{"id":"https://openalex.org/W4415004254","doi":"https://doi.org/10.1109/acit65614.2025.11185740","title":"Modeling Epidemiological Processes Using Reinforcement Learning Methods","display_name":"Modeling Epidemiological Processes Using Reinforcement Learning Methods","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4415004254","doi":"https://doi.org/10.1109/acit65614.2025.11185740"},"language":"en","primary_location":{"id":"doi:10.1109/acit65614.2025.11185740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069489527","display_name":"Ihor Kosovych","orcid":"https://orcid.org/0000-0003-1081-1790"},"institutions":[{"id":"https://openalex.org/I130701412","display_name":"Chernivtsi National University","ror":"https://ror.org/044n25186","country_code":"UA","type":"education","lineage":["https://openalex.org/I130701412"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Ihor Kosovych","raw_affiliation_strings":["Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine"],"affiliations":[{"raw_affiliation_string":"Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine","institution_ids":["https://openalex.org/I130701412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053877708","display_name":"\u0406\u0433\u043e\u0440 \u0427\u0435\u0440\u0435\u0432\u043a\u043e","orcid":"https://orcid.org/0000-0002-2690-2091"},"institutions":[{"id":"https://openalex.org/I130701412","display_name":"Chernivtsi National University","ror":"https://ror.org/044n25186","country_code":"UA","type":"education","lineage":["https://openalex.org/I130701412"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Igor Cherevko","raw_affiliation_strings":["Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine"],"affiliations":[{"raw_affiliation_string":"Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine","institution_ids":["https://openalex.org/I130701412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114286113","display_name":"Dmytro Shkilniuk","orcid":null},"institutions":[{"id":"https://openalex.org/I130701412","display_name":"Chernivtsi National University","ror":"https://ror.org/044n25186","country_code":"UA","type":"education","lineage":["https://openalex.org/I130701412"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Dmytro Shkilniuk","raw_affiliation_strings":["Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine"],"affiliations":[{"raw_affiliation_string":"Yuriy Fedkovych Chernivtsi National University,Department of Mathematical Modeling,Chernivtsi,Ukraine","institution_ids":["https://openalex.org/I130701412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069489527"],"corresponding_institution_ids":["https://openalex.org/I130701412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33576165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.4453999996185303,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.4453999996185303,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7627000212669373},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45339998602867126},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.38339999318122864},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.35580000281333923},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3149000108242035}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7627000212669373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894000172615051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163000226020813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5004000067710876},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45339998602867126},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3840000033378601},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.34040001034736633},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C3017689999","wikidata":"https://www.wikidata.org/wiki/Q106040803","display_name":"Epidemic control","level":5,"score":0.2946999967098236},{"id":"https://openalex.org/C1391233","wikidata":"https://www.wikidata.org/wiki/Q5382703","display_name":"Epidemiological method","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit65614.2025.11185740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1986134081","https://openalex.org/W2921964148","https://openalex.org/W3015759376","https://openalex.org/W3121909116","https://openalex.org/W3146896173","https://openalex.org/W3180713248","https://openalex.org/W3198196937","https://openalex.org/W4210886675","https://openalex.org/W4239975174","https://openalex.org/W4283527138","https://openalex.org/W4304815513","https://openalex.org/W4311219348","https://openalex.org/W4403447017"],"related_works":[],"abstract_inverted_index":{"This":[0,48,117],"paper":[1],"investigates":[2],"the":[3,32,81,113,120],"use":[4],"of":[5,83,122],"Deep":[6],"Q-Learning":[7],"(DQN),":[8],"a":[9,26,51,63,70,84,93,128],"reinforcement":[10],"learning":[11,40],"algorithm,":[12],"to":[13,34,68,104],"optimize":[14],"strategies":[15],"for":[16,44,127],"controlling":[17],"epidemic":[18,65,107,124],"spread.":[19],"While":[20],"traditional":[21],"models":[22],"like":[23],"SIR":[24],"offer":[25],"basic":[27],"understanding,":[28],"they":[29],"often":[30],"lack":[31],"complexity":[33],"accurately":[35],"represent":[36],"real-world":[37],"scenarios.":[38],"Machine":[39],"provides":[41],"advanced":[42],"tools":[43],"analyzing":[45],"epidemiological":[46],"data.":[47],"research":[49],"develops":[50],"DQN":[52],"agent":[53],"that":[54,72],"learns":[55],"effective":[56],"intervention":[57],"policies":[58],"(e.g.,":[59],"lockdown,":[60],"treatment)":[61],"within":[62],"simulated":[64],"environment,":[66],"aiming":[67],"maximize":[69],"reward":[71],"balances":[73],"health":[74],"and":[75,100],"economic":[76],"outcomes.":[77],"Simulation":[78],"results":[79],"highlight":[80],"effectiveness":[82],"combined":[85],"\"Lockdown":[86],"+":[87],"Cure\"":[88],"approach.":[89],"To":[90],"enhance":[91],"accessibility,":[92],"user-friendly":[94],"web":[95],"application,":[96],"built":[97],"with":[98],"FastAPI":[99],"React,":[101],"allows":[102],"users":[103],"interactively":[105],"simulate":[106],"processes":[108],"using":[109],"various":[110],"models,":[111],"including":[112],"developed":[114],"RL":[115],"model.":[116],"tool":[118],"facilitates":[119],"analysis":[121],"different":[123],"control":[125],"measures":[126],"broader":[129],"audience.":[130]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
