Maria Hügle

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Reinforcement Learning

Video Recordings

Autonomous Driving

Top Venues

Publications

Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. ICRA (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. IROS (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. NeurIPS (2020)
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. CoRR (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. ICRA (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. IROS (2019)
Gabriel Kalweit, Maria Hügle, Joschka Boedecker
Off-policy Multi-step Q-learning. CoRR (2019)
Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. CoRR (2018)
Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. IJCNN (2018)
Simon Heller, Maria Hügle, Iman Nematollahi, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Joschka Boedecker, Peter Woias
Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection. EMBC (2018)