Joschka Boedecker

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Gabriel KalweitUniversity of FreiburgVerified email at cs.uni-freiburg.de
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
M AsadaProfessor of Osaka UniversityVerified email at ams.eng.osaka-u.ac.jp
Martin RiedmillerDeepMindVerified email at google.com
Oliver ObstAssociate Professor in Data Science, Western Sydney UniversityVerified email at uws.edu.au
Norbert Michael MayerAssociate Professor, Dept. of Electrical Engineering, Nat'l Chung Cheng University, TaiwanVerified email at ccu.edu.tw
Tonio BallNeuromedical AI Lab Uni Freiburg, NeuroMentum AI (CEO)Verified email at uniklinik-freiburg.de
Jingwei Zhanghenan universityVerified email at henu.edu.cn
Maria KalweitUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Robin Tibor SchirrmeisterPhD Candidate, Neuromedical AI Lab and Machine Learning Lab, University FreiburgVerified email at uniklinik-freiburg.de
Branka MirchevskaPhD candidate, University of FreiburgVerified email at informatik.uni-freiburg.de
Thomas HügleUniversity Hospital Lausanne (CHUV), SwitzerlandVerified email at unibas.ch
Jan Manuel WülfingDB InfraGOVerified email at deutschebahn.com
Rodrigo da Silva GuerraAssociate Professor at FURG, BrazilVerified email at furg.br
Andreas Schulze-BonhageProfessor der Medizin, Albert-Ludwigs-Universität FreiburgVerified email at uniklinik-freiburg.de
Lei TaiVerified email at connect.ust.hk
Ming LiuROAS Thrust, Hong Kong University of Science and Technology (GZ)Verified email at hkust-gz.edu.cn
Manuel BlumUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Lukas D. J. FiedererManagement Trainee, Bosch Center for Artificial Intelligence, Renningen, GermanyVerified email at bosch.com
Martin VölkerRobert Bosch Quantum SensorsVerified email at pluto.uni-freiburg.de

Joschka Boedecker

Professor of Computer Science, University of Freiburg, Germany

Verified email at informatik.uni-freiburg.de - Homepage

Artificial Intelligence Machine Learning Reinforcement Learning Robotics


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Embed to control: A locally linear latent dynamics model for control from raw images M Watter, J Springenberg, J Boedecker, M Riedmiller Advances in neural information processing systems 28, 2015	960	2015
Information Processing in Echo State Networks at the Edge of Chaos MA Joschka Boedecker, Oliver Obst, Joseph T. Lizier Theory in Biosciences 131 (3), 205-213, 0	317*
Deep reinforcement learning with successor features for navigation across similar environments J Zhang, JT Springenberg, J Boedecker, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	309	2017
High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning B Mirchevska, C Pek, M Werling, M Althoff, J Boedecker 2018 21st International Conference on Intelligent Transportation Systems …, 2018	238	2018
Machine-learning-based diagnostics of EEG pathology LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ... NeuroImage 220, 117021, 2020	207	2020
Neural slam: Learning to explore with external memory J Zhang, L Tai, J Boedecker, W Burgard, M Liu arXiv preprint arXiv:1706.09520, 2017	176	2017
Uncertainty-driven imagination for continuous deep reinforcement learning G Kalweit, J Boedecker Conference on robot learning, 195-206, 2017	158	2017
Vr-goggles for robots: Real-to-sim domain adaptation for visual control J Zhang, L Tai, P Yun, Y Xiong, M Liu, J Boedecker, W Burgard IEEE Robotics and Automation Letters 4 (2), 1148-1155, 2019	137	2019
Applied machine learning and artificial intelligence in rheumatology M Hügle, P Omoumi, JM van Laar, J Boedecker, T Hügle Rheumatology advances in practice 4 (1), rkaa005, 2020	127	2020
Approximate real-time optimal control based on sparse gaussian process models J Boedecker, JT Springenberg, J Wülfing, M Riedmiller 2014 IEEE symposium on adaptive dynamic programming and reinforcement …, 2014	104	2014
A survey of deep network solutions for learning control in robotics: From reinforcement to imitation L Tai, J Zhang, M Liu, J Boedecker, W Burgard arXiv preprint arXiv:1612.07139, 2016	97	2016
Autonomous learning of state representations for control: An emerging field aims to autonomously learn state representations for reinforcement learning agents from their real … W Böhmer, JT Springenberg, J Boedecker, M Riedmiller, K Obermayer KI-Künstliche Intelligenz 29 (4), 353-362, 2015	90	2015
Dynamic input for deep reinforcement learning in autonomous driving M Huegle, G Kalweit, B Mirchevska, M Werling, J Boedecker 2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019	79	2019
Latent plans for task-agnostic offline reinforcement learning E Rosete-Beas, O Mees, G Kalweit, J Boedecker, W Burgard Conference on Robot Learning, 1838-1849, 2023	71	2023
Simspark–concepts and application in the robocup 3d soccer simulation league J Boedecker, M Asada Autonomous Robots 174, 181, 2008	71	2008
Early seizure detection with an energy-efficient convolutional neural network on an implantable microcontroller M Hügle, S Heller, M Watter, M Blum, F Manzouri, M Dumpelmann, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018	53	2018
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing D Kuhner, LDJ Fiederer, J Aldinger, F Burget, M Völker, RT Schirrmeister, ... Robotics and Autonomous Systems 116, 98-113, 2019	51	2019
Initialization and self‐organized optimization of recurrent neural network connectivity J Boedecker, O Obst, NM Mayer, M Asada HFSP journal 3 (5), 340-349, 2009	47	2009
Deep reinforcement learning with successor features for navigation across similar environments. In 2017 IEEE J Zhang, JT Springenberg, J Boedecker, W Burgard RSJ International Conference on Intelligent Robots and Systems (IROS), 2371-2378, 0	45
Dynamic interaction-aware scene understanding for reinforcement learning in autonomous driving M Hügle, G Kalweit, M Werling, J Boedecker 2020 IEEE international conference on robotics and automation (ICRA), 4329-4335, 2020	42	2020

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