Liu, Yuxi ; Belousov, Boris ; Funk, Niklas ; Chalvatzaki, Georgia ; Peters, Jan ; Tessmann, Oliver
Correia, António Gomes ; Azenha, Miguel ; Cruz, Paulo J.S. ; Novais, Paulo ; Pereira, Paulo (eds.) (2023):
Auto(mated)nomous Assembly.
In: Lecture Notes in Civil Engineering, 306, In: Trends on Construction in the Digital Era. Proceedings of ISIC 2022, pp. 167-181,
Springer, International Conference on Trends on Construction in the Post-Digital Era, Guimarães, Portugal, 06.-09.09.2022, ISBN 978-3-031-20241-4,
DOI: 10.1007/978-3-031-20241-4_12,
[Conference or Workshop Item]

Belousov, Boris ; Wibranek, Bastian ; Schneider, Jan ; Schneider, Tim ; Chalvatzaki, Georgia ; Peters, Jan ; Tessmann, Oliver (2022):
Robotic architectural assembly with tactile skills: Simulation and optimization.
133, In: Automation in Construction, 133, Elsevier, ISSN 0926-5805,
DOI: 10.1016/j.autcon.2021.104006,
[Article]

Ewerton, Marco ; Arenz, Oleg ; Peters, Jan (2022):
Assisted teleoperation in changing environments with a mixture of virtual guides. (Postprint)
In: Advanced Robotics, 34 (18), pp. 1157-1170. Taylor & Francis, ISSN 0169-1864, e-ISSN 1568-5535,
DOI: 10.26083/tuprints-00023003,
[Article]

Belousov, Boris ; Neumann, Gerhard ; Rothkopf, Constantin A. ; Peters, Jan (2022):
Catching heuristics are optimal control policies. (Publisher's Version)
In: Advances in Neural Information Processing Systems 29 : 30th Annual Conference on Neural Information Processing Systems 2016, Volume 3, pp. 1434-1442,
Darmstadt, Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, 05.-10.12.2016, ISBN 978-1-5108-3881-9,
DOI: 10.26083/tuprints-00020556,
[Conference or Workshop Item]

Pajarinen, Joni ; Thai, Hong Linh ; Akrour, Riad ; Peters, Jan ; Neumann, Gerhard (2022):
Compatible natural gradient policy search. (Publisher's Version)
In: Machine Learning, 108 (8-9), pp. 1443-1466. Springer, ISSN 0885-6125, e-ISSN 1573-0565,
DOI: 10.26083/tuprints-00020531,
[Article]

Laux, Melvin ; Arenz, Oleg ; Peters, Jan ; Pajarinen, Joni (2022):
Deep Adversarial Reinforcement Learning for Object Disentangling. (Postprint)
In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5504-5510,
Darmstadt, IEEE, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA (Virtual), 24.10.2020-24.01.2021, e-ISSN 2153-0866, ISBN 978-1-7281-6212-6,
[Conference or Workshop Item]

Koert, Dorothea ; Maeda, Guilherme ; Lioutikov, Rudolf ; Neumann, Gerhard ; Peters, Jan (2022):
Demonstration based trajectory optimization for generalizable robot motions. (Postprint)
In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pp. 515-522,
Darmstadt, IEEE, International Conference on Humanoid Robots (Humanoids), Cancun, Mexico, 15.-17.11.2016, e-ISSN 2164-0580, ISBN 978-1-509-04719-2,
DOI: 10.26083/tuprints-00020544,
[Conference or Workshop Item]

Nass, David ; Belousov, Boris ; Peters, Jan (2022):
Entropic Risk Measure in Policy Search. (Postprint)
In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1101-1106,
Darmstadt, IEEE, International Conference on Intelligent Robots and Systems (IROS), Macau, China, 03.-08.11.2019, e-ISSN 2153-0866, ISBN 978-1-7281-4004-9,
DOI: 10.26083/tuprints-00020551,
[Conference or Workshop Item]

Rawal, Niyati ; Koert, Dorothea ; Turan, Cigdem ; Kersting, Kristian ; Peters, Jan ; Stock-Homburg, Ruth (2022):
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. (Publisher's Version)
In: Frontiers in Robotics and AI, 8, Frontiers Media S.A., e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00020336,
[Article]

Ploeger, Kai ; Lutter, Michael ; Peters, Jan (2022):
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. (Publisher's Version)
In: Proceedings of Machine Learning Research, 155, In: Proceedings of the 2020 Conference on Robot Learning, pp. 642-653,
Darmstadt, PMLR, Conference on Robot Learning (CoRL) 2020, Cambridge MA, USA, 16.-18.11.2020, DOI: 10.26083/tuprints-00020583,
[Conference or Workshop Item]

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2022):
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. (Postprint)
In: Neural Networks, 109, pp. 67-80. Elsevier, ISSN 0893-6080,
DOI: 10.26083/tuprints-00020537,
[Article]

