标题： 酸模：一个多智能体强化学习的简单且灵活的框架 显示英文标题

标题： Sorrel: A simple and flexible framework for multi-agent reinforcement learning

摘要： 我们介绍了Sorrel（https://github.com/social-ai-uoft/sorrel），这是一个简单的用于生成和测试多智能体强化学习环境的Python接口。该接口非常注重简洁性和易用性，并且使用了在基本智能体-环境循环上更具心理直觉性的结构，使其成为社会科学领域研究学习和社会互动如何导致群体动态发展和变化的一个有用的工具。在这篇短文中，我们概述了Sorrel的基本设计哲学和特性。 显示英文摘要

摘要： We introduce Sorrel (https://github.com/social-ai-uoft/sorrel), a simple Python interface for generating and testing new multi-agent reinforcement learning environments. This interface places a high degree of emphasis on simplicity and accessibility, and uses a more psychologically intuitive structure for the basic agent-environment loop, making it a useful tool for social scientists to investigate how learning and social interaction leads to the development and change of group dynamics. In this short paper, we outline the basic design philosophy and features of Sorrel.