{"id":"https://openalex.org/W3015197516","doi":"https://doi.org/10.3233/ds-200028","title":"Reinforcement learning for personalization: A systematic literature review","display_name":"Reinforcement learning for personalization: A systematic literature review","publication_year":2020,"publication_date":"2020-04-10","ids":{"openalex":"https://openalex.org/W3015197516","doi":"https://doi.org/10.3233/ds-200028","mag":"3015197516"},"language":"en","primary_location":{"id":"doi:10.3233/ds-200028","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ds-200028","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.3233/ds-200028","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082645091","display_name":"Floris den Hengst","orcid":"https://orcid.org/0000-0002-2092-9904"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Floris den Hengst","raw_affiliation_strings":["Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0f.den.hengst@vu.nl"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0f.den.hengst@vu.nl","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001820816","display_name":"Eoin Martino Grua","orcid":"https://orcid.org/0000-0002-5471-4338"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Eoin Martino Grua","raw_affiliation_strings":["Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0e.m.grua@vu.nl"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0e.m.grua@vu.nl","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075900919","display_name":"Ali el Hassouni","orcid":"https://orcid.org/0000-0003-0919-8861"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ali el Hassouni","raw_affiliation_strings":["Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0a.el.hassouni@vu.nl"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0a.el.hassouni@vu.nl","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044217809","display_name":"Mark Hoogendoorn","orcid":"https://orcid.org/0000-0003-3356-3574"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mark Hoogendoorn","raw_affiliation_strings":["Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0m.hoogendoorn@vu.nl"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"Dept. of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1111, 1081 HV, Amsterdam, The\u00a0Netherlands. E-mail:\u00a0m.hoogendoorn@vu.nl","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001820816","https://openalex.org/A5044217809","https://openalex.org/A5075900919","https://openalex.org/A5082645091"],"corresponding_institution_ids":["https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":3.9777,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94678372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"3","issue":"2","first_page":"107","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.9170960187911987},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7513535618782043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7275903820991516},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5972259640693665},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41319477558135986},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37234941124916077},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3527899384498596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2857881784439087},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19422152638435364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08540552854537964}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.9170960187911987},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7513535618782043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275903820991516},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5972259640693665},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41319477558135986},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37234941124916077},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3527899384498596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2857881784439087},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19422152638435364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08540552854537964},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/ds-200028","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ds-200028","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},{"id":"pmh:oai:research.vu.nl:publications/55d879f7-f19c-4be6-8b16-603eb0789c95","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/55d879f7-f19c-4be6-8b16-603eb0789c95","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hengst, F D, Grua, E M, Hassouni, A E, Hoogendoorn, M & Moise, I (ed.) 2020, 'Reinforcement learning for personalization : A\u00a0systematic literature review', Data Science, vol. 3, no. 2, pp. 107-147. https://doi.org/10.3233/DS-200028","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research.vu.nl:openaire/55d879f7-f19c-4be6-8b16-603eb0789c95","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/55d879f7-f19c-4be6-8b16-603eb0789c95","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hengst, F D, Grua, E M, Hassouni, A E, Hoogendoorn, M & Moise, I (ed.) 2020, 'Reinforcement learning for personalization : A\u00a0systematic literature review', Data Science, vol. 3, no. 2, pp. 