{"title":"相干光束合并的强化学习","authors":"H. Tünnermann, A. Shirakawa","doi":"10.1364/CLEOPR.2018.W1A.2","DOIUrl":null,"url":null,"abstract":"Reinforcement learning has been shown to be capable of solving complex tasks. Here we show potential advantages and disadvantages in the context of phase control for coherent beam combining.","PeriodicalId":184212,"journal":{"name":"2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Reinforcement Learning for Coherent Beam Combining\",\"authors\":\"H. Tünnermann, A. Shirakawa\",\"doi\":\"10.1364/CLEOPR.2018.W1A.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reinforcement learning has been shown to be capable of solving complex tasks. Here we show potential advantages and disadvantages in the context of phase control for coherent beam combining.\",\"PeriodicalId\":184212,\"journal\":{\"name\":\"2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/CLEOPR.2018.W1A.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/CLEOPR.2018.W1A.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reinforcement Learning for Coherent Beam Combining
Reinforcement learning has been shown to be capable of solving complex tasks. Here we show potential advantages and disadvantages in the context of phase control for coherent beam combining.