@inproceedings{ab5a9d292e6c44ec9bda99749ea9fcae,
title = "Solving six-player games via online situation estimation",
abstract = "While the artificial intelligence theory for solving the perfect-information games has been well developed in recent years, great challenges are still posed in dealing with the imperfect-information game due to the huge state space and hidden information involved in it. In this paper, we design an online strategy solving framework for six-player no-limit Texas hold'em poker. Based on hand isomorphism and hand strength evalution, the framework provides an efficient situation estimation method for six-player poker. Such method could greatly reduce the the state space in six-player poker as well as effectively evaluate the current hands. The poker agent based on our method won the third place in the 2018 AAAI-ACPC.",
keywords = "Game, Imperfect information, Poker, Six-player",
author = "Huale Li and Xuan Wang and Shuhan Qi and Yang Liu and Haojie Wang and Fengwei Jia and Jiajia Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019 ; Conference date: 04-11-2019 Through 06-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICTAI.2019.00270",
language = "英语",
series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",
publisher = "IEEE Computer Society",
pages = "1795--1799",
booktitle = "Proceedings - IEEE 31st International Conference on Tools with Artificial Intelligence, ICTAI 2019",
address = "美国",
}