Nash equilibrium strategy solving in two-player imperfect-information games: a survey.
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| Title: | Nash equilibrium strategy solving in two-player imperfect-information games: a survey. |
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| Authors: | Li, Huale1, lihuale@lzu.edu.cn, Wang, Zhaobin1, zhaobin_wang@hotmail.com, Yang, Zhen1, zhenyang@lzu.edu.cn, Qi, Shuhan2, shuhanqi@cs.hitsz.edu.cn, Zhang, Jiajia2, zhangjiajia@hit.edu.cn |
| Source: | Artificial Intelligence Review; Jun2026, Vol. 59 Issue 6, p1-51, 51p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193999068 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-026-11533-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 51 StartPage: 1 Titles: – TitleFull: Nash equilibrium strategy solving in two-player imperfect-information games: a survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Huale – PersonEntity: Name: NameFull: Wang, Zhaobin – PersonEntity: Name: NameFull: Yang, Zhen – PersonEntity: Name: NameFull: Qi, Shuhan – PersonEntity: Name: NameFull: Zhang, Jiajia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 59 – Type: issue Value: 6 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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