{"id":"https://openalex.org/W4387185525","doi":"https://doi.org/10.3233/faia230465","title":"Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards","display_name":"Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387185525","doi":"https://doi.org/10.3233/faia230465"},"language":"en","primary_location":{"id":"doi:10.3233/faia230465","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230465","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004737458","display_name":"Behzad Nourani-Koliji","orcid":"https://orcid.org/0009-0001-2854-1955"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Behzad Nourani-Koliji","raw_affiliation_strings":["University of T\u00fcbingen"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071183736","display_name":"Steven Bilaj","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven Bilaj","raw_affiliation_strings":["University of T\u00fcbingen"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050397070","display_name":"Amir Rezaei Balef","orcid":"https://orcid.org/0000-0002-6882-0051"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Amir Rezaei Balef","raw_affiliation_strings":["University of T\u00fcbingen"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035655974","display_name":"Setareh Maghsudi","orcid":"https://orcid.org/0000-0002-0647-611X"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Setareh Maghsudi","raw_affiliation_strings":["University of T\u00fcbingen"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004737458"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":1.0983,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82348145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7166088223457336},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5793657898902893},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.49983692169189453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48295682668685913},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4707772433757782},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4411115050315857},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4165630042552948},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4100757837295532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3732302188873291},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.33371293544769287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23069104552268982},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.17529091238975525},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09307336807250977}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7166088223457336},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5793657898902893},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.49983692169189453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48295682668685913},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4707772433757782},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4411115050315857},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4165630042552948},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4100757837295532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3732302188873291},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.33371293544769287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23069104552268982},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.17529091238975525},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09307336807250977},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230465","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230465","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230465","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230465","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G515178066","display_name":null,"funder_award_id":"16KISK035","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5168466499","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G6743243744","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6955755495","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G762232396","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7907426250","display_name":null,"funder_award_id":"390727645","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8413167928","display_name":null,"funder_award_id":"Excellence Strategy","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G8915364236","display_name":null,"funder_award_id":"2064/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387185525.pdf","grobid_xml":"https://content.openalex.org/works/W4387185525.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W157259654","https://openalex.org/W1508957461","https://openalex.org/W1839697241","https://openalex.org/W1900560890","https://openalex.org/W1998498767","https://openalex.org/W2035813484","https://openalex.org/W2077902449","https://openalex.org/W2112420033","https://openalex.org/W2149660380","https://openalex.org/W2151936673","https://openalex.org/W2165856466","https://openalex.org/W2193897973","https://openalex.org/W2237158255","https://openalex.org/W2259160646","https://openalex.org/W2416991384","https://openalex.org/W2541678912","https://openalex.org/W2545344914","https://openalex.org/W2750919793","https://openalex.org/W2767307766","https://openalex.org/W2782758556","https://openalex.org/W2798585159","https://openalex.org/W2911079225","https://openalex.org/W2922271071","https://openalex.org/W2949231465","https://openalex.org/W2952832562","https://openalex.org/W2958253904","https://openalex.org/W2962818688","https://openalex.org/W2962886701","https://openalex.org/W2964132277","https://openalex.org/W2964311196","https://openalex.org/W2970331164","https://openalex.org/W2997389318","https://openalex.org/W3005171350","https://openalex.org/W3011969122","https://openalex.org/W3015348536","https://openalex.org/W3030314836","https://openalex.org/W3134247470","https://openalex.org/W4214712968","https://openalex.org/W4237910115","https://openalex.org/W4285605353","https://openalex.org/W4289549269","https://openalex.org/W4299548526","https://openalex.org/W4380366597","https://openalex.org/W4387649052"],"related_works":["https://openalex.org/W3111617249","https://openalex.org/W4287555357","https://openalex.org/W3176362036","https://openalex.org/W2122187689","https://openalex.org/W2157016390","https://openalex.org/W4315575041","https://openalex.org/W2161367706","https://openalex.org/W2016425266","https://openalex.org/W1486879240","https://openalex.org/W3013781205"],"abstract_inverted_index":{"We":[0,84],"study":[1],"the":[2,18,29,54,59,63,66,78,86,95,106,114,126,141,144,150,154,157,169,172,180,201],"piecewise":[3],"stationary":[4],"combinatorial":[5,55],"semi-bandit":[6,56],"problem":[7,50],"with":[8],"causally":[9],"related":[10],"rewards.":[11],"In":[12,33],"our":[13,74,134,185,197],"nonstationary":[14],"environment,":[15,36],"variations":[16,142],"in":[17,53,125,130,156,188],"base":[19],"arms\u2019":[20],"distributions,":[21],"causal":[22,151],"relationships":[23,152],"between":[24,153],"rewards,":[25],"or":[26],"both,":[27],"change":[28,45],"reward":[30],"generation":[31],"process.":[32],"such":[34],"an":[35,37,90],"optimal":[38],"decision-maker":[39,60],"must":[40],"follow":[41],"both":[42],"sources":[43],"of":[44,65,69,73,116,143,171,174,184,196],"and":[46,176,193],"adapt":[47],"accordingly.":[48],"The":[49,71,182],"becomes":[51],"aggravated":[52],"setting,":[57],"where":[58],"only":[61],"observes":[62],"outcome":[64,183],"selected":[67],"bundle":[68],"arms.":[70],"core":[72],"proposed":[75],"policy":[76],"is":[77],"Upper":[79],"Confidence":[80],"Bound":[81],"(UCB)":[82],"algorithm.":[83],"assume":[85],"agent":[87],"relies":[88],"on":[89,105,179],"adaptive":[91],"approach":[92],"to":[93,139,200],"overcome":[94],"challenge.":[96],"More":[97],"specifically,":[98],"it":[99],"employs":[100],"a":[101,120,137,163],"change-point":[102],"detector":[103],"based":[104],"Generalized":[107],"Likelihood":[108],"Ratio":[109],"test.":[110],"Besides,":[111],"we":[112,161],"introduce":[113],"notion":[115],"group":[117],"restart":[118],"as":[119],"new":[121],"alternative":[122],"restarting":[123],"strategy":[124],"decision":[127],"making":[128],"process":[129],"structured":[131],"environments.":[132],"Finally,":[133],"algorithm":[135],"integrates":[136],"mechanism":[138],"trace":[140],"underlying":[145],"graph":[146],"structure,":[147],"which":[148],"captures":[149],"rewards":[155],"bandit":[158],"setting.":[159],"Theoretically,":[160],"establish":[162],"regret":[164],"upper":[165],"bound":[166],"that":[167],"reflects":[168],"effects":[170],"number":[173],"structural-":[175],"distribution":[177],"changes":[178],"performance.":[181],"numerical":[186],"experiments":[187],"real-world":[189],"scenarios":[190],"exhibits":[191],"applicability":[192],"superior":[194],"performance":[195],"proposal":[198],"compared":[199],"state-of-the-art":[202],"benchmarks.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
