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As noted in the works of \cite{lattimore2020bandit}, it has been mentionedthat it is an open problem to characterize the minimax regret of linear banditsin a wide variety of action spaces. In this article we present an optimalregret lower bound for a wide class of convex action spaces.

On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces