{"id":"https://openalex.org/W4394891017","doi":"https://doi.org/10.1145/3625468.3652183","title":"Accurate Bandwidth Prediction for Real-Time Media Streaming with Offline Reinforcement Learning","display_name":"Accurate Bandwidth Prediction for Real-Time Media Streaming with Offline Reinforcement Learning","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394891017","doi":"https://doi.org/10.1145/3625468.3652183"},"language":"en","primary_location":{"id":"doi:10.1145/3625468.3652183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625468.3652183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625468.3652183","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625468.3652183","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028107220","display_name":"Q. Tan","orcid":"https://orcid.org/0009-0002-9609-033X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyue Tan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034126518","display_name":"Gerui Lv","orcid":"https://orcid.org/0000-0001-6158-1345"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gerui Lv","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087192710","display_name":"Xing Fang","orcid":"https://orcid.org/0009-0003-5976-2085"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Fang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040411300","display_name":"Jiaxing Zhang","orcid":"https://orcid.org/0009-0005-3637-2273"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113129628","display_name":"Zejun Yang","orcid":"https://orcid.org/0009-0001-7410-9514"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejun Yang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Jiang","orcid":"https://orcid.org/0009-0003-1346-3581"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029182306","display_name":"Qinghua Wu","orcid":"https://orcid.org/0000-0001-5526-4984"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Wu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028107220"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.2231,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7925217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8666677474975586},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8499891757965088},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5688904523849487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.546997606754303},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5424150228500366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.496223509311676},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4585217833518982},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42254209518432617},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.4173447787761688},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.2127324938774109},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1611819565296173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8666677474975586},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8499891757965088},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5688904523849487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546997606754303},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5424150228500366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.496223509311676},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4585217833518982},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42254209518432617},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.4173447787761688},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.2127324938774109},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1611819565296173}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625468.3652183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625468.3652183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625468.3652183","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625468.3652183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625468.3652183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625468.3652183","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1457184248","display_name":null,"funder_award_id":"U20A2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5715666106","display_name":null,"funder_award_id":"U20A20180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6958661067","display_name":null,"funder_award_id":"62072437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8400801390","display_name":null,"funder_award_id":"U20A201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394891017.pdf","grobid_xml":"https://content.openalex.org/works/W4394891017.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1530404542","https://openalex.org/W1976944900","https://openalex.org/W2150453038","https://openalex.org/W2482797934","https://openalex.org/W2624438931","https://openalex.org/W2744628735","https://openalex.org/W2979599265","https://openalex.org/W3087963932","https://openalex.org/W3139377883","https://openalex.org/W3210224682","https://openalex.org/W4283206846","https://openalex.org/W4386365365","https://openalex.org/W4386385443","https://openalex.org/W4386396640","https://openalex.org/W4394881923","https://openalex.org/W4401176422"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W4391331176"],"abstract_inverted_index":{"In":[0,26],"real-time":[1],"communication":[2],"(RTC)":[3],"systems,":[4],"accurate":[5],"bandwidth":[6,39],"prediction":[7,108],"is":[8,137],"crucial":[9],"for":[10,40,127],"encoding":[11],"and":[12,67,73,92],"transmission":[13],"strategies":[14],"to":[15,37,53,81,88],"optimize":[16],"users'":[17],"quality":[18],"of":[19],"experience":[20],"(QoE)":[21],"in":[22,117,130],"various":[23],"network":[24,71],"environments.":[25],"this":[27],"paper,":[28],"we":[29,61],"propose":[30],"an":[31],"offline":[32],"reinforcement":[33],"learning":[34],"(RL)":[35],"method":[36,91,97,112],"predict":[38],"RTC":[41],"video":[42],"streaming.":[43],"We":[44],"use":[45],"a":[46,89],"representative":[47],"algorithm,":[48],"named":[49],"Implicit":[50],"Q-Learning":[51],"(IQL),":[52],"train":[54],"the":[55,59,64,69,74,99,114],"model.":[56],"To":[57],"improve":[58],"performance,":[60],"carefully":[62],"preprocess":[63],"given":[65],"dataset":[66],"redesign":[68],"neural":[70],"structure":[72],"reward":[75],"function.":[76],"Ablation":[77],"studies":[78],"are":[79],"performed":[80],"verify":[82],"our":[83,96],"design":[84],"choices.":[85],"Furthermore,":[86],"compared":[87],"baseline":[90],"six":[93],"behavior":[94],"policies,":[95],"reduces":[98],"mean":[100],"squared":[101],"error":[102],"(MSE)":[103],"by":[104],"18%-22%,":[105],"demonstrating":[106],"high":[107],"accuracy.":[109],"Our":[110],"proposed":[111],"won":[113],"first":[115],"prize":[116],"ACM":[118],"MMSys":[119],"2024":[120],"Grand":[121],"Challenge":[122],"on":[123],"Offline":[124],"Reinforcement":[125],"Learning":[126],"Bandwidth":[128],"Estimation":[129],"Real":[131],"Time":[132],"Communications.":[133],"The":[134],"source":[135],"code":[136],"available":[138],"at":[139],"https://github.com/n13eho/Schaferct.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