Koert, Dorothea ; Maeda, Guilherme ; Neumann, Gerhard ; Peters, Jan (2022):
Learning Coupled Forward-Inverse Models with Combined Prediction Errors. (Postprint)
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 2433-2439,
Darmstadt, IEEE, International Conference on Robotics and Automation (ICRA) 2018, Brisbane, QLD, Australia, 21.-25.05.2018, e-ISSN 2577-087X, ISBN 978-1-5386-3081-5,
DOI: 10.26083/tuprints-00020546,
[Conference or Workshop Item]

Koert, Dorothea ; Pajarinen, Joni ; Schotschneider, Albert ; Trick, Susanne ; Rothkopf, Constantin A. ; Peters, Jan (2022):
Learning Intention Aware Online Adaptation of Movement Primitives. (Postprint)
In: IEEE Robotics and Automation Letters, 4 (4), pp. 3719-3726. IEEE, e-ISSN 2377-3766,
DOI: 10.26083/tuprints-00020543,
[Article]

Lioutikov, Rudolf ; Neumann, Gerhard ; Maeda, Guilherme ; Peters, Jan (2022):
Learning movement primitive libraries through probabilistic segmentation. (Postprint)
In: The International Journal of Robotics Research, 36 (8), pp. 879-894. SAGE Publications, ISSN 0278-3649, e-ISSN 1741-3176,
DOI: 10.26083/tuprints-00020539,
[Article]

Parisi, Simone ; Tateo, Davide ; Hensel, Maximilian ; D’Eramo, Carlo ; Peters, Jan ; Pajarinen, Joni (2022):
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. (Publisher's Version)
In: Algorithms, 15 (3), MDPI, e-ISSN 1999-4893,
DOI: 10.26083/tuprints-00021017,
[Article]

Prasad, Vignesh ; Koert, Dorothea ; Stock-Homburg, Ruth ; Peters, Jan ; Chalvatzaki, Georgia (2022):
MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.
In: 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), pp. 472-479,
Okinawa, IEEE, Humanoids2022, Ginowan, Japan, 28.-30. November 2022, ISBN 979-8-3503-0979-9,
DOI: 10.1109/Humanoids53995.2022.10000239,
[Conference or Workshop Item]

Trick, Susanne ; Koert, Dorothea ; Peters, Jan ; Rothkopf, Constantin A. (2022):
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. (Postprint)
In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7009-7016,
Darmstadt, IEEE, International Conference on Intelligent Robots and Systems (IROS), Macau, China, 03.-08.11.2019, e-ISSN 2153-0866, ISBN 978-1-7281-4004-9,
DOI: 10.26083/tuprints-00020552,
[Conference or Workshop Item]

Koert, Dorothea ; Trick, Susanne ; Ewerton, Marco ; Lutter, Michael ; Peters, Jan (2022):
Online Learning of an Open-Ended Skill Library for Collaborative Tasks. (Postprint)
In: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids),
Darmstadt, IEEE, International Conference on Humanoid Robots (Humanoids), Beijing, China, 06.-09.11.2018, e-ISSN 2164-0580, ISBN 978-1-5386-7283-9,
DOI: 10.26083/tuprints-00020545,
[Conference or Workshop Item]

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2022):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. (Publisher's Version)
In: Proceedings of Machine Learning Research, 78, In: Proceedings of the 1st Annual Conference on Robot Learning, pp. 167-174,
Darmstadt, PMLR, CoRL2017 - Conference on Robot Learning 2017, Mountain View, California, 13.-15.11.2017, DOI: 10.26083/tuprints-00020580,
[Conference or Workshop Item]

Pajarinen, Joni ; Arenz, Oleg ; Peters, Jan ; Neumann, Gerhard (2022):
Probabilistic Approach to Physical Object Disentangling. (Postprint)
In: IEEE Robotics and Automation Letters, 5 (4), pp. 5510-5517. IEEE, e-ISSN 2377-3766,
[Article]

Akrour, Riad ; Pajarinen, Joni ; Peters, Jan ; Neumann, Gerhard (2022):
Projections for Approximate Policy Iteration Algorithms. (Publisher's Version)
In: Proceedings of Machine Learning Research, 97, In: Proceedings of the 36th International Conference on Machine Learning, pp. 181-190,
Darmstadt, PMLR, 36th International Conference on Machine Learning, Long Beach, California, USA, 09.-15.06.2019, DOI: 10.26083/tuprints-00020582,
[Conference or Workshop Item]

Schultheis, Matthias ; Belousov, Boris ; Abdulsamad, Hany ; Peters, Jan (2022):
Receding Horizon Curiosity. (Publisher's Version)
In: Proceedings of Machine Learning Research, 100, pp. 1278-1288, Darmstadt, PMLR, 3rd Conference on Robot Learning (CoRL 2019), Osaka, Japan, 30.10.- 1.11.2019, DOI: 10.26083/tuprints-00020578,
[Conference or Workshop Item]

