most citedIntegrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 1 cited

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection

Peter Henderson, Ben Chugg, Brandon Anderson +5

We introduce a new setting, optimize-and-estimate structured bandits. Here, a policy must select a batch of arms, each characterized by its own context, that would allow it to both…