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Explore a 54-minute lecture from Georgia Tech's Jake Abernethy at Harvard CMSA's GRAMSIA series where he delves into solving optimization problems through game theory principles. Learn how two-player zero-sum games can be leveraged as a framework for tackling complex optimization challenges, with players utilizing learning algorithms to compete and generate approximate solutions. Discover the broad applications of this approach across optimization, learning, and margin-maximization problems, while gaining insights into both novel and classical tools in the field. Understand how player actions and decisions throughout the competitive process contribute to finding effective solutions in various scenarios.
