Arda Güçlü

A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets

Linear bandits model sequential decision-making problems with noisy rewards that are linear in the decision variable, where an agent must simultaneously learn about an unknown parameter that governs the mean rewards, while maximizing (expected) rewards over time. Two prominent algorithmic families--upper confidence bou...