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  • title: On the Complexity of Adversarial Decision Making
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            On the Complexity of Adversarial Decision Making
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            On the Complexity of Adversarial Decision Making

            Nov 28, 2022

            Speakers

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            Ayush Sekhari

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            Dylan J. Foster

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            AR

            Alexander Rakhlin

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            About

            A central problem in online learning and decision making—from bandits to reinforcement learning—is to understand whatmodeling assumptions lead to sample-efficient learning guarantees. With a focus on stochastic environments, a recent line of research provides general structural conditions under which sample-efficient learning is possible, but robust learning guarantees for agnostic or adversarial settings have remained elusive. We consider a general adversarial decision making framework that enc…

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            NeurIPS 2022

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