Join us as we sit down with Faras Brumand-Poor, the first author of the award-winning paper titled "Application of Deep Reinforcement Learning Control of an Inverted Hydraulic Pendulum" published in the International Journal of Fluid Power. Faras, along with his co-authors Lovis Kauderer, Gunnar Matthiesen, and Katharina Schmitz, from RWTH Aachen University, Institute for Fluid Power Drives and Systems (IFAS), discusses the innovative application of deep reinforcement learning in controlling an inverted hydraulic pendulum. This groundbreaking research has earned them the Best Paper Award for 2023. In this interview, Faras sheds light on the inspiration behind their research, its significance, and future implications.
Editor-in-Chief: Dr. Andrea Vacca, Purdue University, USA
Journal Publisher: Nicki Dennis
