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Stefan Wermter

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University of Hamburg

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

Oct 09, 2020
Tom Weber, Stefan Wermter

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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

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

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

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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

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Facial Expression Editing with Continuous Emotion Labels

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

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Curious Hierarchical Actor-Critic Reinforcement Learning

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

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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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