Optimizing Coverage and Difficulty in Reinforcement Learning for Quiz Composition

ArXi:2603.27695v1 Announce Type: new Quiz design is a tedious process that teachers undertake to evaluate the acquisition of knowledge by students. Our goal in this paper is to automate quiz composition from a set of multiple choice questions (MCQs). We formalize a generic sequential decision-making problem with the goal of