Game theory has by now found numerous applications in various fields,
including economics, industry, jurisprudence, and artificial intelligence,
where each player only cares about its own interest in a noncooperative or
cooperative manner, but without obvious malice to other players. However, in
many practical applications, such as poker, chess, evader pursuing, drug
interdiction, coast guard, cyber-security, and national defense, players often
have apparently adversarial stances, that is, selfish actions of each player
inevitably or intentionally inflict loss or wreak havoc on other players. Along
this line, this paper provides a systematic survey on three main game models
widely employed in adversarial games, i.e., zero-sum normal-form and
extensive-form games, Stackelberg (security) games, zero-sum differential
games, from an array of perspectives, including basic knowledge of game models,
(approximate) equilibrium concepts, problem classifications, research
frontiers, (approximate) optimal strategy seeking techniques, prevailing
algorithms, and practical applications. Finally, promising future research
directions are also discussed for relevant adversarial games.

本文从多个角度对对抗博弈中三种主要的游戏模型（零和标准型和扩展型游戏，Stakelberg 安全游戏和零和微分游戏）进行了系统的调研，涵盖了游戏模型基础知识，平衡概念，问题分类，研究前沿，最优策略寻找技术，主要算法和实际应用，并探讨了未来的研究方向。