Joschka Boedecker

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M AsadaProfessor of Osaka University確認したメールアドレス: ams.eng.osaka-u.ac.jp
Wolfram BurgardProfessor of Computer Science, University of Freiburg確認したメールアドレス: informatik.uni-freiburg.de
Oliver ObstAssociate Professor in Data Science, Western Sydney University確認したメールアドレス: uws.edu.au
Gabriel KalweitUniversity of Freiburg確認したメールアドレス: cs.uni-freiburg.de
Norbert Michael MayerAssociate Professor, Dept. of Electrical Engineering, Nat'l Chung Cheng University, Taiwan確認したメールアドレス: ccu.edu.tw
Martin RiedmillerDeepMind確認したメールアドレス: google.com
Jost Tobias SpringenbergAlbert-Ludwigs-Universität Freiburg確認したメールアドレス: informatik.uni-freiburg.de
Maria Kalweit geb. HüglePh.D. Candidate, University of Freiburg確認したメールアドレス: informatik.uni-freiburg.de
Jingwei Zhanghenan university確認したメールアドレス: henu.edu.cn
Rodrigo da Silva GuerraAdjunct Professor at UFSM, Brazil確認したメールアドレス: ufsm.br
Tonio BallHead of Neuromedical AI Lab Freiburg確認したメールアドレス: uniklinik-freiburg.de
Branka MirchevskaPhD candidate, University of Freiburg確認したメールアドレス: informatik.uni-freiburg.de
Robin Tibor SchirrmeisterPhD Candidate, Neuromedical AI Lab and Machine Learning Lab, University Freiburg確認したメールアドレス: uniklinik-freiburg.de
Jan Manuel WülfingDB Netz AG確認したメールアドレス: informatik.uni-freiburg.de
Lei Tai (邰磊)Autonomous Driving Solution, Huawei確認したメールアドレス: connect.ust.hk
Ming LiuAssociate Prof, RAM-LAB, IADC, ECE, Hong Kong University of Science and Technology確認したメールアドレス: ust.hk
Thomas HügleUniversity Hospital Lausanne (CHUV), Switzerland確認したメールアドレス: unibas.ch
Andreas Schulze-BonhageProfessor der Medizin, Albert-Ludwigs-Universität Freiburg確認したメールアドレス: uniklinik-freiburg.de
Manuel BlumUniversity of Freiburg確認したメールアドレス: informatik.uni-freiburg.de
Lukas D. J. FiedererManagement Trainee, Bosch Center for Artificial Intelligence, Renningen, Germany確認したメールアドレス: bosch.com

フォロー

Joschka Boedecker

Assistant Professor of Computer Science, University of Freiburg, Germany

確認したメールアドレス: informatik.uni-freiburg.de - ホームページ

Artificial Intelligence Machine Learning Reinforcement Learning Robotics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	678	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	229*
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	218	2017
Neural slam: Learning to explore with external memory J Zhang, L Tai, J Boedecker, W Burgard, M Liu arXiv preprint arXiv:1706.09520, 2017	136	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	109	2018
Uncertainty-driven imagination for continuous deep reinforcement learning G Kalweit, J Boedecker Conference on Robot Learning, 195-206, 2017	107	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	90	2019
Machine-learning-based diagnostics of EEG pathology LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ... NeuroImage 220, 117021, 2020	76	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	73	2014
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	69	2015
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	67	2016
Simspark–concepts and application in the robocup 3d soccer simulation league J Boedecker, M Asada Autonomous Robots 174, 181, 2008	64	2008
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	50	2020
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	45	2009
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	38	2019
Real-time inverse dynamics learning for musculoskeletal robots based on echo state gaussian process regression C Hartmann, J Boedecker, O Obst, S Ikemoto, M Asada Robotics: Science and Systems VIII, 113-120, 2013	36	2013
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	35	2018
Flexible coordination of multiagent team behavior using HTN planning O Obst, J Boedecker Robot Soccer World Cup, 521-528, 2005	33	2005
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	30	2019
3D2Real: Simulation league finals in real robots N Mayer, J Boedecker, R da Silva Guerra, O Obst, M Asada RoboCup 2006: Robot Soccer World Cup X, 25-34, 2007	30	2007

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