Gomez-Gonzalez, Sebastian ; Nemmour, Yassine ; Schölkopf, Bernhard ; Peters, Jan (2022):
Reliable Real-Time Ball Tracking for Robot Table Tennis. (Publisher's Version)
In: Robotics, 8 (4), MDPI, e-ISSN 2218-6581,
DOI: 10.26083/tuprints-00015740,
[Article]

Muratore, Fabio ; Ramos, Fabio ; Turk, Greg ; Yu, Wenhao ; Gienger, Michael ; Peters, Jan (2022):
Robot Learning From Randomized Simulations: A Review. (Publisher's Version)
In: Frontiers in Robotics and AI, 9, Frontiers, e-ISSN 2296-9144,
[Article]

Moos, Janosch ; Hansel, Kay ; Abdulsamad, Hany ; Stark, Svenja ; Clever, Debora ; Peters, Jan (2022):
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. (Publisher's Version)
In: Machine Learning and Knowledge Extraction, 4 (1), pp. 276-315. MDPI, e-ISSN 2504-4990,
DOI: 10.26083/tuprints-00021118,
[Article]

Tanneberg, Daniel ; Ploeger, Kai ; Rueckert, Elmar ; Peters, Jan (2022):
SKID RAW: Skill Discovery From Raw Trajectories. (Postprint)
In: IEEE Robotics and Automation Letters, 6 (3), pp. 4696-4703. IEEE, ISSN 2377-3774, e-ISSN 2377-3766,
DOI: 10.26083/tuprints-00020536,
[Article]

Eilers, Christian ; Eschmann, Jonas ; Menzenbach, Robin ; Belousov, Boris ; Muratore, Fabio ; Peters, Jan (2022):
Underactuated Waypoint Trajectory Optimization for Light Painting Photography. (Postprint)
In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 1505-1510,
Darmstadt, IEEE, International Conference on Robotics and Automation (ICRA), Paris, France, 31.05-31.08.2020, e-ISSN 2577-087X, ISBN 978-1-7281-7395-5,
DOI: 10.26083/tuprints-00020549,
[Conference or Workshop Item]

Wibranek, Bastian ; Liu, Yuxi ; Funk, Niklas ; Belousov, Boris ; Peters, Jan ; Tessmann, Oliver
Stojakovic, V. ; Tepavcevic, B. (eds.) (2021):
Reinforcement Learning for Sequential Assembly of SL-Blocks - Self-interlocking combinatorial design based on Machine Learning.
In: Proceedings of the 39th eCAADe Conference - Volume 1, pp. 27-36,
Novi Sad, Towards a new, configurable architecture - The 39th eCAADe Conference, Novi Sad, 8-10 September 2021, [Conference or Workshop Item]

Stuhlenmiller, Florian ; Lutter, Michael ; Peters, Jan ; Clever, Debora ; Rinderknecht, Stephan (2021):
Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System.
In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 842-847,
Delft, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Delft, 12 - 16 July 2021, ISSN 21596247, e-ISSN 21596255, ISBN 9781665441391; 9781665441407,
DOI: 10.1109/AIM46487.2021.9517539,
[Conference or Workshop Item]

Prasad, Vignesh ; Stock-Homburg, Ruth ; Peters, Jan (2021):
Human-Robot Handshaking: A Review.
In: International Journal of Social Robotics, DOI: 10.1007/s12369-021-00763-z,
[Article]

Prasad, Vignesh ; Stock-Homburg, Ruth ; Peters, Jan (2021):
Learning Human-like Hand Reaching for Human-Robot Handshaking.
Hybrid, Xian, China, virtual, IEEE International Conference on Robotics and Automation (ICRA), hybrid Xian, China,virtual, 2021 May 30 – June 05, [Conference or Workshop Item]

Koert, Dorothea ; Kircher, Maximilian ; Salikutluk, Vildan ; D'Eramo, Carlo ; Peters, Jan (2021):
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. (Publisher's Version)
In: Frontiers in Robotics and AI, 7, Frontiers, e-ISSN 2296-9144,
DOI: 10.26083/tuprints-00019239,
[Article]

Kollegger, Gerrit ; Wiemeyer, Josef ; Ewerton, Marco ; Peters, Jan (2021):
Perception and prediction of the putting distance of robot putting movements under different visual/viewing conditions. (Publisher's Version)
In: PLOS ONE, 16 (4), PLOS, ISSN 1932-6203,
DOI: 10.26083/tuprints-00019384,
[Article]

Santos, Allan ; Mora, Edwin ; Peters, Jan ; Steinke, Florian (2020):
Decentralized Data-Driven Tuning of Droop Frequency Controllers applied to a Non-Linear Grid Model.
In: PESS 2020 : IEEE Power and Energy Student Summit : conference proceedings, pp. 15-19,
VDE-Verlag, 2020 IEEE Power and Energy Student Summit (PESS), virtual Conference, 05.-07.10.2020, ISBN 978-3-8007-5337-6,
[Conference or Workshop Item]

Santos, Allan ; Mora, Edwin ; Peters, Jan ; Steinke, Florian (2020):
Decentralized Data-Driven Tuning of Droop Frequency Controllers.
pp. 141-145, IEEE, 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), virtual Conference, 25.-28.10., ISBN 9781728171012,
DOI: 10.1109/ISGT-Europe47291.2020.9248956,
[Conference or Workshop Item]

Zelch, Christoph ; Peters, Jan ; Stryk, Oskar von (2020):
Learning control policies from optimal trajectories.
In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 2529-2535,
IEEE, International Conference on Robotics and Automation, Paris, France, 31.05.-31.08.2020, ISBN 978-1-7281-7395-5,
DOI: 10.1109/ICRA40945.2020.9196791,
[Conference or Workshop Item]

Lioutikov, Rudolf ; Maeda, Guilherme ; Veiga, Filipe ; Kersting, Kristian ; Peters, Jan (2020):
Learning Attribute Grammars for Movement Primitive Sequencing.
In: International Journal of Robotics Research (IJRR), 39 (1), DOI: 10.1177/0278364919868279,
[Article]

Wibranek, Bastian ; Belousov, Boris ; Sadybakasov, Alymbek ; Peters, Jan ; Tessmann, Oliver (2019):
Interactive Structure Robotic Repositioning of Vertical Elements in Man-Machine Collaborative Assembly through Vision-Based Tactile Sensing.
In: Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, pp. 705-713,
Porto, Architecture in the Age of the 4th Industrial Revolution - the 37th eCAADe and 23rd SIGraDi Conference, University of Porto, 11.-13.09.2019, [Conference or Workshop Item]

Brandherm, Florian ; Peters, Jan ; Neumann, Gerhard ; Akrour, Riad (2019):
Learning Replanning Policies with Direct Policy Search.
In: IEEE Robotics and Automation Letters, 4 (2), pp. 2196- 2203. IEEE, e-ISSN 2377-3766,
DOI: 10.1109/LRA.2019.2901656,
[Article]

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2019):
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks.
In: Neural Networks, 109, pp. 67-80. Elsevier, ISSN 0893-6080,
DOI: 10.1016/j.neunet.2018.10.005,
[Article]

Belousov, Boris ; Peters, Jan (2019):
Entropic Regularization of Markov Decision Processes.
In: Entropy, 21 (7), MDPI, ISSN 1099-4300,
DOI: 10.3390/e21070674,
[Article]

Schürmann, Tim ; Mohler, Betty Jo ; Peters, Jan ; Beckerle, Philipp (2019):
How Cognitive Models of Human Body Experience Might Push Robotics.
In: Frontiers in Neurorobotics, 13, Frontiers, ISSN 1662-5218,
DOI: 10.3389/fnbot.2019.00014,
[Article]

Koert, Dorothea ; Pajarinen, Joni ; Schotschneider, Albert ; Trick, Susanne ; Rothkopf, Constantin A. ; Peters, Jan (2019):
Learning Intention Aware Online Adaptation of Movement Primitives.
In: IEEE Robotics and Automation Letters, 4 (4), pp. 3719-3726. IEEE, ISSN 2377-3766, e-ISSN 2377-3774,
DOI: 10.1109/lra.2019.2928760,
[Article]

Ewerton, Marco ; Arenz, Oleg ; Maeda, Guilherme ; Koert, Dorothea ; Kolev, Zlatko ; Takahashi, Masaki ; Peters, Jan (2019):
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.
In: Frontiers in Robotics and AI, 6, Frontiers, e-ISSN 2296-9144,
DOI: 10.25534/tuprints-00009657,
[Article]

Trick, Susanne ; Koert, Dorothea ; Peters, Jan ; Rothkopf, Constantin A. (2019):
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.
In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7009-7016,
IEEE, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 03.-08.11.2019, ISBN 978-1-7281-4004-9,
DOI: 10.1109/iros40897.2019.8968171,
[Conference or Workshop Item]

Buechler, Dieter ; Calandra, Roberto ; Schoelkopf, Bernhard ; Peters, Jan (2018):
Control of Musculoskeletal Systems using Learned Dynamics Models.
In: IEEE Robotics and Automation Letters, 3 (4), pp. 3161-3168. ISSN 2377-3766, 2377-3774 (elektronisch),
DOI: 10.1109/LRA.2018.2849601,
[Article]

Veiga, Filipe ; Peters, Jan ; Hermans, Tucker (2018):
Grip Stabilization of Novel Objects using Slip Prediction.
In: IEEE Transactions on Haptics, IEEE, ISSN 1939-1412,
DOI: 10.1109/TOH.2018.2837744,
[Article]

Ewerton, Marco ; Rother, David ; Weimar, Jakob ; Kollegger, Gerrit ; Wiemeyer, Josef ; Peters, Jan ; Maeda, Guilherme (2018):
Assisting Movement Training and Execution With Visual and Haptic Feedback.
In: Frontiers in Neurorobotics, 12, Frontiers, ISSN 1662-5218,
DOI: 10.3389/fnbot.2018.00024,
[Article]

