{"title":"Multi-Agent Deep Reinforcement Learning (MADRL) for Solving Real-Time Railway Rescheduling Problem","authors":"B. Kővári, I.F. Lovetei, S. Aradi, Tamás Bécsi","doi":"10.4203/ccc.1.23.5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":243762,"journal":{"name":"Civil-Comp Conferences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Civil-Comp Conferences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4203/ccc.1.23.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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