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Joschka Boedecker
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Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving


Jan 30, 2023
Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou

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A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing


Dec 03, 2022
Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl

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On the calibration of underrepresented classes in LiDAR-based semantic segmentation


Oct 13, 2022
Mariella Dreissig, Florian Piewak, Joschka Boedecker

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Latent Plans for Task-Agnostic Offline Reinforcement Learning


Sep 19, 2022
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

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* CoRL 2022. Project website: http://tacorl.cs.uni-freiburg.de/ 
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Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization


Jul 05, 2022
Yuan Zhang, Jianhong Wang, Joschka Boedecker

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Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning


Mar 21, 2022
Branka Mirchevska, Moritz Werling, Joschka Boedecker

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Affordance Learning from Play for Sample-Efficient Policy Learning


Mar 01, 2022
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukas Hermann, Joschka Boedecker, Wolfram Burgard

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* Accepted at the 2022 IEEE International Conference on Robotics and Automation (ICRA). Videos at http://vapo.cs.uni-freiburg.de/ 
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning


Nov 24, 2021
Nicolai Dorka, Joschka Boedecker, Wolfram Burgard

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Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation


Oct 07, 2021
Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada

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* Video, code and models available at http://ceiling.cs.uni-freiburg.de/ 
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Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty


Jun 08, 2021
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann

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