Ewerton, Marco ; Rother, David ; Weimar, Jakob ; Kollegger, Gerrit ; Wiemeyer, Josef ; Peters, Jan ; Maeda, Guilherme (2018):
Assisting Movement Training and Execution with Visual and Haptic Feedback.
In: Frontiers in Neurorobotics, ISSN 1662-5218,
DOI: 10.3389/fnbot.2018.00024,
[Article]

Kroemer, Oliver ; Leischnig, Simon ; Luettgen, Stefan ; Peters, Jan (2018):
A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks.
In: Autonomous Robots, 42 (3), pp. 581-600. DOI: 10.1007/s10514-017-9651-z,
[Article]

Pinsler, Robert ; Akrour, Riad ; Osa, Takayuki ; Peters, Jan ; Neumann, Gerhard (2018):
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
In: 2018 IEEE International Conference on Robotics and Automation (ICRA),
IEEE, Brisbane, QLD, Australia, 21-25 May 2018, DOI: 10.1109/ICRA.2018.8460907,
[Conference or Workshop Item]

Lioutikov, Rudolf ; Neumann, Gerhard ; Maeda, Guilherme ; Peters, Jan (2017):
Learning Movement Primitive Libraries through Probabilistic Segmentation.
In: International Journal of Robotics Research, 36 (8), pp. 879-894. SAGE Science Press, ISSN 0278-3649,
DOI: 10.1177/0278364917713116,
[Article]

Kollegger, Gerrit ; Ewerton, Marco ; Wiemeyer, Josef ; Peters, Jan (2017):
BIMROB – Bidirectional Interaction between human and robot for the learning of movements – Robot trains human – Human trains robot.
23. Sportwissenschaftlicher Hochschultag der dvs, [Conference or Workshop Item]

Fiebig, Karl-Heinz ; Jayaram, Vinay ; Hesse, Thomas ; Blank, Alexander ; Peters, Jan ; Grosse-Wentrup, Moritz (2017):
Bayesian Regression for Artifact Correction in Electroencephalography.
pp. 131-136, Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, DOI: 10.3217/978-3-85125-533-1-25,
[Conference or Workshop Item]

Paraschos, Alexandros ; Lioutikov, Rudolf ; Peters, Jan ; Neumann, Gerhard (2017):
Probabilistic Prioritization of Movement Primitives.
In: IEEE Robotics and Automation Letters, 2 (4), pp. 2294-2301. IEEE, DOI: 10.1109/LRA.2017.2725440,
[Article]

Peters, Jan ; Tedrake, Russ ; Roy, Nick ; Morimoto, Jun (2017):
Robot Learning.
In: Encyclopedia of Machine Learning and Data Mining, 2nd ed., Boston, MA, Springer, ISBN 978-1-4899-7685-7 Online ISBN 978-1-4899-7687-1,
[Book Section]

Staab, Michael ; Methorst, Joel ; Peters, Jan ; Blüthgen, Nico ; Klein, Alexandra-Maria (2017):
Tree diversity and nectar composition affect arthropod visitors on extrafloral nectaries in a diversity experiment.
In: Journal of Plant Ecology, 10 (1), pp. 201-212. ISSN 1752-9921,
[Article]

Maeda, Guilherme ; Ewerton, Marco ; Koert, Dorothea ; Peters, Jan (2016):
Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills.
In: IEEE ROBOTICS AND AUTOMATION LETTERS, 1 (2), pp. 784-791. [Article]

Huang, Yanlong ; Büchler, Dieter ; Koc, Okan ; Schölkopf, Bernhard ; Peters, Jan (2016):
Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis.
In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids),
IEEE, Cancun, Mexico, 15-17 Nov. 2016, DOI: 10.1109/HUMANOIDS.2016.7803343,
[Conference or Workshop Item]

Koc, Okan ; Peters, Jan ; Maeda, Guilherme (2016):
A New Trajectory Generation Framework in Robotic Table Tennis.
In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
IEEE, Daejeon, South Korea, 9-14 Oct. 2016, DOI: 10.1109/IROS.2016.7759552,
[Conference or Workshop Item]

Daniel, Christian ; Hoof, Herke van ; Peters, Jan ; Neumann, Gerhard (2016):
Probabilistic Inference for Determining Options in Reinforcement Learning.
In: Machine Learning, 104 (2-3), pp. 337-357. [Article]

Rueckert, Elmar ; Camernik, Jernej ; Peters, Jan ; Babic, Jan (2016):
Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control.
In: Scientific reports, 6 (28455), ISSN 2045-2322,
[Article]

Rueckert, Elmar ; Kappel, David ; Tanneberg, Daniel ; Pecevski, Dejan ; Peters, Jan (2016):
Recurrent Spiking Networks Solve Planning Tasks.
In: Scientific Reports, 6 (21142), Nature Publ. Group, ISSN 2045-2322,
[Article]

