Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection. - Simon Heller; Maria Hügle; Iman Nematollahi; Farrokh Manzouri; Matthias Dümpelmann; Andreas Schulze-Bonhage; Joschka Boedecker; Peter Woias (EMBC, 2018)

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. - Maria Hügle; Simon Heller; Manuel Watter; Manuel Blum 002; Farrokh Manzouri; Matthias Dümpelmann; Andreas Schulze-Bonhage; Peter Woias; Joschka Boedecker (IJCNN, 2018)

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. - Maria Hügle; Gabriel Kalweit; Branka Mirchevska; Moritz Werling; Joschka Boedecker (IROS, 2019)

Off-policy Multi-step Q-learning. - Gabriel Kalweit; Maria Hügle; Joschka Boedecker (CoRR, 2019)

Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. - Maria Hügle; Gabriel Kalweit; Moritz Werling; Joschka Boedecker (ICRA, 2020)

Deep Inverse Q-learning with Constraints. - Gabriel Kalweit; Maria Hügle; Moritz Werling; Joschka Boedecker (NeurIPS, 2020)

Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. - Gabriel Kalweit; Maria Hügle; Moritz Werling; Joschka Boedecker (CoRR, 2020)

A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. - Maria Hügle; Gabriel Kalweit; Thomas Huegle; Joschka Boedecker (CoRR, 2020)

Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. - Branka Mirchevska; Maria Hügle; Gabriel Kalweit; Moritz Werling; Joschka Boedecker (ICRA, 2021)

Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. - Gabriel Kalweit; Maria Hügle; Moritz Werling; Joschka Boedecker (IROS, 2021)