Learning in Generalized Linear Contextual Bandits with Stochastic Delays

NeurIPS 2019 Zhengyuan ZhouRenyuan XuJose Blanchet

In this paper, we consider online learning in generalized linear contextual bandits where rewards are not immediately observed. Instead, rewards are available to the decision maker only after some delay, which is unknown and stochastic, even though a decision must be made at each time step for an incoming set of contexts... (read more)

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