Trustworthy and explainable deep reinforcement learning for safe and energy-efficient process control: A use case in industrial compressed air systems

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-efficient operation under realistic boundary conditions and introduce a multi-level explainability pipeline combining input pert...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Vincent Bezold, Patrick Wagner, Jakob Hofmann, Marco Huber, Alexander Sauer
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2026-05-01
Цуврал:	Energy and AI
Нөхцлүүд:	Deep reinforcement learning Trustworthy artificial intelligence Explainable artificial intelligence Safe reinforcement learning Industrial process control Compressed air systems
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S266654682600011X
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!