{"title":"使用强化学习的游戏玩法","authors":"Dilip Kumar, Ritesh Prasad, Kumar Ritu Raj Singh, Surbhi Singh","doi":"10.1109/DEVIC.2019.8783550","DOIUrl":null,"url":null,"abstract":"In this article we present a study of different Reinforcement Learning algorithms and how these algorithms can be used to train agents which can achieve human level performance in different games and control tasks.","PeriodicalId":294095,"journal":{"name":"2019 Devices for Integrated Circuit (DevIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gameplay using Reinforcement Learning\",\"authors\":\"Dilip Kumar, Ritesh Prasad, Kumar Ritu Raj Singh, Surbhi Singh\",\"doi\":\"10.1109/DEVIC.2019.8783550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article we present a study of different Reinforcement Learning algorithms and how these algorithms can be used to train agents which can achieve human level performance in different games and control tasks.\",\"PeriodicalId\":294095,\"journal\":{\"name\":\"2019 Devices for Integrated Circuit (DevIC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Devices for Integrated Circuit (DevIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEVIC.2019.8783550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Devices for Integrated Circuit (DevIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEVIC.2019.8783550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this article we present a study of different Reinforcement Learning algorithms and how these algorithms can be used to train agents which can achieve human level performance in different games and control tasks.
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