Joschka Boedecker

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 82

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

Publications

Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. ICRA (2024)
Yuan Zhang, Umashankar Deekshith, Jianhong Wang, Joschka Boedecker
Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach. ICAPS (2024)
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. CoRR (2024)
Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, Joschka Boedecker
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations. CoRR (2024)
Mariella Dreissig, Florian Piewak, Joschka Boedecker
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. CoRR (2024)
Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Boedecker
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control. CoRR (2024)
Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka, Colin Jones, Joschka Boedecker
Latent Linear Quadratic Regulator for Robotic Control Tasks. CoRR (2024)
Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. CoRR (2024)
Ann-Kathrin Kiessner, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification. Comput. Biol. Medicine 178 (2024)
Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
UDUC: An Uncertainty-driven Approach for Learning-based Robust Control. CoRR (2024)
Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. CoRR (2023)
Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard
Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. CoRR (2023)
Yuan Zhang, Jianhong Wang, Joschka Boedecker
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRL (2023)
Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization. CoRR (2023)
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning. CoRR (2023)
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. ECMR (2023)
Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
Survey on LiDAR Perception in Adverse Weather Conditions. IV (2023)
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. IEEE Robotics Autom. Lett. 8 (11) (2023)
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. CoRR (2023)
Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR (2023)
Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
Survey on LiDAR Perception in Adverse Weather Conditions. CoRR (2023)
Mariella Dreissig, Florian Piewak, Joschka Boedecker
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation. CoRR (2023)
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. CoRR (2023)
Mariella Dreissig, Florian Piewak, Joschka Boedecker
On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation. ITSC (2023)
Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou
Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving. CoRR (2023)
Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. CDC (2023)
Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. CoRR (2023)
Maria Kalweit, Andrea M. Burden, Joschka Boedecker, Thomas Hügle, Theresa Burkard
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs. PLoS Comput. Biol. 19 (6) (2023)
Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. ECC (2023)
Mariella Dreissig, Florian Piewak, Joschka Boedecker
On the calibration of underrepresented classes in LiDAR-based semantic segmentation. CoRR (2022)
Branka Mirchevska, Moritz Werling, Joschka Boedecker
Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning. CoRR (2022)
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRL (2022)
Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. CoRR (2022)
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
Affordance Learning from Play for Sample-Efficient Policy Learning. CoRR (2022)
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
Affordance Learning from Play for Sample-Efficient Policy Learning. ICRA (2022)
Yuan Zhang, Jianhong Wang, Joschka Boedecker
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRR (2022)
Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada
Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. 2022 (2022)
Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. ICRA (2022)
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRR (2022)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR (2021)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS (2021)
Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. CoRR (2021)
Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI (2021)
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. ICRA (2021)
Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation. CoRR (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. IROS (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. NeurIPS (2020)
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. CoRR (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. ICRA (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. CoRR (2020)
Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard
Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning. IROS (2020)
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
Machine-learning-based diagnostics of EEG pathology. NeuroImage 220 (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. CoRR (2020)
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
Machine-Learning-Based Diagnostics of EEG Pathology. CoRR (2020)
Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. 4 (2) (2019)
Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR (2019)
Daniel Kuhner, Lukas Dominique Josef Fiederer, Johannes Aldinger, Felix Burget, Martin Völker, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing. Robotics Auton. Syst. 116 (2019)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. IROS (2019)
Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics 13 (2019)
Mohamed Abou-Hussein, Stefan H. Müller, Joschka Boedecker
Multimodal Spatio-Temporal Information in End-to-End Networks for Automotive Steering Prediction. ICRA (2019)
Gabriel Kalweit, Maria Hügle, Joschka Boedecker
Off-policy Multi-step Q-learning. CoRR (2019)
Jan M. Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
Adaptive long-term control of biological neural networks with Deep Reinforcement Learning. Neurocomputing 342 (2019)
Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR (2019)
Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. CoRR (2018)
Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. CoRR (2018)
Branka Mirchevska, Christian Pek, Moritz Werling, Matthias Althoff, Joschka Boedecker
High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning. ITSC (2018)
Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. IJCNN (2018)
Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters
Prediction of electrocardiography features points using seismocardiography data: a machine learning approach. UbiComp (2018)
Simon Heller, Maria Hügle, Iman Nematollahi, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Joschka Boedecker, Peter Woias
Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection. EMBC (2018)
Jan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
Controlling biological neural networks with deep reinforcement learning. ESANN (2018)
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
Deep reinforcement learning with successor features for navigation across similar environments. IROS (2017)
Gabriel Kalweit, Joschka Boedecker
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. CoRL (2017)
Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Voelker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills. CoRR (2017)
Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu
Neural SLAM. CoRR (2017)
Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Völker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills. ECMR (2017)
Sreedhar S. Kumar, Jan Wülfing, Samora Okujeni, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Comput. Biol. 12 (8) (2016)
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments. CoRR (2016)
Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. NIPS (2015)
Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer
Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. Künstliche Intell. 29 (4) (2015)
Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. CoRR (2015)
Joschka Boedecker, Jost Tobias Springenberg, Jan Wülfing, Martin A. Riedmiller
Approximate real-time optimal control based on sparse Gaussian process models. ADPRL (2014)
Oliver Obst, Joschka Boedecker, Benedikt Schmidt, Minoru Asada
On active information storage in input-driven systems CoRR (2013)
Oliver Obst, Joschka Boedecker
Guided Self-Organization of Input-Driven Recurrent Neural Networks. CoRR (2013)
Joschka Boedecker, Oliver Obst, Joseph T. Lizier, Norbert Michael Mayer, Minoru Asada
Information processing in echo state networks at the edge of chaos. Theory Biosci. 131 (3) (2012)
Christoph Hartmann, Joschka Boedecker, Oliver Obst, Shuhei Ikemoto, Minoru Asada
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression. Robotics: Science and Systems (2012)
Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith
Between Frustration and Elation: Sense of Control Regulates the lntrinsic Motivation for Motor Learning. Lifelong Learning (2011)
Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith
Trying anyways: How ignoring the errors may help in learning new skills. ICDL-EPIROB (2011)
Oliver Obst, Joschka Boedecker, Minoru Asada
Improving Recurrent Neural Network Performance Using Transfer Entropy. ICONIP (2) (2010)
Norbert Michael Mayer, Joschka Boedecker, Minoru Asada
Robot motion description and real-time management with the Harmonic Motion Description Protocol. Robotics Auton. Syst. 57 (8) (2009)
Joschka Boedecker, Oliver Obst, Norbert Michael Mayer, Minoru Asada
Studies on reservoir initialization and dynamics shaping in echo state networks. ESANN (2009)
Norbert Michael Mayer, Joschka Boedecker, Kazuhiro Masui, Masaki Ogino, Minoru Asada
HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction. RoboCup (2007)
Rodrigo da Silva Guerra, Joschka Boedecker, Norbert Michael Mayer, Shinzo Yanagimachi, Yasuji Hirosawa, Kazuhiko Yoshikawa, Masaaki Namekawa, Minoru Asada
Introducing Physical Visualization Sub-league. RoboCup (2007)
Norbert Michael Mayer, Joschka Boedecker, Rodrigo da Silva Guerra, Oliver Obst, Minoru Asada
3D2Real: Simulation League Finals in Real Robots. RoboCup (2006)
Joschka Boedecker, Norbert Michael Mayer, Masaki Ogino, Rodrigo da Silva Guerra, Masaaki Kikuchi, Minoru Asada
Getting closer: How Simulation and Humanoid League can benefit from each other. AMiRE (2005)
Oliver Obst, Joschka Boedecker
Flexible Coordination of Multiagent Team Behavior Using HTN Planning. RoboCup (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joschka Boedecker