2 papers
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.LG2023
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication
William Chang, Yuanhao Lu
We consider a cooperative multiplayer bandit learning problem where the players are only allowed to agree on a strategy beforehand, but cannot communicate during the learning proce…