Every Optimization Problem Is a Quadratic Program

Explore the fundamental concept that every optimization problem can be framed as a quadratic program in this illuminating lecture by Sean Meyn from the University of Florida. Delivered as part of the Theory of Reinforcement Learning Boot Camp at the Simons Institute, delve into the intricacies of optimization theory and its applications in reinforcement learning. Gain insights into how this perspective can simplify complex problems and provide a unified approach to various optimization challenges across different domains.