2 papers
eess.SY2026
Model-Based Data-Efficient and Robust Reinforcement Learning
Ludvig Svedlund, Constantin Cronrath, Jonas Fredriksson +1
A data-efficient learning-based control design method is proposed in this paper. It is based on learning a system dynamics model that is then leveraged in a two-level procedure. On…
cs.RO2023
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck, Martin Kaiser, Constantin Cronrath +3
Safety-critical robot systems need thorough testing to expose design flaws and software bugs which could endanger humans. Testing in simulation is becoming increasingly popular, as…