{"id":"https://openalex.org/W3213265416","doi":"https://doi.org/10.1145/3487351.3490973","title":"Meta-reinforcement learning via buffering graph signatures for live video streaming events","display_name":"Meta-reinforcement learning via buffering graph signatures for live video streaming events","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3213265416","doi":"https://doi.org/10.1145/3487351.3490973","mag":"3213265416"},"language":"en","primary_location":{"id":"doi:10.1145/3487351.3490973","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487351.3490973","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487351.3490973","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 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3487351.3490973","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059198427","display_name":"Stefanos Antaris","orcid":"https://orcid.org/0000-0002-1135-8863"},"institutions":[{"id":"https://openalex.org/I4210091086","display_name":"Hive Streaming (Sweden)","ror":"https://ror.org/00c9zyz36","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210091086"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Stefanos Antaris","raw_affiliation_strings":["Hive Streaming AB, Sweden"],"affiliations":[{"raw_affiliation_string":"Hive Streaming AB, Sweden","institution_ids":["https://openalex.org/I4210091086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034151597","display_name":"Dimitrios Rafailidis","orcid":"https://orcid.org/0000-0002-7366-3716"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Rafailidis","raw_affiliation_strings":["University of Thessaly, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041411651","display_name":"\u0160ar\u016bnas Girdzijauskas","orcid":"https://orcid.org/0000-0003-4516-7317"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sarunas Girdzijauskas","raw_affiliation_strings":["KTH Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059198427"],"corresponding_institution_ids":["https://openalex.org/I4210091086"],"apc_list":null,"apc_paid":null,"fwci":0.0969,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41838753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9961000084877014,"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":0.9961000084877014,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9785000085830688,"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/T11478","display_name":"Caching and Content Delivery","score":0.9782000184059143,"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":0.8747483491897583},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7750691175460815},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4960390031337738},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4791683256626129},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42632487416267395},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4210923910140991},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41615697741508484},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41200077533721924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3753412663936615},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3616388440132141},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3383093476295471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8747483491897583},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7750691175460815},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4960390031337738},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4791683256626129},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42632487416267395},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4210923910140991},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41615697741508484},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41200077533721924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3753412663936615},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3616388440132141},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3383093476295471},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3487351.3490973","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487351.3490973","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487351.3490973","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 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/70643","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/70643","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021","raw_type":"conferenceItem"}],"best_oa_location":{"id":"doi:10.1145/3487351.3490973","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487351.3490973","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487351.3490973","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 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3213265416.pdf","grobid_xml":"https://content.openalex.org/works/W3213265416.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W1971649808","https://openalex.org/W2013628864","https://openalex.org/W2121863487","https://openalex.org/W2137825550","https://openalex.org/W2165150801","https://openalex.org/W2604763608","https://openalex.org/W2753433947","https://openalex.org/W2798918712","https://openalex.org/W2954380329","https://openalex.org/W2955624969","https://openalex.org/W2957105406","https://openalex.org/W2963477884","https://openalex.org/W2963858333","https://openalex.org/W2964983698","https://openalex.org/W2965170902","https://openalex.org/W2970144620","https://openalex.org/W2994972767","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W3034452783","https://openalex.org/W3034971196","https://openalex.org/W3034978645","https://openalex.org/W3043239945","https://openalex.org/W3045255111","https://openalex.org/W3080510905","https://openalex.org/W3100357905","https://openalex.org/W3101588560","https://openalex.org/W3102645306","https://openalex.org/W3106312640","https://openalex.org/W3137569190","https://openalex.org/W3143870231","https://openalex.org/W3163885138","https://openalex.org/W3184216268","https://openalex.org/W4226226450","https://openalex.org/W4287991470","https://openalex.org/W4289241454","https://openalex.org/W4302570325","https://openalex.org/W6680455300","https://openalex.org/W6684205842","https://openalex.org/W6687681856","https://openalex.org/W6780404908"],"related_works":["https://openalex.org/W4400868993","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894"],"abstract_inverted_index":{"In":[0],"this":[1,144],"study,":[2],"we":[3,55,86,106,146],"present":[4],"a":[5,21,37,49,53,88,108,114,148],"meta-learning":[6,42,110],"model":[7,116,168,174],"to":[8,61,76,112,132,152],"adapt":[9],"the":[10,13,28,63,68,95,99,102,127,135,154,163,166,172,176,193],"predictions":[11],"of":[12,98,101,139,157,165,185,195,204],"network's":[14],"capacity":[15],"between":[16],"viewers":[17,82,121],"who":[18],"participate":[19,123],"in":[20,124],"live":[22,186],"video":[23,187],"streaming":[24,159,188],"event.":[25],"We":[26,170],"propose":[27],"MELANIE":[29],"model,":[30,198],"where":[31],"an":[32,57,84,200],"event":[33,51],"is":[34],"formulated":[35],"as":[36,52],"Markov":[38],"Decision":[39],"Process,":[40],"performing":[41],"on":[43,66,94,130,175,181],"reinforcement":[44],"learning":[45,59],"tasks.":[46],"By":[47],"considering":[48],"new":[50,77],"task,":[54],"design":[56,147],"actor-critic":[58],"scheme":[60],"compute":[62],"optimal":[64],"policy":[65],"estimating":[67],"viewers'":[69,103],"high-bandwidth":[70],"connections.":[71,104],"To":[72,142],"ensure":[73],"fast":[74],"adaptation":[75],"connections":[78],"or":[79],"changes":[80],"among":[81],"during":[83],"event,":[85],"implement":[87],"prioritized":[89],"replay":[90],"memory":[91],"buffer":[92,151],"based":[93],"Kullback-Leibler":[96],"divergence":[97],"reward/throughput":[100],"Moreover,":[105],"adopt":[107],"model-agnostic":[109],"framework":[111],"generate":[113],"global":[115,167],"from":[117],"past":[118],"events.":[119,141,189],"As":[120],"scarcely":[122],"several":[125,158],"events,":[126],"challenge":[128],"resides":[129],"how":[131],"account":[133],"for":[134],"low":[136],"structural":[137,155],"similarity":[138],"different":[140],"combat":[143],"issue,":[145],"graph":[149],"signature":[150],"calculate":[153],"similarities":[156],"events":[160],"and":[161,215],"adjust":[162],"training":[164],"accordingly.":[169],"evaluate":[171],"proposed":[173,197],"link":[177],"weight":[178],"prediction":[179],"task":[180],"three":[182],"real-world":[183],"datasets":[184,214],"Our":[190],"experiments":[191],"demonstrate":[192],"effectiveness":[194],"our":[196,212],"with":[199],"average":[201],"relative":[202],"gain":[203],"25%":[205],"against":[206],"state-of-the-art":[207],"strategies.":[208],"For":[209],"reproduction":[210],"purposes,":[211],"evaluation":[213],"implementation":[216],"are":[217],"publicly":[218],"available":[219],"at":[220],"https://github.com/stefanosantaris/melanie":[221]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-11-22T00:00:00"}