TL;DR基于社会学习原理的 Social Interpretable RL (SIRL) 是一种改善学习效率的新型基于人口的方法，通过模拟社会学习过程使每个群体中的智能体基于自身的个体经验和与同伴的共同经验来解决给定任务，实现了在高风险场景中解释能力关键的强化学习应用。
Abstract
reinforcement learning (RL) bears the promise of being an enabling technology
for many applications. However, since most of the literature in the field is
currently focused on opaque models, the use of RL in high-stakes scenarios,
where interpretability is crucial, is still limited. Re