  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:
https://github.com/tencent-ailab/mini-hok.