107-147. https://doi.org/10.3233/DS-200028","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.3233/ds-200028","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ds-200028","pdf_url":null,"source":{"id":"https://openalex.org/S4210178722","display_name":"Data Science","issn_l":"2451-8484","issn":["2451-8484","2451-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":228,"referenced_works":["https://openalex.org/W15411808","https://openalex.org/W32403112","https://openalex.org/W38756109","https://openalex.org/W53253853","https://openalex.org/W101646624","https://openalex.org/W145518541","https://openalex.org/W146834211","https://openalex.org/W157259654","https://openalex.org/W166862392","https://openalex.org/W172314701","https://openalex.org/W786087805","https://openalex.org/W821278683","https://openalex.org/W1095970959","https://openalex.org/W1487320471","https://openalex.org/W1491843047","https://openalex.org/W1496182970","https://openalex.org/W1513915304","https://openalex.org/W1524145815","https://openalex.org/W1537777936","https://openalex.org/W1552708085","https://openalex.org/W1557517019","https://openalex.org/W1564960024","https://openalex.org/W1583798005","https://openalex.org/W1617900753","https://openalex.org/W1618543586","https://openalex.org/W1652319903","https://openalex.org/W1690919088","https://openalex.org/W1752113488","https://openalex.org/W1845972764","https://openalex.org/W1893742867","https://openalex.org/W1968073106","https://openalex.org/W1968563228","https://openalex.org/W1968719169","https://openalex.org/W1971007088","https://openalex.org/W1973899130","https://openalex.org/W1975767384","https://openalex.org/W1979229249","https://openalex.org/W1979660020","https://openalex.org/W1982955044","https://openalex.org/W1984819428","https://openalex.org/W1985708210","https://openalex.org/W1989469424","https://openalex.org/W1998403501","https://openalex.org/W1998431331","https://openalex.org/W2000373737","https://openalex.org/W2002136387","https://openalex.org/W2005501262","https://openalex.org/W2006205070","https://openalex.org/W2006779136","https://openalex.org/W2009053608","https://openalex.org/W2009536294","https://openalex.org/W2009551863","https://openalex.org/W2011167607","https://openalex.org/W2017024297","https://openalex.org/W2017697483","https://openalex.org/W2017978012","https://openalex.org/W2020008338","https://openalex.org/W2024320089","https://openalex.org/W2024683163","https://openalex.org/W2025945038","https://openalex.org/W2029604041","https://openalex.org/W2030481925","https://openalex.org/W2032860265","https://openalex.org/W2033868663","https://openalex.org/W2035495343","https://openalex.org/W2042439732","https://openalex.org/W2044332520","https://openalex.org/W2049570325","https://openalex.org/W2049655669","https://openalex.org/W2051543123","https://openalex.org/W2056089161","https://openalex.org/W2058026013","https://openalex.org/W2062962709","https://openalex.org/W2067961213","https://openalex.org/W2068849277","https://openalex.org/W2070977981","https://openalex.org/W2072837080","https://openalex.org/W2083477681","https://openalex.org/W2084963271","https://openalex.org/W2085007331","https://openalex.org/W2085914392","https://openalex.org/W2086800074","https://openalex.org/W2092092836","https://openalex.org/W2093065590","https://openalex.org/W2094395815","https://openalex.org/W2094824485","https://openalex.org/W2096856929","https://openalex.org/W2100767128","https://openalex.org/W2100824238","https://openalex.org/W2101786389","https://openalex.org/W2106520282","https://openalex.org/W2112420033","https://openalex.org/W2117198064","https://openalex.org/W2118562508","https://openalex.org/W2121863487","https://openalex.org/W2122408248","https://openalex.org/W2123384967","https://openalex.org/W2124074612","https://openalex.org/W2124674171","https://openalex.org/W2125056021","https://openalex.org/W2131600418","https://openalex.org/W2134103864","https://openalex.org/W2134148577","https://openalex.org/W2135263912","https://openalex.org/W2137063737","https://openalex.org/W2140508053","https://openalex.org/W2141559645","https://openalex.org/W2142467785","https://openalex.org/W2144823724","https://openalex.org/W2144848160","https://openalex.org/W2144886418","https://openalex.org/W2145360759","https://openalex.org/W2148933229","https://openalex.org/W2149008295","https://openalex.org/W2150468603","https://openalex.org/W2151049666","https://openalex.org/W2151161180","https://openalex.org/W2153797338","https://openalex.org/W2156682402","https://openalex.org/W2160422981","https://openalex.org/W2160729286","https://openalex.org/W2161896971","https://openalex.org/W2164479831","https://openalex.org/W2165698076","https://openalex.org/W2166159790","https://openalex.org/W2168405694","https://openalex.org/W2171446571","https://openalex.org/W2197382943","https://openalex.org/W2212054606","https://openalex.org/W2222789563","https://openalex.org/W2246584792","https://openalex.org/W2249027538","https://openalex.org/W2250558341","https://openalex.org/W2265908272","https://openalex.org/W2280405352","https://openalex.org/W2288565641","https://openalex.org/W2297111485","https://openalex.org/W2336151140","https://openalex.org/W2338780392","https://openalex.org/W2340679559","https://openalex.org/W2341865734","https://openalex.org/W2342662072","