Reinforcement Learning and Data-Driven Intelligent Control Systems

Date: 2024/11/08 - 2024/11/08

Seminar title: Reinforcement Learning and Data-Driven Intelligent Control Systems

Speaker: Weinan Gao, Northeastern University

Time: 10:00 - 11:30, November 8, 2024 (Beijing Time)

Location: CIMC Auditorium (Room 300), JI Long Bin Building

Abstract

As an important branch of machine learning, reinforcement learning concerns how an agent interacts with uncertain environment to minimize the cumulative cost. Reinforcement learning, and intelligent control techniques have been combined to develop data-driven optimal controllers for dynamic systems with unknown dynamics. In this talk, I will discuss how to leverage reinforcement learning and intelligent control as efficient tools to address complex control problems, including output regulation, cooperative control, and output-feedback control. Practical examples involve power systems and connected autonomous vehicles.

Biography

Weinan Gao received the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA. He is a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. Prof. Gao is the recipient of the best paper award in IEEE Data Driven Control and Learning Systems (DDCLS) Conference in 2023, IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018 and the David Goodman Research Award at New York University.