Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR-Reference-Cited by-同舟云学术

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Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR

Published:2023-07 Issue: Volume:272 Page:110567
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Huale,Guo Zengyue,Liu Yang,Wang Xuan,Qi Shuhan^ORCID,Zhang Jiajia,Xiao Jing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference48 articles.

1. The Theory of Learning in Games, Vol. 1;Fudenberg,1998

2. Game Theory: Analysis of Conflict;Myerson,1997

3. A Course in Game Theory;Osborne,1994

4. The challenge of poker;Billings;Artificial Intelligence,2002

5. XDO: A double oracle algorithm for extensive-form games;McAleer;Adv. Neural Inf. Process. Syst.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games;Applied Soft Computing;2024-06

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