Solve Game of the Amazons with Neural Networks and Distributed Computing
作者单位：School of Computer Science Shenyang Aerospace University Engineering Training Center Shenyang Aerospace University
会议名称：《第30届中国控制与决策会议》
会议日期：2018年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 070105[理学-运筹学与控制论] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Game of the Amazons Neural Networks Distributed Computing
摘 要：A training model was constructed with convolution neural network. Its policy network was trained by supervised learning. Then the parameters of the policy network were constantly adjusted by self-play and the game strength was enhanced. So it made it surpassed the existing game programs that simply used-pruning algorithm or Monte Carlo algorithm. By using distributed computing to update the data asynchronously, multiple game groups were allocated to different machines at the same time. In this way, a number of common configuration computers could be made full use of.