{"title":"企业自动化:一种强化学习方法","authors":"Ipseeta Nanda, Rajesh De","doi":"10.26480/imcs.02.2022.28.30","DOIUrl":null,"url":null,"abstract":"In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning","PeriodicalId":292564,"journal":{"name":"INFORMATION MANAGEMENT AND COMPUTER SCIENCE","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FIRM AUTOMATION: A REINFORCEMENT LEARNING APPROACH\",\"authors\":\"Ipseeta Nanda, Rajesh De\",\"doi\":\"10.26480/imcs.02.2022.28.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning\",\"PeriodicalId\":292564,\"journal\":{\"name\":\"INFORMATION MANAGEMENT AND COMPUTER SCIENCE\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INFORMATION MANAGEMENT AND COMPUTER SCIENCE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26480/imcs.02.2022.28.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INFORMATION MANAGEMENT AND COMPUTER SCIENCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26480/imcs.02.2022.28.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FIRM AUTOMATION: A REINFORCEMENT LEARNING APPROACH
In most automation, we use ANN or RNN based algorithms. This results well but the prior information is what actions were previously taken by a human, this cannot be the only measure of learning a process we know humans learn everything with experience. And the most appropriate algorithm to learn like a human is Reinforcement Learning
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