{"id":"https://openalex.org/W4392158164","doi":"https://doi.org/10.1109/globecom54140.2023.10437278","title":"MERGE: Meta Reinforcement Learning for Tunable RL Agents at the Edge","display_name":"MERGE: Meta Reinforcement Learning for Tunable RL Agents at the Edge","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392158164","doi":"https://doi.org/10.1109/globecom54140.2023.10437278"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437278","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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/A5014904454","display_name":"Sharda Tripathi","orcid":"https://orcid.org/0000-0002-8473-4380"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sharda Tripathi","raw_affiliation_strings":["Birla Institute of Technology and Science,Pilani,India","Birla Institute of Technology and Science, Pilani, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science,Pilani,India","institution_ids":["https://openalex.org/I74796645"]},{"raw_affiliation_string":"Birla Institute of Technology and Science, Pilani, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Fabiana Chiasserini","raw_affiliation_strings":["Politecnico di Torino,Italy","Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014904454"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.133,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45229594,"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":"3506","last_page":"3511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9941999912261963,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8865146636962891},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.8153952360153198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664210200309753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.485563725233078},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46027064323425293},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1004272997379303}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8865146636962891},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.8153952360153198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664210200309753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.485563725233078},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46027064323425293},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1004272997379303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437278","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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":16,"referenced_works":["https://openalex.org/W2977090839","https://openalex.org/W3201454015","https://openalex.org/W3203918025","https://openalex.org/W3212845011","https://openalex.org/W4210482483","https://openalex.org/W4225571404","https://openalex.org/W4238126865","https://openalex.org/W4313071569","https://openalex.org/W4321483947","https://openalex.org/W4323891819","https://openalex.org/W4360897876","https://openalex.org/W4367360721","https://openalex.org/W4375929158","https://openalex.org/W4386260506","https://openalex.org/W4386260614","https://openalex.org/W6783533280"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2390279801","https://openalex.org/W2382112581","https://openalex.org/W4306904969","https://openalex.org/W3124036233","https://openalex.org/W4229787472"],"abstract_inverted_index":{"The":[0],"efficient":[1],"allocation":[2,55],"of":[3,10,25,61,87,101,140,152,165],"radio":[4,12,53,89,106,138,168],"resources":[5],"is":[6],"an":[7,34],"essential":[8],"trait":[9],"5G/6G":[11],"access":[13],"networks":[14],"(RANs),":[15],"as":[16],"they":[17],"are":[18],"called":[19],"to":[20,126,135,147],"meet":[21,41],"diverse":[22],"QoS":[23],"requirements":[24],"highly":[26],"demanding":[27],"applications.":[28],"To":[29],"equip":[30],"RANs":[31],"with":[32,172,189],"such":[33,117],"ability":[35],"and,":[36,123,177],"at":[37],"the":[38,58,62,77,85,88,98,109,114,141,149,153,163,166],"same":[39],"time,":[40],"their":[42,74],"function":[43],"split":[44],"constraints,":[45],"we":[46],"envision":[47],"a":[48,102,120,127,179,185,190],"distributed":[49],"learning":[50,105],"approach":[51],"for":[52,178],"resource":[54],"that":[56,92,159],"makes":[57],"most":[59],"out":[60],"Central":[63],"Unit":[64,68],"(CU)":[65],"and":[66,132],"Distributed":[67],"(DU)":[69],"components":[70],"by":[71],"effectively":[72],"exploiting":[73],"synergy.":[75],"On":[76,108],"one":[78],"hand,":[79,111],"our":[80],"solution,":[81],"named":[82],"MERGE,":[83],"leverages":[84],"knowledge":[86],"connectivity":[90],"dynamics":[91],"each":[93],"DU":[94],"can":[95,161],"acquire":[96],"through":[97],"local":[99],"use":[100],"deep":[103],"reinforcement":[104],"agent.":[107],"other":[110],"it":[112,183],"lets":[113],"CU":[115],"collect":[116],"agents":[118,139],"in":[119,170,193],"crowdsourcing":[121],"fashion,":[122],"then,":[124],"thanks":[125],"meta-learning":[128],"policy,":[129],"properly":[130],"select":[131],"aggregate":[133],"them":[134],"create":[136],"up-to-date":[137],"right":[142],"size":[143],"(hence,":[144],"complexity":[145],"level)":[146],"fit":[148],"computing":[150],"constraints":[151],"individual":[154],"DUs.":[155],"Our":[156],"results":[157],"show":[158],"MERGE":[160],"match":[162],"performance":[164],"highest-complexity":[167],"model":[169,188],"[1]":[171],"25%":[173],"less":[174],"computational":[175,181],"requirements,":[176],"given":[180],"resource,":[182],"outperforms":[184],"single":[186],"pruned":[187],"19%":[191],"increase":[192],"QoS.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
