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Number of items: 31.

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 ; Sadybakasov, Alymbek ; Wibranek, Bastian ; Veiga, Filipe ; Tessmann, Oliver ; Peters, Jan (2022):
Building a Library of Tactile Skills Based on FingerVision. (Postprint)
In: 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), pp. 717-722,
Darmstadt, IEEE, 19th International Conference on Humanoid Robots (Humanoids), Toronto, ON, Canada, 15.-17.10.2019, e-ISSN 2164-0580, ISBN 978-1-5386-7630-1,
DOI: 10.26083/tuprints-00020548,
[Conference or Workshop Item]

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,
Darmstadt, Neural Information Processing Systems, Advances in Neural Information Processing Systems 29 (NIPS 2016), Barcelona, Spain, 05.-10.12.2016, 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), 25.10.-29.10.2020, e-ISSN 2153-0866, ISBN 978-1-7281-6212-6,
DOI: 10.26083/tuprints-00022926,
[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]

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,
DOI: 10.26083/tuprints-00022927,
[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,
DOI: 10.26083/tuprints-00021227,
[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]

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]

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

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, e-ISSN 2296-9144,
[Article]

This list was generated on Fri Mar 24 19:28:53 2023 CET.