Value functions for depth-limited solving in zero-sum imperfect-information games-Reference-Cited by-同舟云学术

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Value functions for depth-limited solving in zero-sum imperfect-information games

Published:2023-01 Issue: Volume:314 Page:103805
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Kovařík Vojtěch^ORCID,Seitz Dominik,Lisý Viliam^ORCID,Rudolf Jan,Sun Shuo,Ha Karel

Funder

Czech Science Foundation

Research Center for Informatics, Czech Technical University in Prague

Ministry of Education Youth and Sports of the Czech Republic

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference54 articles.

1. Deepstack: expert-level artificial intelligence in heads-up no-limit poker;Moravčík;Science,2017

2. Superhuman AI for heads-up no-limit poker: Libratus beats top professionals;Brown;Science,2017

3. Finding friend and foe in multi-agent games;Serrino;Adv. Neural Inf. Process. Syst.,2019

4. Depth-limited solving for imperfect-information games;Brown;Adv. Neural Inf. Process. Syst.,2018

5. Structure in the value function of two-player zero-sum games of incomplete information;Wiggers,2016

Cited by 2 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. Partially Observable Stochastic Games with Neural Perception Mechanisms;Lecture Notes in Computer Science;2024-09-11

2. HSVI Can Solve Zero-Sum Partially Observable Stochastic Games;Dynamic Games and Applications;2023-09-02

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