DCM Bandits: Multiplayer Information Asymmetric Cascading Bandits for Multiple Clicks

In this work, we extend the Dependent Click Model (DCM) Bandits to a multiplayer information-asymmetric setting, where multiple agents interact with a shared ranked list and may observe multiple clicks per session, introducing new challenges for selection strategies. We study asymmetry in (1) action...