{"title":"Multi-target Search Using Teams of Robots Based on Thompson Sampling","authors":"Yidan Chen, Melvin Ticiano Gao","doi":"10.1109/ICDSCA56264.2022.9988679","DOIUrl":null,"url":null,"abstract":"Different Solutions and algorithm to the Multi-Armed Bandit (MAB) problem using method of exploration and exploitation trade-off, including Thompson Sampling. Which proved to have competitive results compared to popular methods of solution. Formulated MAB problem into Multi-robot Search problem. Showed data solving multi-robot search problem with Dynamic Thompson sampling.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSCA56264.2022.9988679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Different Solutions and algorithm to the Multi-Armed Bandit (MAB) problem using method of exploration and exploitation trade-off, including Thompson Sampling. Which proved to have competitive results compared to popular methods of solution. Formulated MAB problem into Multi-robot Search problem. Showed data solving multi-robot search problem with Dynamic Thompson sampling.
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