{"title":"机器学习方法在棋类游戏中的实现","authors":"Joanna Wiśniewska, Paweł Wójcik","doi":"10.5604/01.3001.0015.9191","DOIUrl":null,"url":null,"abstract":"The following work presents methods of using machine learning to teach a computer to play chess. The first method is based on using records of games played by highly ranked players. The second method is based on the Monte Carlo Tree Search algorithm and reinforcement learning.\n\n","PeriodicalId":240434,"journal":{"name":"Computer Science and Mathematical Modelling","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning methods in game of chess implementation\",\"authors\":\"Joanna Wiśniewska, Paweł Wójcik\",\"doi\":\"10.5604/01.3001.0015.9191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The following work presents methods of using machine learning to teach a computer to play chess. The first method is based on using records of games played by highly ranked players. The second method is based on the Monte Carlo Tree Search algorithm and reinforcement learning.\\n\\n\",\"PeriodicalId\":240434,\"journal\":{\"name\":\"Computer Science and Mathematical Modelling\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Science and Mathematical Modelling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0015.9191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science and Mathematical Modelling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0015.9191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine learning methods in game of chess implementation
The following work presents methods of using machine learning to teach a computer to play chess. The first method is based on using records of games played by highly ranked players. The second method is based on the Monte Carlo Tree Search algorithm and reinforcement learning.
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