Joschka Boedecker

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Gabriel KalweitUniversity of FreiburgAdresă de e-mail confirmată pe cs.uni-freiburg.de
M AsadaProfessor of Osaka UniversityAdresă de e-mail confirmată pe ams.eng.osaka-u.ac.jp
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergAdresă de e-mail confirmată pe utn.de
Martin RiedmillerDeepMindAdresă de e-mail confirmată pe google.com
Oliver ObstAssociate Professor in Data Science, Western Sydney UniversityAdresă de e-mail confirmată pe uws.edu.au
Norbert Michael MayerAssociate Professor, Dept. of Electrical Engineering, Nat'l Chung Cheng University, TaiwanAdresă de e-mail confirmată pe ccu.edu.tw
Jingwei Zhanghenan universityAdresă de e-mail confirmată pe henu.edu.cn
Tonio BallNeuromedical AI Lab Uni Freiburg, NeuroMentum AI (CEO)Adresă de e-mail confirmată pe uniklinik-freiburg.de
Robin Tibor SchirrmeisterPhD Candidate, Neuromedical AI Lab and Machine Learning Lab, University FreiburgAdresă de e-mail confirmată pe uniklinik-freiburg.de
Maria KalweitUniversity of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Branka MirchevskaPhD candidate, University of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Jan Manuel WülfingDB Netz AGAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Thomas HügleUniversity Hospital Lausanne (CHUV), SwitzerlandAdresă de e-mail confirmată pe unibas.ch
Rodrigo da Silva GuerraAssociate Professor at FURG, BrazilAdresă de e-mail confirmată pe furg.br
Andreas Schulze-BonhageProfessor der Medizin, Albert-Ludwigs-Universität FreiburgAdresă de e-mail confirmată pe uniklinik-freiburg.de
Lei Tai (邰磊)Adresă de e-mail confirmată pe connect.ust.hk
Ming LiuROAS Thrust, Hong Kong University of Science and Technology (GZ)Adresă de e-mail confirmată pe hkust-gz.edu.cn
Manuel BlumUniversity of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Lukas D. J. FiedererManagement Trainee, Bosch Center for Artificial Intelligence, Renningen, GermanyAdresă de e-mail confirmată pe bosch.com
Martin VölkerRobert Bosch Quantum SensorsAdresă de e-mail confirmată pe pluto.uni-freiburg.de

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Joschka Boedecker

Professor of Computer Science, University of Freiburg, Germany

Adresă de e-mail confirmată pe informatik.uni-freiburg.de - Pagina de pornire

Artificial Intelligence Machine Learning Reinforcement Learning Robotics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	928	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	310*
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	297	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	228	2018
Machine-learning-based diagnostics of EEG pathology LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ... NeuroImage 220, 117021, 2020	199	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	174	2017
Uncertainty-driven imagination for continuous deep reinforcement learning G Kalweit, J Boedecker Conference on robot learning, 195-206, 2017	152	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	130	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	115	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	101	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	88	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	76	2019
Simspark–concepts and application in the robocup 3d soccer simulation league J Boedecker, M Asada Autonomous Robots 174, 181, 2008	70	2008
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	60	2023
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	51	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	47	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	43
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	41	2020

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