machine learning
Richard Y. Zhang — Scalable and Guaranteed Computation: Optimization and Machine Learning for the Future Electric Grid
George B. Dantzig Auditorium - 1174 Etcheverry Hall Etcheverry Hall, Berkeley, CA, United StatesAbstract: Computation promises to greatly enhance the electric grid through optimization and machine learning. However, many computational problems remain unsolved at the scale, speed, and quality necessary for the real world, due to issues of complexity and nonconvexity. In the first part of this talk, we solve the optimization problem known as optimal power flow…
Mathieu Laurière — Machine Learning Methods for Mean Field Control and Mean Field Games
Abstract: Mean field games (MFG) and mean field control (MFC) describe the behavior of agents interacting in a symmetric fashion when the number of agents grows to infinity. The first theory captures a notion of Nash equilibrium for selfish players while the second one focuses on the notion of social cost for cooperative agents. In…
Mathieu Laurière — Machine Learning Methods for Mean Field Control and Mean Field Games
Abstract: Mean field games (MFG) and mean field control (MFC) describe the behavior of agents interacting in a symmetric fashion when the number of agents grows to infinity. The first theory captures a notion of Nash equilibrium for selfish players while the second one focuses on the notion of social cost for cooperative agents. In…