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Learning to Decide: from no-regret learning to strategic games
Inaugural Lecture by Stratis Skoulakis.
Title
Learning to Decide: from no-regret learning to strategic games
Abstract
Learning to make effective decisions in dynamic and uncertain environments lies at the heart of both machine learning and game theory. This talk presents the conceptual and algorithmic connections between no-regret learning—a foundational framework in online decision-making—and strategic games, where multiple agents interact with potentially conflicting interests. We demonstrate how no-regret algorithms lead to equilibria in repeated games, providing a bridge between individual learning dynamics and collective strategic behavior.
Location:
Store Auditorium in InCuba Katrinebjerg, Åbogade 15, 8200 Aarhus N
When:
November 7, 2025, at 2:15 PM
There is no need to register


