no code implementations • 29 Sep 2021 • Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, Leonardo Stella, Xianzhong Zhou
It is also the first time in this field that an algorithm design for intelligent wargaming combines multi-attribute decision making with reinforcement learning.
no code implementations • 6 Sep 2021 • Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, XiaoYu Zhang, Xianzhong Zhou
Researchers are increasingly focusing on intelligent games as a hot research area. The article proposes an algorithm that combines the multi-attribute management and reinforcement learning methods, and that combined their effect on wargaming, it solves the problem of the agent's low rate of winning against specific rules and its inability to quickly converge during intelligent wargame training. At the same time, this paper studied a multi-attribute decision making and reinforcement learning algorithm in a wargame simulation environment, and obtained data on red and blue conflict. Calculate the weight of each attribute based on the intuitionistic fuzzy number weight calculations.