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Number of items: 6.

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

van Hoof, H. and Tanneberg, D. and Peters, J. (2017):
Generalized Exploration in Policy Search.
In: Machine Learning (MLJ), (9-10), https://link.springer.com/content/pdf/10.1007%2Fs10994-017-5657-1.pdf, pp. 1705-1724, [Online-Edition: https://link.springer.com/content/pdf/10.1007%2Fs10994-017-5...],
[Article]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
In: Proceedings of the Conference on Robot Learning (CoRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Thiem, S. and Stark, S. and Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Simulation of the underactuated Sake Robotics Gripper in V-REP.
In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubElmarRuecker...],
[Book Section]

Sharma, D. and Tanneberg, D. and Grosse-Wentrup, M. and Peters, J. and Rueckert, E. (2016):
Adaptive Training Strategies for BCIs.
In: Cybathlon Symposium, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ElmarR%c3%bccke...],
[Conference or Workshop Item]

Tanneberg, D. and Paraschos, A. and Peters, J. and Rueckert, E. (2016):
Deep Spiking Networks for Model-based Planning in Humanoids.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

This list was generated on Sat Dec 7 01:31:40 2019 CET.