Joschka Boedecker
9 papers · 2012–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (13)
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Academic Marathon
(13)
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Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(21)
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Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π±
Topic Pioneer
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Trend Setter
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Conference Pioneer
Conferences
CORL (3)
NIPS (3)
ICLR (1)
MICCAI (1)
RSS (1)
Top co-authors
Research topics
Keywords
model-based reinforcement learning
(3)
continuous control
(2)
dynamics model
(2)
offline reinforcement learning
(1)
sim-to-real transfer
(1)
policy gradient
(1)
imitation learning
(1)
autonomous driving
(1)
policy learning
(1)
adversarial training
(1)
visual representation
(1)
robust reinforcement learning
(1)
out-of-distribution generalization
(1)
inverse reinforcement learning
(1)
gaussian process regression
(1)
optimal control
(1)
uncertainty quantification
(1)
online learning
(1)
reward function
(1)
sample efficiency
(1)
Papers
Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification
ICLR 2025
One For All: A Unified Approach to Classification and Self-Explanation
MICCAI 2025
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NIPS 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
NIPS 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
NIPS 2015
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression
RSS 2012