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eess.SY2026
To Learn or Not to Learn: A Litmus Test for Using Reinforcement Learning in Control
Victor Schulte, Michael Eichelbeck, Matthias Althoff
Reinforcement learning (RL) can be a powerful alternative to classical control methods when standard model-based control is insufficient, e.g., when deriving a suitable model is in…
eess.SY2026
Divide and Discard: Fast Tightening of Guaranteed State Bounds for Nonlinear Systems
Nico Holzinger, Matthias Althoff
We propose a simple yet effective divide-and-discard (DD) approach to guaranteed state estimation for nonlinear discrete-time systems. Our method iteratively subdivides interval en…