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  • title: Fair Exploration via Axiomatic Bargaining
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            Fair Exploration via Axiomatic Bargaining
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            Fair Exploration via Axiomatic Bargaining

            Dec 6, 2021

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            JB

            Jackie Baek

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            VF

            Vivek Farias

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            About

            Motivated by the consideration of fairly sharing the cost of exploration between multiple groups in learning problems, we develop the Nash bargaining solution in the context of multi-armed bandits. Specifically, the 'grouped' bandit associated with any multi-armed bandit problem associates, with each time step, a single group from some finite set of groups. The utility gained by a given group under some learning policy is naturally viewed as the reduction in that group's regret relative to the r…

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            NeurIPS 2021

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            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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