{"title":"具有无约束奖励函数和 Borel 空间的风险敏感贴现马尔可夫决策过程","authors":"Xin Guo","doi":"10.1080/17442508.2024.2314462","DOIUrl":null,"url":null,"abstract":"This paper attempts to study the risk-sensitive discounted discrete-time Markov decision processes in Borel spaces, in which the reward functions are allowed to be unbounded from above and from bel...","PeriodicalId":501524,"journal":{"name":"Stochastics","volume":"287 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk-sensitive discounted Markov decision processes with unbounded reward functions and Borel spaces\",\"authors\":\"Xin Guo\",\"doi\":\"10.1080/17442508.2024.2314462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper attempts to study the risk-sensitive discounted discrete-time Markov decision processes in Borel spaces, in which the reward functions are allowed to be unbounded from above and from bel...\",\"PeriodicalId\":501524,\"journal\":{\"name\":\"Stochastics\",\"volume\":\"287 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17442508.2024.2314462\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17442508.2024.2314462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Risk-sensitive discounted Markov decision processes with unbounded reward functions and Borel spaces
This paper attempts to study the risk-sensitive discounted discrete-time Markov decision processes in Borel spaces, in which the reward functions are allowed to be unbounded from above and from bel...
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