https://openalex.org/W2358698356","https://openalex.org/W2399552843","https://openalex.org/W2400109896","https://openalex.org/W2402468828","https://openalex.org/W2403708444","https://openalex.org/W2468659245","https://openalex.org/W2469544569","https://openalex.org/W2476025067","https://openalex.org/W2502363082","https://openalex.org/W2503706510","https://openalex.org/W2507789193","https://openalex.org/W2515959714","https://openalex.org/W2519892770","https://openalex.org/W2526722798","https://openalex.org/W2527945426","https://openalex.org/W2535327675","https://openalex.org/W2536578681","https://openalex.org/W2538903535","https://openalex.org/W2544422362","https://openalex.org/W2546352153","https://openalex.org/W2551428019","https://openalex.org/W2552021908","https://openalex.org/W2555307853","https://openalex.org/W2562471871","https://openalex.org/W2577350134","https://openalex.org/W2594823817","https://openalex.org/W2611759197","https://openalex.org/W2618867214","https://openalex.org/W2622684336","https://openalex.org/W2623726563","https://openalex.org/W2649896831","https://openalex.org/W2715423655","https://openalex.org/W2734755609","https://openalex.org/W2735631624","https://openalex.org/W2736157076","https://openalex.org/W2740309605","https://openalex.org/W2741296383","https://openalex.org/W2742838019","https://openalex.org/W2743027853","https://openalex.org/W2743759810","https://openalex.org/W2744140371","https://openalex.org/W2745812175","https://openalex.org/W2751115323","https://openalex.org/W2755321362","https://openalex.org/W2756175170","https://openalex.org/W2766329790","https://openalex.org/W2767008810","https://openalex.org/W2768775148","https://openalex.org/W2779434303","https://openalex.org/W2782637183","https://openalex.org/W2783597546","https://openalex.org/W2786135718","https://openalex.org/W2786412260","https://openalex.org/W2786937700","https://openalex.org/W2787259794","https://openalex.org/W2787933113","https://openalex.org/W2794582352","https://openalex.org/W2796433937","https://openalex.org/W2796868086","https://openalex.org/W2800173142","https://openalex.org/W2802595847","https://openalex.org/W2803289251","https://openalex.org/W2803869190","https://openalex.org/W2804103029","https://openalex.org/W2897737265","https://openalex.org/W2902062187","https://openalex.org/W2913695048","https://openalex.org/W2951573205","https://openalex.org/W2962802563","https://openalex.org/W2963401755","https://openalex.org/W2963560082","https://openalex.org/W2965176873","https://openalex.org/W2980520305","https://openalex.org/W2983670306","https://openalex.org/W3103780890","https://openalex.org/W3104136174","https://openalex.org/W3104999911","https://openalex.org/W4211089519","https://openalex.org/W4211221179","https://openalex.org/W4233882810","https://openalex.org/W4234816175","https://openalex.org/W4236664291","https://openalex.org/W4244424144","https://openalex.org/W4297081765","https://openalex.org/W4298482068","https://openalex.org/W4393507088"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W4306904969","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266"],"abstract_inverted_index":{"The":[0],"major":[1],"application":[2,56],"areas":[3,57],"of":[4,58,62,79,145,164,186],"reinforcement":[5],"learning":[6],"(RL)":[7],"have":[8,112],"traditionally":[9],"been":[10,22,103],"game":[11],"playing":[12],"and":[13,82,95,109,128,160,189],"continuous":[14],"control.":[15],"In":[16,72],"recent":[17],"years,":[18],"however,":[19,69],"RL":[20,31,66,101,116],"has":[21,102,117],"increasingly":[23,104],"applied":[24,105],"in":[25,45,54,85,123],"systems":[26,35],"that":[27,64,100,125,147],"interact":[28],"with":[29],"humans.":[30],"can":[32,172],"personalize":[33],"digital":[34],"to":[36,41,106,121,140,175],"make":[37],"them":[38],"more":[39,114],"relevant":[40],"individual":[42],"users.":[43],"Challenges":[44],"personalization":[46,80,107],"settings":[47,81],"may":[48],"be":[49,141,173],"different":[50],"from":[51],"challenges":[52],"found":[53],"traditional":[55],"RL.":[59],"An":[60],"overview":[61],"work":[63,178],"uses":[65],"for":[67,192],"personalization,":[68],"is":[70,134],"lacking.":[71],"this":[73],"work,":[74],"we":[75,92],"introduce":[76],"a":[77,86,132,149,152],"framework":[78],"use":[83],"it":[84,137],"systematic":[87],"literature":[88],"review.":[89],"Besides":[90],"setting,":[91],"review":[93,171],"solutions":[94],"evaluation":[96,154],"strategies.":[97],"Results":[98],"show":[99],"problems":[108],"realistic":[110,153],"evaluations":[111],"become":[113,118],"prevalent.":[115],"sufficiently":[119],"robust":[120],"apply":[122],"contexts":[124],"involve":[126],"humans":[127],"the":[129,143,161,184,187],"field":[130,188],"as":[131],"whole":[133],"growing.":[135],"However,":[136],"seems":[138],"not":[139,156],"maturing:":[142],"ratios":[144],"studies":[146],"include":[148],"comparison":[150],"or":[151],"are":[155,166],"showing":[157],"upward":[158],"trends":[159],"vast":[162],"majority":[163],"algorithms":[165],"used":[167,174],"only":[168],"once.":[169],"This":[170],"find":[176],"related":[177],"across":[179],"domains,":[180],"provides":[181],"insights":[182],"into":[183],"state":[185],"identifies":[190],"opportunities":[191],"future":[193],"work.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
