Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions

Charles Riou, Junya Honda

Abstract: We focus on a classic reinforcement learning problem, called a multi-armed bandit, and more specifically in the stochastic setting with reward distributions bounded in $[0,1]$. For this model, an o...