Introduces P2MLE-UCB and GP2-UCB round-based algorithms achieving optimal regret bounds for multiplicative and general position-aware MNL bandits, with efficient optimization subroutines.
International conference on machine learning, 1245--1253 (PMLR)
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Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects
Introduces P2MLE-UCB and GP2-UCB round-based algorithms achieving optimal regret bounds for multiplicative and general position-aware MNL bandits, with efficient optimization subroutines.