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cs.LG2025
Multiplayer Information Asymmetric Contextual Bandits
William Chang, Yuanhao Lu
Single-player contextual bandits are a well-studied problem in reinforcement learning that has seen applications in various fields such as advertising, healthcare, and finance. In…
cs.LG2025
Multiplayer Information Asymmetric Bandits in Metric Spaces
William Chang, Aditi Karthik
In recent years the information asymmetric Lipschitz bandits In this paper we studied the Lipschitz bandit problem applied to the multiplayer information asymmetric problem studied…