Joschka Boedecker
10 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(57)
Top co-authors
Research topics
Artificial Intelligence
(7)
Reinforcement Learning
(7)
Machine Learning
(5)
Core AI
(5)
Methods
(5)
Deep Learning
(4)
Robotics
(4)
Applications
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Capabilities
(3)
Learning Types Β· Machine Learning
(3)
Learning Paradigms
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Keywords
model-based reinforcement learning
(3)
dynamics model
(2)
latent dynamics
(2)
continuous control
(2)
sim-to-real transfer
(1)
policy gradient
(1)
offline reinforcement learning
(1)
policy learning
(1)
imitation learning
(1)
adversarial training
(1)
visual representation
(1)
model predictive control
(1)
robust reinforcement learning
(1)
out-of-distribution generalization
(1)
gaussian process regression
(1)
autonomous driving
(1)
optimal control
(1)
inverse reinforcement learning
(1)
uncertainty quantification
(1)
online learning
(1)
Papers
Latent Linear Quadratic Regulator for Robotic Control Tasks
L4DC 2026
One For All: A Unified Approach to Classification and Self-Explanation
MICCAI 2025
Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification
ICLR 2025
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NeurIPS 2024
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
CoRL 2023
Latent Plans for Task-Agnostic Offline Reinforcement Learning
CoRL 2022
Deep Inverse Q-learning with Constraints
NeurIPS 2020
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
CoRL 2017
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
NeurIPS 2015
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression
RSS 2012