Mariti, C. ; Muscolo, G. G. ; Peters, Jan ; Puig, D. ; Recchiuto, C. T. ; Sighieri, C. ; Solanas, A. ; Stryk, Oskar von (2015):
Developing biorobotics for veterinary research into cat movements.
In: Journal of Veterinary Behavior: Clinical Applications and Research, 10 (3), pp. 248-254. [Article]

Peters, Jan ; Muelling, Katharina ; Kober, Jens (2014):
Experiments with Motor Primitives in Table Tennis.
In: Springer Tracts in Advanced Robotics, 79, In: Experimental Robotics, pp. 347-359,
Berlin, Heidelberg, Springer, 12th International Symposium on Experimental Robotics (ISER 2010), DOI: 10.1007/978-3-642-28572-1_24,
[Conference or Workshop Item]

Kober, Jens ; Muelling, Katharina ; Peters, Jan (2012):
Learning Throwing and Catching Skills : Video Track.
In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5167-5168,
Vilamoura, Portugal, 7-12 Oct. 2012, DOI: 10.1109/IROS.2012.6386267,
[Conference or Workshop Item]

Nguyen-Tuong, Duy ; Peters, Jan (2012):
Online Kernel-based Learning for Task-Space Tracking Robot Control.
In: IEEE Transactions on Neural Networks and Learning Systems, 23 (9), pp. 1417-1425. DOI: 10.1109/TNNLS.2012.2201261,
[Article]

Kober, Jens ; Wilhelm, Andreas ; Oztop, Erhan ; Peters, Jan (2012):
Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations.
In: Autonomous Robots, 33 (4), pp. 361-379. springer us, DOI: 10.1007/s10514-012-9290-3,
[Article]

Sigaud, Olivier ; Peters, Jan (2012):
Robot Learning.
In: Encyclopedia of the Sciences of Learning, pp. 168-211, Boston, MA, Springer, ISBN Online ISBN 978-1-4419-1428-6 Print ISBN 978-1-4419-1427-9,
DOI: 10.1007/978-1-4419-1428-6_237,
[Book Section]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2011):
A Biomimetic Approach to Robot Table Tennis.
In: Adaptive Behavior, 19 (5), pp. 359-376. Sage, DOI: 10.1177/1059712311419378,
[Article]

Wang, Zhikun ; Lampert, Christoph H. ; Mülling, Katharina ; Schölkopf, Bernhard ; Peters, Jan (2011):
Learning Anticipation Policies for Robot Table Tennis.
In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 332-337, San Francisco, IEEE, [Book Section]

Kroemer, Oliver ; Lampert, Christoph H. ; Peters, Jan (2011):
Learning Dynamic Tactile Sensing with Robust Vision-based Training.
In: IEEE TRANSACTIONS ON ROBOTICS, 27 (3), pp. 545-557. [Article]

Bocsi, B. ; Nguyen-Tuong, D. ; Csatol, L. ; Schölkopf, B. ; Peters, Jan (2011):
Learning Inverse Kinematics with Structured Prediction.
IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), [Conference or Workshop Item]

Piater, Justus ; Jodogne, Sébastien ; Detry, Renaud ; Kraft, Dirk ; Krüger, Norbert ; Kroemer, Oliver ; Peters, Jan (2011):
Learning Visual Representations for Perception-Action Systems.
In: The International Journal of Robotics Research, 30 (3), pp. 294-307. DOI: 10.1177/0278364910382464,
[Article]

Peters, Jan ; Tedrake, Russ ; Roy, Nicholas ; Morimoto, Jun (2011):
Robot Learning.
In: Encyclopedia of Machine Learning, Boston, MA, Springer, ISBN Online ISBN 978-0-387-30164-8;Print ISBN 978-0-387-30768-8,
DOI: 10.1007/978-0-387-30164-8_732,
[Book Section]

Peters, Jan ; Kober, Jens ; Muelling, Katharina ; Nguyen-Tuong, Duy ; Kroemer, Oliver (2011):
Towards Motor Skill Learning for Robotics.
In: Springer tracts in advanced robotics, 70, In: Robotics Research, pp. 460-482,
Berlin, Springer, The 14th International Symposium ISRR, Luzern, 31. August-3. September 2009, [Conference or Workshop Item]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
A Biomimetic Approach to Robot Table Tennis.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems : Conference proceedings,
IEEE, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 18-22 Oct. 2010, DOI: 10.1109/IROS.2010.5650305,
[Conference or Workshop Item]

Morimura, Tetsuro ; Uchibe, Eiji ; Yoshimoto, Junichiro ; Peters, Jan ; Doya, Kenji (2010):
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
In: Neural Computation, 22 (2), pp. 442-376. MIT Press, [Article]

Kroemer, Oliver ; Detry, Renaud ; Piater, Justus ; Peters, Jan (2010):
Grasping with Vision Descriptors and Motor Primitives.
2, In: Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics,
7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010), Funchal, Madeira, Portugal, June 15-18, 2010, DOI: 10.5220/0002938100470054,
[Conference or Workshop Item]

