{"title":"Optimality equations in undiscounted Markov decision processes","authors":"M. Puterman","doi":"10.1109/CDC.1999.832928","DOIUrl":null,"url":null,"abstract":"We explore properties of the average and bias optimality equations in unichain Markov decision processes. We show that in unichain models, these equations have the same form, so that theory for gain optimality carries over to bias optimality.","PeriodicalId":137513,"journal":{"name":"Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1999.832928","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
We explore properties of the average and bias optimality equations in unichain Markov decision processes. We show that in unichain models, these equations have the same form, so that theory for gain optimality carries over to bias optimality.
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