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Nirjhar Das

2 accepted papers

2024

Generalized Linear Bandits with Limited Adaptivity

NeurIPS 2024spotlight

We study the generalized linear contextual bandit problem within the constraints of limited adaptivity. In this paper, we present two algorithms, B-GLinCB and RS-GLinCB, that address, respectively, two prevalent limited adaptivity settings. Given a budget $M$ on the number of policy updates, in the…