Kober, Jens ; Mohler, Betty ; Peters, Jan (2010):
Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.
In: Studies in Computational Intelligence, 264, In: From Motor Learning to Interaction Learning in Robots, pp. 209-225, Berlin, Heidelberg, Springer, ISBN Online ISBN 978-3-642-05181-4;Print ISBN 978-3-642-05180-7,
DOI: 10.1007/978-3-642-05181-4_10,
[Book Section]

Erkan, Ayşe Naz ; Detry, Renaud ; Altun, Yasemin ; Piater, Justus ; Peters, Jan ; Kroemer, Oliver (2010):
Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision.
In: IEEE/RSJ International Conference on Intelligent Robots and Systems : Conference proceedings,
IEEE, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 18-22 Oct. 2010, DOI: 10.1109/IROS.2010.5650088,
[Conference or Workshop Item]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
Learning Table Tennis with a Mixture of Motor Primitives.
In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids),
IEEE, 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010), Nashville, TN, USA, 6-8 Dec. 2010, DOI: 10.1109/ICHR.2010.5686298,
[Conference or Workshop Item]

Chiappa, Silvia ; Peters, Jan (2010):
Movement extraction by detecting dynamics switches and repetitions.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, pp. 388-396,
Red Hook, NY : Curran, Neural Information Processing Systems Foundation, 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Conference or Workshop Item]

Peters, Jan ; Bagnell, J. Andrew (2010):
Policy gradient methods.
In: Encyclopedia of Machine Learning, Berlin, Springer, ISBN 978-0-387-30768-8,
DOI: 10.1007/978-0-387-30164-8_640,
[Book Section]

Peters, Jan ; Kober, Jens ; Schaal, Stefan (2010):
Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfaehigkigkeiten).
In: Automatisierungstechnik, 58 (12), pp. 688-694. De Gruyter, ISSN 2196-677X ; Druckausg.: 0178-2312,
[Article]

Nguyen-Tuong, Duy ; Seeger, Matthias ; Peters, Jan (2010):
Real-Time Local GP Model Learning.
In: Studies in Computational Intelligence, In: From Motor Learning to Interaction Learning in Robots, pp. 193-207, Berlin, Heidelberg, Springer, ISBN Online ISBN 978-3-642-05181-4;Print ISBN 978-3-642-05180-7,
DOI: 10.1007/978-3-642-05181-4_9,
[Book Section]

Muelling, Katharina ; Kober, Jens ; Peters, Jan (2010):
Simulating Human Table Tennis with a Biomimetic Robot Setup.
In: Lecture notes in computer science, 6226, In: From Animals to Animats 11 : Proceedings, pp. 273-282,
From Animals to Animats 11 : 11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris-Clos Lucé, France, August 25-28, 2010, DOI: https://doi.org/10.1007,
[Conference or Workshop Item]

Alvaro, Mauricio A. ; Peters, Jan ; Schoelkopf, Bernhard ; Lawrence, Neil D. (2010):
Switched Latent Force Models for Movement Segmentation.
In: Advances in neural information processing systems 23 : Proceedings of the 2010 Conference, pp. 55-63,
Red Hook, NY : Curran, Neural Information Processing Systems Foundation, 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, Canada, 2010.12.06-09, [Conference or Workshop Item]

Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009):
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
In: Neural Networks, 22 (10), pp. 1399-1410. ISSN 0893-6080,
DOI: 10.1016/j.neunet.2009.01.002,
[Article]

Hachiya, Hirotaka ; Akiyama, Takayuki ; Sugiyama, Masashi ; Peters, Jan (2009):
Efficient Data Reuse in Value Function Approximation.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning,
IEEE, Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning., Nashville, TN, USA, 30 March-2 April 2009, DOI: 10.1109/ADPRL.2009.4927519,
[Conference or Workshop Item]

Hachiya, Hirotaka ; Peters, Jan ; Sugiyama, Masashi (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Lecture Notes in Computer Science, 5781, In: Machine Learning and Knowledge Discovery in Databases : Proceedings Pt.I, pp. 469-484,
Berlin, Springer, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, DOI: 10.1007/978-3-642-04180-8_48,
[Conference or Workshop Item]

Hoffman, Matthew ; Freitas, Nando de ; Doucet, Arnaud ; Peters, Jan (2009):
An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward.
5, In: Proceedings of Machine Learning Research, pp. 232-239,
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), [Conference or Workshop Item]

Sigaud, Olivier ; Peters, Jan (2009):
From Motor Learning to Interaction Learning in Robots.
In: Proceedings of 7ème Journées Nationales de la Recherche en Robotique, pp. 189-195,
JNRR 2009, Neuvy-sur-Barangeon, France, [Conference or Workshop Item]

Deisenroth, Marc Peter ; Rasmussen, Carl Edward ; Peters, Jan (2009):
Gaussian Process Dynamic Programming.
In: Neurocomputing, 72 (7-9), pp. 1508-1524. Elsevier, [Article]

