Englisch

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

Hoof, H. van ; Tanneberg, D. ; Peters, J. (2017)
Generalized Exploration in Policy Search.
In: Machine Learning (MLJ), (9-10)
Artikel, 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