Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry

Daphne Feng, Ricardo Parada, Lily Jiang +2

The multi-armed bandit problem is a central framework in sequential decision-making, extensively studied under sub-Gaussian reward assumptions. However, real-world applications oft…