Publications

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2020

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

Evolutionary training and abstraction yields algorithmic generalization of neural computers Journal Article

Nature Machine Intelligence, pp. 1–11, 2020.

Links | BibTeX | Tags: neural network, Reinforcement Learning, Transfer Learning

Evolutionary training and abstraction yields algorithmic generalization of neural computers

2019

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

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

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

Links | BibTeX | Tags: neural network, Probabilistic Inference, RNN, spiking

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

2018

Gondaliya, Kaushikkumar D; Peters, Jan; Rueckert, Elmar

Learning to Categorize Bug Reports with LSTM Networks Inproceedings

Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).

Links | BibTeX | Tags: Natural Language Processing, neural network, RNN

Learning to Categorize Bug Reports with LSTM Networks

2015

Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan

Learning Inverse Dynamics Models with Contacts Inproceedings

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

Links | BibTeX | Tags: inverse dynamics, model learning, neural network

Learning Inverse Dynamics Models with Contacts

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Journal Articles

Tanneberg, Daniel; Rueckert, Elmar; Peters, Jan

Evolutionary training and abstraction yields algorithmic generalization of neural computers Journal Article

Nature Machine Intelligence, pp. 1–11, 2020.

Links | BibTeX

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

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

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

Links | BibTeX

Inproceedings

Gondaliya, Kaushikkumar D; Peters, Jan; Rueckert, Elmar

Learning to Categorize Bug Reports with LSTM Networks Inproceedings

Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).

Links | BibTeX

Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan

Learning Inverse Dynamics Models with Contacts Inproceedings

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

Links | BibTeX