Reinforcement Learning: Overview of Recent Progress and Potential Applications for Process Systems Engineering

Systems Conversation with Jay H. Lee, Korea Advanced Institute of Science and Technology

Provides a brief introduction to Reinforcement Learning (RL) technology, summarizes recent developments in this area, and discusses their potential implications for the field of process systems engineering. Particular focus is given on integrating planning and scheduling layers in multi-scale, multi-period, stochastic problems.

Watch Dr. Lee's talk "Reinforcement Learning- Overview of Recent Progress and Potential Applications for Process Systems Engineering" here: https://cornell.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9c348618-9d66-4403-a0c4-a92d013ff56d Biography Jay H. Lee obtained his B.S. degree in Chemical Engineering from the University of Washington, Seattle, in 1986, and his Ph.D. degree in Chemical Engineering from California Institute of Technology, Pasadena, in 1991.