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Joschka Boedecker — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Joschka Boedecker
30
papers ·
277
citations ·
24
h-index
Allen Institute for Brain Science · University of Freiburg · University Medical Center Freiburg · Bernstein Center for Computational Neuroscience Freiburg · Brain (Germany)
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Most-cited papers
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
2016 · 70 citations
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning
2019 · 52 citations
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
2016 · 33 citations
Affordance Learning from Play for Sample-Efficient Policy Learning
2022 · 29 citations
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
2019 · 19 citations
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
2018 · 16 citations
Deep Constrained Q-learning
2020 · 14 citations
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
2021 · 10 citations
Latent Plans for Task-Agnostic Offline Reinforcement Learning
2022 · 5 citations
Deep Inverse Q-learning with Constraints
2020 · 4 citations
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
2019 · 3 citations
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
2025 · 1 citations
Deep Surrogate Q-Learning for Autonomous Driving
2020 · 1 citations
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
2022 · 1 citations
Information-Theoretic Policy Pre-Training with Empowerment
2025
Top co-authors
Gabriel Kalweit
· 9
Wolfram Burgard
· 7
Moritz Werling
· 5
Jingwei Zhang
· 4
Maria Huegle
· 4
Jasper Hoffmann
· 2
Lei Tai
· 2
Luigi Palmieri
· 2
Maria Kalweit
· 2
Ming Liu
· 2
Moritz Schneider
· 2
Narunas Vaskevicius
· 2
Topics
Model-Based RL
Value-Based
Offline RL
Safe RL
Policy Gradient
Exploration
Meta-RL
Multi-Agent