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Control Meets Learning Seminar

Wednesday, April 14, 2021
9:00am to 10:00am
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Online Event
Real-time Distributed Decision Making in Networked Systems
Na Li, Gordon McKay Professor, Electrical Engineering and Applied Mathematics in the School of Engineering and Applied Sciences (SEAS), Harvard University,

Monitoring and control for complex network systems are accelerated by the recent revolutions in sensing, computation, communication, and actuation technologies that boost the development and implementation of data-driven decision making. In this talk, we will focus on real-time distributed decision-making algorithms for networked systems. The first part will be on scalable multiagent reinforcement learning algorithms and the second part will be on the model free control methods for power systems based on continuous time zeroth order optimization methods. We will show that exploiting network structure or underlying physical dynamics will facilitate the design of scalable real-time learning and control methods.

For more information, please contact Jolene Brink by email at jbrink@caltech.edu or visit Control Meets Learning Website.