Advanced Bandit Algorithms Research

Using Dynamic Bayesian Optimization to Induce Desired Effects in the Presence of Motor Learning: a Simulation Study

This study simulates human-in-the-loop optimization using Bayesian Optimization (BO) and Dynamic Bayesian Optimization (DBO) to assess DBO's effectiveness in scenarios involving motor learning, finding that DBO generally outperforms BO after sufficient iterations.

Human belief state-based exploration and exploitation in an information-selective symmetric reversal bandit task

The paper presents a task and models human decision-making in an information-selective symmetric reversal bandit task, finding participants use a belief state-based hybrid strategy.