Autor/in Eppe, Manfred 15 Wermter, Stefan Kerzel, Matthias 5 Nguyen, Phuong D. H. 4 Röder, Frank 3 Abawi, Fares 2 Alpay, Tayfun 2 Barros, Pablo 2 Griffiths, Sascha 2 Strahl, Erik 2 Butz, Martin V. 1 Gumbsch, Christian 1 Hafner, Verena Vanessa 1 Heinrich, Stefan 1 Liu, Xun 1 Magg, Sven 1 Marzouk, Ahmed 1 Nagai, Yukie 1 Ng, Hwei Geok 1 Parisi, German I. 1 Özdemir, Ozan 1 alle zeigenListe einklappen
Intelligent problem-solving as integrated hierarchical reinforcement learning Eppe, Manfred Gumbsch, Christian Kerzel, Matthias Nguyen, Phuong D. H. Butz, Martin V. Wermter, Stefan 2022 - TUHH Open Research
Grounding hindsight instructions in multi-goal reinforcement learning for robotics Röder, Frank Eppe, Manfred Wermter, Stefan 2022 - TUHH Open Research
The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review Röder, Frank Özdemir, Ozan Nguyen, Phuong D. H. Wermter, Stefan Eppe, Manfred 2021 - TUHH Open Research
Developmental Robotics and its Role Towards Artificial General Intelligence Eppe, Manfred Wermter, Stefan Hafner, Verena Vanessa Nagai, Yukie 2021 - TUHH Open Research
Curious Hierarchical Actor-Critic Reinforcement Learning Röder, Frank Eppe, Manfred Nguyen, Phuong D. H. Wermter, Stefan 2020 - TUHH Open Research
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid Kerzel, Matthias Eppe, Manfred Heinrich, Stefan Abawi, Fares Wermter, Stefan 2019 - TUHH Open Research
Curriculum goal masking for continuous deep reinforcement learning Eppe, Manfred Magg, Sven Wermter, Stefan 2019 - TUHH Open Research
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes Marzouk, Ahmed Barros, Pablo Eppe, Manfred Wermter, Stefan 2019 - TUHH Open Research
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving Eppe, Manfred Nguyen, Phuong D. H. Wermter, Stefan 2019 - TUHH Open Research
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification Barros, Pablo Eppe, Manfred Parisi, German I. Liu, Xun Wermter, Stefan 2019 - TUHH Open Research
Towards end-to-end raw audio music synthesis Eppe, Manfred Alpay, Tayfun Wermter, Stefan 2018 - TUHH Open Research
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot Eppe, Manfred Kerzel, Matthias Strahl, Erik Wermter, Stefan 2018 - TUHH Open Research
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception Strahl, Erik Kerzel, Matthias Eppe, Manfred Griffiths, Sascha Wermter, Stefan 2018 - TUHH Open Research
An analysis of subtask-dependency in robot command interpretation with dilated CNNs Eppe, Manfred Alpay, Tayfun Abawi, Fares Wermter, Stefan 2018 - TUHH Open Research
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking Eppe, Manfred Kerzel, Matthias Griffiths, Sascha Ng, Hwei Geok Wermter, Stefan 2017 - TUHH Open Research