Šošić, A. ; Rueckert, E. ; Peters, J. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, 19 (69)
Artikel, Bibliographie

Gondaliya, K. D. ; Peters, J. ; Rueckert, E. (2018)
Learning to Categorize Bug Reports with LSTM Networks.
The 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID). Nice, France
Konferenzveröffentlichung, Bibliographie

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2018)
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, 32 (6)
Artikel, Bibliographie

Stark, S. ; Peters, J. ; Rueckert, E. (2017)
A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017)
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Rueckert, E. ; Nakatenus, M. ; Tosatto, S. ; Peters, J. (2017)
Learning Inverse Dynamics Models in O(n) time with LSTM networks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017)
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
1st Conference on Robot Learning (CoRL 2017). Mountain View, USA (13.11.2017-15.11.2017)
Konferenzveröffentlichung, Bibliographie

Thiem, S. ; Stark, S. ; Tanneberg, D. ; Peters, J. ; Rueckert, E. (2017)
Simulation of the underactuated Sake Robotics Gripper in V-REP.
In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS)
Buchkapitel, Bibliographie

Sharma, D. ; Tanneberg, D. ; Grosse-Wentrup, M. ; Peters, J. ; Rueckert, E. (2016)
Adaptive Training Strategies for BCIs.
Cybathlon Symposium.
Konferenzveröffentlichung, Bibliographie

Tanneberg, D. ; Paraschos, A. ; Peters, J. ; Rueckert, E. (2016)
Deep Spiking Networks for Model-based Planning in Humanoids.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
Konferenzveröffentlichung, Bibliographie

Kohlschuetter, J. ; Peters, J. ; Rueckert, E. (2016)
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON).
Konferenzveröffentlichung, Bibliographie

Modugno, V. ; Neumann, G. ; Rueckert, E. ; Oriolo, G. ; Peters, J. ; Ivaldi, S. (2016)
Learning soft task priorities for control of redundant robots.
Konferenzveröffentlichung, Bibliographie

Azad, M. ; Ortenzi, V. ; Lin, C. ; Rueckert, E. ; Mistry, M. (2016)
Model Estimation and Control of Complaint Contact Normal Force.
Konferenzveröffentlichung, Bibliographie

Rueckert, E. ; Mundo, J. ; Paraschos, A. ; Peters, J. ; Neumann, G. (2015)
Extracting Low-Dimensional Control Variables for Movement Primitives.
Konferenzveröffentlichung, Bibliographie

Calandra, R. ; Ivaldi, S. ; Deisenroth, M. ; Rueckert, E. ; Peters, J. (2015)
Learning Inverse Dynamics Models with Contacts.
Konferenzveröffentlichung, Bibliographie

Rueckert, E. ; Lioutikov, R. ; Calandra, R. ; Schmidt, M. ; Beckerle, Philipp ; Peters, J. (2015)
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.
ICRA 2015 Workshop “Tactile & force sensing for autonomous, compliant, intelligent robots”. Seattle, Washington (26.05.2015-30.05.2015)
Konferenzveröffentlichung, Bibliographie

Paraschos, A. ; Rueckert, E. ; Peters, J. ; Neumann, G. (2015)
Model-Free Probabilistic Movement Primitives for Physical Interaction.
Konferenzveröffentlichung, Bibliographie

Rueckert, E. ; Mindt, M. ; Peters, J. ; Neumann, G. (2014)
Robust Policy Updates for Stochastic Optimal Control.
International Conference on Humanoid Robots (HUMANOIDS). Madrid (18.11.2014-20.11.2014)
Konferenzveröffentlichung, Bibliographie