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

Xiali LI; Xiaoyu FAN; Junzhi YU; Zhicheng DONG; Xianmu CAIRANG; Ping LAN

doi:10.1631/FITEE.2500287

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

Regular Papers | Updated：2025-11-18

- Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess
- 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
- “In the field of Tibetan Jiu chess AI, a two-stage model called JFA has been proposed, which includes strategic layout model (SLM) and hierarchical battle model (HBM). The model effectively enhances AI performance in Tibetan Jiu chess, achieving an 81% win rate comparable to a human amateur 4-dan player.”
- Frontiers of Information Technology & Electronic Engineering Vol. 26, Issue 10, Pages: 1969-1983(2025)
- 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：
- DOI：10.1631/FITEE.2500287
  CLC： TP18
- Received：02 May 2025，
  
  Revised：2025-09-15，
  
  Published：2025-10
- Accepted：
Scan QR Code
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：

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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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