Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, P. Papapetrou
{"title":"Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies","authors":"Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, P. Papapetrou","doi":"10.1007/978-3-031-30047-9_25","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":91439,"journal":{"name":"Advances in intelligent data analysis. International Symposium on Intelligent Data Analysis","volume":"36 1","pages":"314-326"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in intelligent data analysis. International Symposium on Intelligent Data Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-30047-9_25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}