Sukruta Midigeshi

Contextual Slate GLM Bandits with Limited Adaptivity

We investigate the contextual slate bandit problem with generalized linear rewards under limited adaptivity. At each round, the learner is presented with $N$ sets of items and constructs a slate by selecting one item per set; the resulting slate yields a scalar reward sampled from a Generalized Line…