JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型

李霞丽; 樊霄宇; 喻俊志; 董志诚; 才让先木; 兰萍

doi:10.1631/FITEE.2500287

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JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型

常规文章 | Updated：2025-11-18

- JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型
- Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess
- “在Tibetan象棋人工智能领域，提出了一种两阶段的JFA模型，包括战略布局模型（SLM）和层次作战模型（HBM）。该模型有效地提高了Tibetan九棋的人工智能性能，达到了81%的胜率，与人类业余四段棋相当。”
- Frontiers of Information Technology & Electronic Engineering 2025年26卷第10期页码：1969-1983
- Affiliations：
  
  1.Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing 100081, China
  2.School of Information Engineering, Minzu University of China, Beijing 100081, China
  3.State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing 100871, China
  4.State Key Laboratory of General Artificial Intelligence, Peking University, Beijing 100871, China
  5.School of Information Science and Technology, Xizang University, Lhasa 850000, China
- Author bio：
  
  ‡ Corresponding authors
- Funds：
  
  National Natural Science Foundation of China(62276285;62236011)
- DOI：10.1631/FITEE.2500287
  中图分类号： TP18
- 收稿：2025-05-02，
  
  修回：2025-09-15，
  
  纸质出版：2025-10
- Accepted：
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李霞丽, 樊霄宇, 喻俊志, 等. JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1969-1983.

Xiali LI, Xiaoyu FAN, Junzhi YU, et al. Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1969-1983.
李霞丽, 樊霄宇, 喻俊志, 等. JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1969-1983. DOI： 10.1631/FITEE.2500287.

Xiali LI, Xiaoyu FAN, Junzhi YU, et al. Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1969-1983. DOI： 10.1631/FITEE.2500287.

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JFA：融合分层神经网络与人类知识的藏族久棋两阶段强化学习模型

Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess

DOI：10.1631/FITEE.2500287