Intrinsic Motivation Learning in Stochastic Neural Networks

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Publications

2019

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

In: Neural Networks – Elsevier, 109 , pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

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Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

2017

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Inproceedings

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

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Efficient Online Adaptation with Stochastic Recurrent Neural Networks

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Inproceedings

In: Proceedings of the Conference on Robot Learning (CoRL), 2017.

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Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

Teaching the Humanoid Robot ICub Manipulation Skills

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Stochastic Neural Networks for Robot Motion Planning

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Publications

2016

Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar

Deep Spiking Networks for Model-based Planning in Humanoids Inproceedings

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

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Deep Spiking Networks for Model-based Planning in Humanoids

Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan

Recurrent Spiking Networks Solve Planning Tasks Journal Article

In: Nature Publishing Group: Scientific Reports, 6 (21142), 2016.

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Recurrent Spiking Networks Solve Planning Tasks

2015

Tanneberg, Daniel

Spiking Neural Networks Solve Robot Planning Problems Technical Report

Technische Universität Darmstadt M.Sc. Thesis, 2015.

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Spiking Neural Networks Solve Robot Planning Problems

Learning Bimanual Manipulation Primitives

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Learning Multimodal Solutions with Movement Primitives

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Publications

2015

Rueckert, Elmar; Mundo, Jan; Paraschos, Alexandros; Peters, Jan; Neumann, Gerhard

Extracting Low-Dimensional Control Variables for Movement Primitives Inproceedings

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

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Extracting Low-Dimensional Control Variables for Movement Primitives