智能系统学报2023，Vol.18Issue(6)：1143-1155,13.DOI:10.11992/tis.202211028
麻将博弈AI构建方法综述
Survey of Mahjong game AI construction methods
摘要
Abstract
Mahjong and its different variants have complex rules.Therefore,building a high-level Mahjong game artifi-cial intelligence(AI)algorithm and its test environment is challenging.Through the analysis of relevant research literat-ure on Mahjong game,this paper identified two types of Mahjong AI construction methods based on knowledge and data.Moreover,the advantages and disadvantages of each typical method are analyzed,emphasizing the construction method of Suphx.The problems and challenges encountered in constructing Mahjong AI are identified,suggesting the need to apply experience replay,hierarchical reinforcement learning,curiosity model,opponent model,metalearning,transfer learning,and curriculum learning to the AI algorithm optimization of Mahjong game and construct diversified Mahjong AI evaluation indicators,general confrontation platforms,and high-quality data sets.These problems are all promising research directions for the future.关键词
机器博弈/非完备信息博弈/麻将/Suphx/知识/对手建模/深度学习/强化学习Key words
computer games/imperfect information game/Mahjong/Suphx/knowledge/opponent modeling/deep learning/reinforcement learning分类
计算机与自动化引用本文复制引用
李霞丽,王昭琦,刘博,吴立成..麻将博弈AI构建方法综述[J].智能系统学报,2023,18(6):1143-1155,13.基金项目
国家自然科学基金项目(61873291,62276285). （61873291,62276285）
