Games are widely used as research environments for multi-agent reinforcement
learning (MARL), but they pose three significant challenges: limited
customization, high computational demands, and oversimplification. To address
these issues, we introduce the first publicly available map editor for the
popular mobile game Honor of Kings and design a lightweight environment, Mini
Honor of Kings (Mini HoK), for researchers to conduct experiments. Mini HoK is
highly efficient, allowing experiments to be run on personal PCs or laptops
while still presenting sufficient challenges for existing MARL algorithms. We
have tested our environment on common MARL algorithms and demonstrated that
these algorithms have yet to find optimal solutions within this environment.
This facilitates the dissemination and advancement of MARL methods within the
research community. Additionally, we hope that more researchers will leverage
the Honor of Kings map editor to develop innovative and scientifically valuable
new maps. Our code and user manual are available at:
this https URL

为了解决有限的定制性、高计算需求和过分简化等问题，我们介绍了首个公开可用的《王者荣耀》地图编辑器，并设计了一个轻量级环境 Mini Honor of Kings 供研究人员进行实验。Mini Honor of Kings 在个人电脑上运行效率很高，同时对目前的多智能体强化学习算法提出了足够的挑战。我们已经对常见的多智能体强化学习算法进行了测试，并展示了这些算法在该环境中尚未找到最优解，从而促进了 MARL 方法在研究社区中的传播和发展。此外，我们希望更多的研究人员能利用《王者荣耀》地图编辑器开发出创新且有科学价值的新地图。