3 papers
cs.AI2026
Keeping JEPA World Models Plannable When Little of the Frame Moves
Florian Strohm, Patrick Wagner, Jannik Schwab +1
Specifying a goal in language rather than as a goal frame is a natural interface for planning with a latent world model, but testing it needs scenes in which language must discrimi…
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.CR2024
Deployment Challenges of Industrial Intrusion Detection Systems
Konrad Wolsing, Eric Wagner, Frederik Basels +2
With the escalating threats posed by cyberattacks on Industrial Control Systems (ICSs), the development of customized Industrial Intrusion Detection Systems (IIDSs) received signif…