JProf. Dr.  

Joschka Bödecker

Department of Computer Science, Faculty of Engineering, University of Freiburg
Georges-Köhler-Allee 201, 79110 Freiburg


Selected Publications

Kalweit M, Kalweit G, Werling M, and Boedecker J. Deep Surrogate Q-Learning for Autonomous Driving. In: International Conference on Robotics and Automation (ICRA’22). IEEE, 2022:1578–1584.

Kalweit G, Hügle M, Werling M, and Boedecker J. Q-learning with long-term action-space shaping to model complex behavior for autonomous lane changes. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’21). IEEE, 2021:5641–5648.

Kalweit G, Huegle M, Werling M, and Boedecker J. Deep inverse Q-learning with constraints. In: Advances in Neural Information Processing Systems 33 (NeurIPS’20). Ed. by Larochelle H, Ranzato M, Hadsell R, Balcan M, and Lin H. 2020:14291–14302.

Wuelfing JM, Kumar SS, Boedecker J, Riedmiller M, and Egert U. Adaptive long-term control of biological neural networks with deep reinforcement learning. Neurocomputing 2019;342:66–74.

Zhang J, Tai L, Yun P, Xiong Y, Liu M, Boedecker J, and Burgard W. VR-Goggles for robots: Real-to-sim domain adaptation for visual control. IEEE Robotics and Automation Letters 2019;4:1148–1155.

Hügle M, Heller S, Watter M, Blum M, Manzouri F, Dumpelmann M, Schulze-Bonhage A, Woias P, and Boedecker J. Early seizure detection with an energy-efficient convolutional neural network on an implantable microcontroller. In: 2018 International Joint Conference on Neural Networks (IJCNN’18). IEEE. 2018:507–513.

Kalweit G and Boedecker J. Uncertainty-driven imagination for continuous deep reinforcement learning. In: Proceedings of the 1st Annual Conference on Robot Learning. Ed. by Levine S, Vanhoucke V, and Goldberg K. Vol. 78. PMLR, 2017:195–206.

Watter M, Springenberg J, Boedecker J, and Riedmiller M. Embed to control: A locally linear latent dynamics model for control from raw images. In: Advances in Neural Information Processing Systems 28 (NIPS’15). Ed. by Cortes C, Lawrence ND, Lee DD, Sugiyama M, and Garnett R. 2015:2746–2754.

Boedecker J, Obst O, Lizier JT, Mayer N, and Asada M. Information processing in echostate networks at the edge of chaos. Theory in Biosciences 2011;131:205–213.

Zhang J, Tai L, Boedecker J, Burgard W, and Liu M. Neural SLAM: Learning to explore with external memory. 2017. arXiv: 1706.09520

Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg