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Stefan Wermter

University of Hamburg

Hierarchical principles of embodied reinforcement learning: A review

Dec 18, 2020
Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter


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Sensorimotor representation learning for an "active self" in robots: A model survey

Nov 25, 2020
Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan, Manfred Eppe, Verena Vanessa Hafner, Stefan Wermter


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Robotic self-representation improves manipulation skills and transfer learning

Nov 13, 2020
Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter

* Submitted to IEEE Robotics and Automation Letters (RA-L) 2021 with International Conference on Robotics and Automation Conference Option (ICRA) 2021 

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Reinforcement Learning with Time-dependent Goals for Robotic Musicians

Nov 11, 2020
Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter

* Preprint, submitted to IEEE Robotics and Automation Letters (RA-L) 2021 with International Conference on Robotics and Automation Conference Option (ICRA) 2021 

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Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions

Oct 14, 2020
Nikhil Churamani, Pablo Barros, Hatice Gunes, Stefan Wermter

* 12 pages, 9 figures 

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Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction

Oct 09, 2020
Tom Weber, Stefan Wermter

* Fall Symposium AAAI 2020 

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Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks

Sep 26, 2020
Matthias Kerzel, Fares Abawi, Manfred Eppe, Stefan Wermter

* Matthias Kerzel and Fares Abawi contributed equally to this work 

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Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

Jul 12, 2020
Junpei Zhong, Angelo Cangelosi, Stefan Wermter

* Frontiers in behavioral neuroscience, 8, 22 (2014) 

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Crossmodal Language Grounding in an Embodied Neurocognitive Model

Jun 24, 2020
Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter

* Under review, 25 pages 

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Facial Expression Editing with Continuous Emotion Labels

Jun 22, 2020
Alexandra Lindt, Pablo Barros, Henrique Siqueira, Stefan Wermter

* 8 pages, 5 figures. 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), May 2019 

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Curious Hierarchical Actor-Critic Reinforcement Learning

May 27, 2020
Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter

* add header; page 4, update footnote text; page 10, add acknowledgements 

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Explainable Goal-Driven Agents and Robots- A Comprehensive Review and New Framework

Apr 21, 2020
Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter


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Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Apr 19, 2020
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter


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Improved Techniques for Training Single-Image GANs

Mar 25, 2020
Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter

* Code available at https://github.com/tohinz/ConSinGAN 

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Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Jan 17, 2020
Henrique Siqueira, Sven Magg, Stefan Wermter

* Accepted at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 1-1, New York, USA 

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Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach

Dec 13, 2019
Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter


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Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators

Dec 05, 2019
Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter

* Submitted to LREC 2020 

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Semantic Object Accuracy for Generative Text-to-Image Synthesis

Oct 29, 2019
Tobias Hinz, Stefan Heinrich, Stefan Wermter

* Under review. Code available here: https://github.com/tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis 

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Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Oct 10, 2019
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

* In: Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Oslo, Norway, Aug. 19-22, 2019 

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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

Sep 05, 2019
Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo Barros, Haiyan Wu, Xun Liu, Stefan Wermter

* 29pages, 5 figures, 1 table, journal article 

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Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks

Sep 02, 2019
Sayantan Auddy, Sven Magg, Stefan Wermter

* In: Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Oslo, Norway, Aug. 19-22, 2019 

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The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Aug 30, 2019
Pablo Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter

* 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) 

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Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

Aug 21, 2019
Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter

* Published at the International Conference on Artificial Neural Networks (ICANN) 2019 

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Towards Learning How to Properly Play UNO with the iCub Robot

Aug 02, 2019
Pablo Barros, Stefan Wermter, Alessandra Sciutti

* Workshops on Naturalistic Non-Verbal and Affective Human-Robot Interactions co-located with ICDL-EPIROB 2019 

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From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use

May 23, 2019
Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter


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Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning

May 05, 2019
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

* Accepted at IJCNN 2019 

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A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Apr 23, 2019
Pablo Barros, German I. Parisi, Stefan Wermter

* Accepted by the International Conference on Machine Learning 2019 (ICML2019) 

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