Joschka Boedecker
Joschka Boedecker
Assistant Professor of Computer Science, University of Freiburg, Germany
Verified email at - Homepage
Cited by
Cited by
Embed to control: A locally linear latent dynamics model for control from raw images
M Watter, JT Springenberg, J Boedecker, M Riedmiller
arXiv preprint arXiv:1506.07365, 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
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
Neural slam: Learning to explore with external memory
J Zhang, L Tai, J Boedecker, W Burgard, M Liu
arXiv preprint arXiv:1706.09520, 2017
Uncertainty-driven imagination for continuous deep reinforcement learning
G Kalweit, J Boedecker
Conference on Robot Learning, 195-206, 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
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
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
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
Simspark–concepts and application in the robocup 3d soccer simulation league
J Boedecker, M Asada
Autonomous Robots 174, 181, 2008
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
Machine-learning-based diagnostics of EEG pathology
LAW Gemein, RT Schirrmeister, P Chrabąszcz, D Wilson, J Boedecker, ...
NeuroImage 220, 117021, 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
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
Proceedings of Robotics: Science and Systems VIII, 2012
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
Flexible coordination of multiagent team behavior using HTN planning
O Obst, J Boedecker
Robot Soccer World Cup, 521-528, 2005
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
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
Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills
F Burget, LDJ Fiederer, D Kuhner, M Völker, J Aldinger, RT Schirrmeister, ...
2017 European Conference on Mobile Robots (ECMR), 1-6, 2017
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
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