Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling
Joint Authors
Li, Shuqin
Li, Saisai
Cao, Hengyang
Meng, Kun
Ding, Meng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Doudizhu poker is a very popular and interesting national poker game in China, and now it has become a national competition in China.
As this game is a typical example of incomplete information game problem, it has received more and more attention from artificial intelligence experts.
This paper proposes a multirole modeling-based card-playing framework.
This framework includes three parts: role modeling, cards carrying, and decision-making strategies.
Role modeling learns different roles and behaviors by using a convolutional neural network.
Cards carrying can calculate reasonable rules especially for “triplet” by using an evaluation algorithm.
Decision making is for implementing different card strategies for different player roles.
Experimental results showed that this card-playing framework makes playing decisions like human beings, and it can to some extent learn, collaborate, and reason when facing an incomplete information game problem.
This framework won the runner-up in the 2018 China Computer Game Competition.
American Psychological Association (APA)
Li, Shuqin& Li, Saisai& Cao, Hengyang& Meng, Kun& Ding, Meng. 2020. Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling. Complexity،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139958
Modern Language Association (MLA)
Li, Shuqin…[et al.]. Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling. Complexity No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139958
American Medical Association (AMA)
Li, Shuqin& Li, Saisai& Cao, Hengyang& Meng, Kun& Ding, Meng. Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling. Complexity. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139958
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139958