2 papers
cs.RO2026
Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback
Fabian Domberg, Georg Schildbach
As learning-based robotic controllers are typically trained offline and deployed with fixed parameters, their ability to cope with unforeseen changes during operation is limited. B…
cs.RO2025
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference
Fabian Domberg, Georg Schildbach
Learning-based controllers are often purposefully kept out of real-world applications due to concerns about their safety and reliability. We explore how state-of-the-art world mode…