{"title":"利用传统控制器快速训练深度强化学习控制策略","authors":"Md Shadab Alam, Ignacio Carlucho","doi":"10.1080/20464177.2024.2367276","DOIUrl":null,"url":null,"abstract":"In recent years, Autonomous Ships have become a focal point for research, specifically emphasizing improving ship autonomy. Machine Learning Controllers, especially those based on Reinforcement Lea...","PeriodicalId":501496,"journal":{"name":"Journal of Marine Engineering & Technology","volume":"31 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harnessing traditional controllers for fast-track training of deep reinforcement learning control strategies\",\"authors\":\"Md Shadab Alam, Ignacio Carlucho\",\"doi\":\"10.1080/20464177.2024.2367276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, Autonomous Ships have become a focal point for research, specifically emphasizing improving ship autonomy. Machine Learning Controllers, especially those based on Reinforcement Lea...\",\"PeriodicalId\":501496,\"journal\":{\"name\":\"Journal of Marine Engineering & Technology\",\"volume\":\"31 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marine Engineering & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20464177.2024.2367276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marine Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20464177.2024.2367276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Harnessing traditional controllers for fast-track training of deep reinforcement learning control strategies
In recent years, Autonomous Ships have become a focal point for research, specifically emphasizing improving ship autonomy. Machine Learning Controllers, especially those based on Reinforcement Lea...
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