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
  • [1] Endgame Solving in Large Imperfect-Information Games
    Ganzfried, Sam
    Sandholm, Tuomas
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15), 2015, : 37 - 45
  • [2] Depth-Limited Solving for Imperfect-Information Games
    Brown, Noam
    Sandholm, Tuomas
    Amos, Brandon
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [3] Safe and Nested Subgame Solving for Imperfect-Information Games
    Brown, Noam
    Sandholm, Tuomas
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [4] Scalable sub-game solving for imperfect-information games
    Li, Huale
    Wang, Xuan
    Li, Kunchi
    Jia, Fengwei
    Wu, Yulin
    Zhang, Jiajia
    Qi, Shuhan
    KNOWLEDGE-BASED SYSTEMS, 2021, 231
  • [5] Solving Imperfect-Information Games via Discounted Regret Minimization
    Brown, Noam
    Sandholm, Tuomas
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 1829 - 1836
  • [6] Limited Lookahead in Imperfect-Information Games
    Kroer, Christian
    Sandholm, Tuomas
    PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, : 575 - 581
  • [7] Limited lookahead in imperfect-information games
    Kroer, Christian
    Sandholm, Tuomas
    ARTIFICIAL INTELLIGENCE, 2020, 283
  • [8] Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games
    Li, Kai
    Xu, Hang
    Fu, Haobo
    Fu, Qiang
    Xing, Junliang
    ARTIFICIAL INTELLIGENCE, 2024, 337
  • [9] Bayesian Opponent Exploitation in Imperfect-Information Games
    Ganzfried, Sam
    Sun, Qingyun
    PROCEEDINGS OF THE 2018 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG'18), 2018, : 181 - 188
  • [10] Value functions for depth-limited solving in zero-sum imperfect-information games
    Kovarik, Vojtech
    Seitz, Dominik
    Lisy, Viliam
    Rudolf, Jan
    Sun, Shuo
    Ha, Karel
    ARTIFICIAL INTELLIGENCE, 2023, 314
12345