Peters, Jan ; Ng, Andrew Y. (2009):
Guest Editorial: Special Issue on Robot Learning, Part B.
In: Autonomous Robots, 27 (2), pp. 91-92. Springer, [Article]

Neumann, Gerhard ; Maass, Wolfgang ; Peters, Jan (2009):
Learning Complex Motions by Sequencing Simpler Motion Templates.
In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 753-760,
ACM, ICML '09, Montreal, Quebec, Canada, June 14 - 18, 2009, DOI: 10.1145/1553374.1553471,
[Conference or Workshop Item]

Nguyen-Tuong, Duy ; Seeger, Matthias ; Peters, Jan (2009):
Local Gaussian Process Regression for Real Time Online Model Learning and Control.
In: Advances in neural information processing systems 21 : [proceedings],
Red Hook, NY, Curran, 22nd Annual Conference on Neural Information Processing Systems 2008 (NIPS), December 8 - 10, 2008, Vancouver, Vancouver, B. C., Canada, [Conference or Workshop Item]

Peters, Jan ; Morimoto, Jun ; Tedrake, Russ ; Roy, Nicholas (2009):
Robot Learning [TC Spotlight].
In: doi: 10.1109/MRA.2009.933618, In: IEEE Robotics & Automation Magazine, 16 (3), pp. 19-20. IEEE, ISSN Print ISSN: 1070-9932 Electronic ISSN: 1558-223X,
DOI: 10.1109/MRA.2009.933618,
[Article]

Nguyen-Tuong, D. ; Schölkopf, B. ; Peters, Jan (2009):
Sparse Online Model Learning for Robot Control with Support Vector Regression.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Nguyen-Tuong, Duy ; Schoelkopf, Bernhard ; Peters, Jan (2009):
Sparse Online Model Learning for Robot Control with Support Vector Regression.
In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems,
IEEE, IROS 2009, St. Louis, MO, USA, 10-15 Oct. 2009, [Conference or Workshop Item]

Peters, Jan ; Kober, Jens (2009):
Using Reward-Weighted Imitation for Robot Reinforcement Learning.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 226-232,
Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Nashville, TN, USA, 30 March-2 April 2009, DOI: 10.1109/ADPRL.2009.4927549,
[Conference or Workshop Item]

Sehnke, Frank ; Osendorfer, Christian ; Rückstiess, Thomas ; Graves, Alex ; Peters, Jan ; Schmidhuber, Jürgen (2008):
Policy Gradients with Parameter-based Exploration for Control.
Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Peters, Jan ; Schaal, Stefan
Ishikawa, Masumi (ed.) (2007):
Policy Learning for Motor Skills.
In: Lecture notes in computer science, 4985, In: Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007 ; Revised Selected Papers, Part II, pp. 233-242,
Berlin, Heidelberg, New York, Springer, ISBN 978-3-540-69159-4,
DOI: 10.1007/978-3-540-69162-4_25,
[Conference or Workshop Item]

Peters, Jan ; Rieke, R. ; Rochaeli, T. ; Steinemann, B. ; Wolf, Ruben (2006):
A Holistic Approach to Security Policies - Policy Distribution with XACML over COPS.
In: VODCA 2006 <Bertinoro, Italy,2006> ; Proceedings of Workshop on Views On Designing Complex Architectures, [Conference or Workshop Item]

Peters, Jan ; Schaal, Stefan (2006):
Policy gradient methods for robotics.
In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2219 -2225,
IEEE International Conference on Intelligent Robotics Systems (IROS 2006), Beijing, China, 9-15 Oct. 2006, DOI: 10.1109/IROS.2006.282564,
[Conference or Workshop Item]

Nakanishi, Jun ; Cory, Rick ; Mistry, Michael ; Peters, Jan ; Schaal, Stefan (2005):
Comparative experiments on task space control with redundancy resolution.
In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems,
IEEE, IEEE International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, 2-6 Aug. 2005, DOI: 10.1109/IROS.2005.1545203,
[Conference or Workshop Item]

Peters, Jan ; Mistry, Michael ; Udwadia, Firdaus ; Schaal, Stefan (2005):
A new methodology for robot control design.
In: Conferences and Computers and Information in Engineering Conference, 6, In: Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 2005 : Parts A, B, and C, pp. 1067-1076,
ASME, The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005), Long Beach, California, USA, September 24–28, 2005, DOI: 10.1115/DETC2005-85166,
[Conference or Workshop Item]

Peters, Jan ; Schaal, Stefan (2004):
Learning Motor Primitives with Reinforcement Learning : Poster.
In: 11th Joint Symposium on Neural Computation,
unpublished, University of Southern California, 15 May 2004, [Conference or Workshop Item]

Burdet, E. ; Tee, K. P. ; Chew, C. M. ; Peters, Jan ; Loo, V. B. T. (2001):
Hybrid IDM/Impedance Learning in Human Movements.
First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings, [Conference or Workshop Item]

Peters, Jan (2000):
Namensdienste für Mobile Agenten Systeme.
TU Darmstadt, [Diploma Thesis or Magisterarbeit]