2 papers
cs.LG2025
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
Vincent Bezold, Patrick Wagner, Jakob Hofmann +2
This paper presents a trustworthy reinforcement learning approach for the control of industrial compressed air systems. We develop a framework that enables safe and energy-efficien…
cs.LG2025
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization
Philipp Wagner, Tobias Nagel, Philipp Leube +1
Correctly setting the parameters of a production machine is essential to improve product quality, increase efficiency, and reduce production costs while also supporting sustainabil…