Solving imperfect-information games

被引：22
|
作者：
Sandholm, Tuomas [1 ]
机构：
[1] Carnegie Mellon Univ, Dept Comp Sci, Pittsburgh, PA 15213 USA
来源：
SCIENCE | 2015年 / 347卷 / 6218期
关键词：
D O I：
10.1126/science.aaa4614
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
收藏
页码：122 / 123
页数：2
相关论文
共 50 条
  • [21] Alpaga: A Tool for Solving Parity Games with Imperfect Information
    Berwanger, Dietmar
    Chatterjee, Krishnendu
    De Wulf, Martin
    Doyen, Laurent
    Henzinger, Thomas A.
    TOOLS AND ALGORITHMS FOR THE CONSTRUCTION AND ANALYSIS OF SYSTEMS, PROCEEDINGS, 2009, 5505 : 58 - +
  • [22] Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games
    Luo, Qian
    Tan, Tien -Ping
    APPLIED SOFT COMPUTING, 2024, 158
  • [23] Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
    Farina, Gabriele
    Pipis, Charilaos
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [24] Using structural information to construct ensemble representations in imperfect-information scenes
    Zhu, Jingyin
    Lu, Yilong
    Zhou, Jifan
    Shen, Mowei
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2023, 58 : 654 - 654
  • [25] Solving Imperfect Recall Games
    Cermak, Jiri
    AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 1820 - 1821
  • [26] A Review of Imperfect Information Games: Adversarial Solving Methods and Comparative Analysis
    Yu, Chao
    Liu, Zong-Kai
    Hu, Chao-Haon
    Huang, Kai-Qi
    Zhang, Jun-Ge
    Jisuanji Xuebao/Chinese Journal of Computers, 2024, 47 (09): : 2211 - 2246
  • [27] Research progress on sequential imperfect information game solving in computer games
    Luo J.-R.
    Zhang W.-P.
    Su J.-M.
    Wei T.-T.
    Chen J.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (10): : 2721 - 2748
  • [28] A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games
    Zhang, Li
    Chen, Yuxuan
    Wang, Wei
    Han, Ziliang
    Li, Shijian
    Pan, Zhijie
    Pan, Gang
    FRONTIERS OF COMPUTER SCIENCE, 2021, 15 (05)
  • [29] A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games
    Li ZHANG
    Yuxuan CHEN
    Wei WANG
    Ziliang HAN
    Shijian Li
    Zhijie PAN
    Gang PAN
    Frontiers of Computer Science, 2021, (05) : 135 - 148
  • [30] A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games
    Li Zhang
    Yuxuan Chen
    Wei Wang
    Ziliang Han
    Shijian Li
    Zhijie Pan
    Gang Pan
    Frontiers of Computer Science, 2021, 15
12345