Armin Biess; Georgia Chalvatzaki; Jan Peters 001 (IEEE Robotics Autom. Lett., 2025)