中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Self-teaching adaptive dynamic programming for Gomoku

文献类型:期刊论文

作者Zhao, Dongbin; Zhang, Zhen; Dai, Yujie
刊名NEUROCOMPUTING
出版日期2012-02-15
卷号78期号:1页码:23-29
关键词Gomoku Reinforcement learning Adaptive dynamic programming Temporal difference learning Neural network
英文摘要In this paper adaptive dynamic programming (ADP) is applied to learn to play Gomoku. The critic network is used to evaluate board situations. The basic idea is to penalize the last move taken by the loser and reward the last move selected by the winner at the end of a game. The results show that the presented program is able to improve its performance by playing against itself and has approached the candidate level of a commercial Gomoku program called 5-star Gomoku. We also examined the influence of two methods for generating games: self-teaching and learning through watching two experts playing against each other and presented the comparison results and reasons. (C) 2011 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]PLAY
收录类别SCI
语种英语
WOS记录号WOS:000298528200004
源URL[http://ir.ia.ac.cn/handle/173211/3874]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Dongbin,Zhang, Zhen,Dai, Yujie. Self-teaching adaptive dynamic programming for Gomoku[J]. NEUROCOMPUTING,2012,78(1):23-29.
APA Zhao, Dongbin,Zhang, Zhen,&Dai, Yujie.(2012).Self-teaching adaptive dynamic programming for Gomoku.NEUROCOMPUTING,78(1),23-29.
MLA Zhao, Dongbin,et al."Self-teaching adaptive dynamic programming for Gomoku".NEUROCOMPUTING 78.1(2012):23-29.

入库方式: OAI收割

来源:自动化研究所

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