Joschka Boedecker

According to our database, Joschka Boedecker authored at least 73 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Constrained Reinforcement Learning with Smoothed Log Barrier Function.

Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker

CoRR, 2024

Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design.

Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker

CoRR, 2024

2023

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation.

Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada

IEEE Robotics Autom. Lett., November, 2023

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning.

Nicolai Dorka, Tim Welschehold, Joschka Bödecker, Wolfram Burgard

IEEE Robotics Autom. Lett., 2023

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.

Maria Kalweit, Andrea M. Burden, Joschka Boedecker, Thomas Hügle, Theresa Burkard

PLoS Comput. Biol., 2023

CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations.

Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit

CoRR, 2023

L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization.

Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker

CoRR, 2023

Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning.

Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball

CoRR, 2023

Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning.

Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard

CoRR, 2023

Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles.

Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit

CoRR, 2023

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

Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou

CoRR, 2023

Survey on LiDAR Perception in Adverse Weather Conditions.

Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation.

Mariella Dreissig, Florian Piewak, Joschka Boedecker

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing.

Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl

Proceedings of the European Control Conference, 2023

Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model.

Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler

Proceedings of the European Conference on Mobile Robots, 2023

Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization.

Yuan Zhang, Jianhong Wang, Joschka Boedecker

Proceedings of the Conference on Robot Learning, 2023

Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation.

Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Robust and Data-efficient Q-learning by Composite Value-estimation.

Gabriel Kalweit, Maria Kalweit, Joschka Boedecker

Trans. Mach. Learn. Res., 2022

Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation.

Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada

IEEE Robotics Autom. Lett., 2022

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

Mariella Dreissig, Florian Piewak, Joschka Boedecker

CoRR, 2022

Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning.

Branka Mirchevska, Moritz Werling, Joschka Boedecker

CoRR, 2022

Deep Surrogate Q-Learning for Autonomous Driving.

Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Affordance Learning from Play for Sample-Efficient Policy Learning.

Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Latent Plans for Task-Agnostic Offline Reinforcement Learning.

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

Proceedings of the Conference on Robot Learning, 2022

2021

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning.

Nicolai Dorka, Joschka Boedecker, Wolfram Burgard

CoRR, 2021

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty.

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes.

Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values.

Maria Kalweit, Gabriel Kalweit, Joschka Boedecker

Proceedings of the Second Workshop on Artificial Intelligence for Function, 2021

Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways.

Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Machine-learning-based diagnostics of EEG pathology.

Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball

NeuroImage, 2020

A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis.

Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker

CoRR, 2020

Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving.

Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker

CoRR, 2020

Deep Inverse Q-learning with Constraints.

Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning.

Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving.

Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing.

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

Robotics Auton. Syst., 2019

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control.

Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard

IEEE Robotics Autom. Lett., 2019

Adaptive long-term control of biological neural networks with Deep Reinforcement Learning.

Jan M. Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert

Neurocomputing, 2019

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression.

Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball

Frontiers Neurorobotics, 2019

Off-policy Multi-step Q-learning.

Gabriel Kalweit, Maria Hügle, Joschka Boedecker

CoRR, 2019

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.

Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause

CoRR, 2019

Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration.

Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard

CoRR, 2019

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving.

Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Multimodal Spatio-Temporal Information in End-to-End Networks for Automotive Steering Prediction.

Mohamed Abou-Hussein, Stefan H. Müller, Joschka Boedecker

Proceedings of the International Conference on Robotics and Automation, 2019

2018

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control.

Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard

CoRR, 2018

High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning.

Branka Mirchevska, Christian Pek, Moritz Werling, Matthias Althoff, Joschka Boedecker

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller.

Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Prediction of electrocardiography features points using seismocardiography data: a machine learning approach.

Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Controlling biological neural networks with deep reinforcement learning.

Jan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection.

Simon Heller, Maria Hügle, Iman Nematollahi, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Joschka Boedecker, Peter Woias

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Neural SLAM.

Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu

CoRR, 2017

Deep reinforcement learning with successor features for navigation across similar environments.

Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks.

Wolfgang Groß, Sascha Lange, Joschka Bödecker, Manuel Blum

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills.

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

Proceedings of the 2017 European Conference on Mobile Robots, 2017

Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning.

Gabriel Kalweit, Joschka Boedecker

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Autonomous Optimization of Targeted Stimulation of Neuronal Networks.

Sreedhar S. Kumar, Jan Wülfing, Samora Okujeni, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert

PLoS Comput. Biol., 2016

2015

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.

Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer

Künstliche Intell., 2015

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images.

Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Approximate real-time optimal control based on sparse Gaussian process models.

Joschka Boedecker, Jost Tobias Springenberg, Jan Wülfing, Martin A. Riedmiller

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

On active information storage in input-driven systems

Oliver Obst, Joschka Boedecker, Benedikt Schmidt, Minoru Asada

CoRR, 2013

Guided Self-Organization of Input-Driven Recurrent Neural Networks.

Oliver Obst, Joschka Boedecker

CoRR, 2013

2012

Information processing in echo state networks at the edge of chaos.

Joschka Boedecker, Oliver Obst, Joseph T. Lizier, Norbert Michael Mayer, Minoru Asada

Theory Biosci., 2012

Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression.

Christoph Hartmann, Joschka Boedecker, Oliver Obst, Shuhei Ikemoto, Minoru Asada

Proceedings of the Robotics: Science and Systems VIII, 2012

2011

Trying anyways: How ignoring the errors may help in learning new skills.

Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Between Frustration and Elation: Sense of Control Regulates the lntrinsic Motivation for Motor Learning.

Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith

Proceedings of the Lifelong Learning, 2011

2010

Improving Recurrent Neural Network Performance Using Transfer Entropy.

Oliver Obst, Joschka Boedecker, Minoru Asada

Proceedings of the Neural Information Processing. Models and Applications, 2010

2009

Robot motion description and real-time management with the Harmonic Motion Description Protocol.

Norbert Michael Mayer, Joschka Boedecker, Minoru Asada

Robotics Auton. Syst., 2009

Studies on reservoir initialization and dynamics shaping in echo state networks.

Joschka Boedecker, Oliver Obst, Norbert Michael Mayer, Minoru Asada

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2007

HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction.

Norbert Michael Mayer, Joschka Boedecker, Kazuhiro Masui, Masaki Ogino, Minoru Asada

Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

Introducing Physical Visualization Sub-league.

Rodrigo da Silva Guerra, Joschka Boedecker, Norbert Michael Mayer, Shinzo Yanagimachi, Yasuji Hirosawa, Kazuhiko Yoshikawa, Masaaki Namekawa, Minoru Asada

Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

2006

3D2Real: Simulation League Finals in Real Robots.

Norbert Michael Mayer, Joschka Boedecker, Rodrigo da Silva Guerra, Oliver Obst, Minoru Asada

Proceedings of the RoboCup 2006: Robot Soccer World Cup X, 2006

2005

Flexible Coordination of Multiagent Team Behavior Using HTN Planning.

Oliver Obst, Joschka Boedecker

Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005

Getting closer: How Simulation and Humanoid League can benefit from each other.

Joschka Boedecker, Norbert Michael Mayer, Masaki Ogino, Rodrigo da Silva Guerra, Masaaki Kikuchi, Minoru Asada

Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005), 2005