2 papers
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…
math.OC2026
Pruning for efficient deterministic global optimization over trained ReLU neural networks
Giacomo Lastrucci, Tanuj Karia, Victor Schulte +2
Neural networks are increasingly used as surrogates in optimization problems to replace computationally expensive models. However, embedding ReLU neural networks in mathematical pr…