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This field generates voluptuous data for tourists, expenditure, location, etc. analysis; the information increases over the years and the density of visiting tourists. Therefore, this article introduces an optimized reinforcement data analysis approach (ORDAA) for generating precise guidance information. This information is two-faced, namely, summarized data for tourist guidance and summarized data for the country\u2019s economic development. Data augmentation\u2019s steep rise and downfall are analyzed using reinforcement learning, wherein decision agents are precise for a relevant summary. The relevance is identified using associated development targets over varying years. Besides, the guidance information that identifies low tourist summary or nonachievable development targets is separately identified. The identified targets are analyzed using reinforcement agents for economic growth improvements compared to the previous tourist densities. This improves the focus on rural tourism sights and economic contributions to an optimal level.<\/jats:p>","DOI":"10.1155\/2023\/4991438","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T19:05:34Z","timestamp":1680203134000},"page":"1-16","source":"Crossref","is-referenced-by-count":1,"title":["Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2924-0203","authenticated-orcid":true,"given":"Guofang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Economics and Management, Jiaozuo University, Jiaozuo 454000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s00181-019-01668-7"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tmp.2022.100965"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.tourman.2020.104131"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s10258-020-00181-5"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-020-10179-3"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.accre.2021.03.009"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-022-00354-6"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.tourman.2021.104436"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e09617"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-022-21334-3"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s10258-021-00193-9"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s00181-019-01787-1"},{"key":"13","doi-asserted-by":"crossref","first-page":"2601","DOI":"10.1007\/s00500-022-07579-7","article-title":"Using machine learning algorithms for predicting real estate values in tourism centers","volume":"27","author":"T. 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