{"id":"https://openalex.org/W3093655779","doi":"https://doi.org/10.1109/tcyb.2020.3028378","title":"Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning","display_name":"Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning","publication_year":2020,"publication_date":"2020-10-23","ids":{"openalex":"https://openalex.org/W3093655779","doi":"https://doi.org/10.1109/tcyb.2020.3028378","mag":"3093655779","pmid":"https://pubmed.ncbi.nlm.nih.gov/33095739"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3028378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3028378","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5072596372","display_name":"Zhixiong Xu","orcid":"https://orcid.org/0000-0003-0996-436X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiong Xu","raw_affiliation_strings":["Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~"],"raw_orcid":"https://orcid.org/0000-0003-0996-436X","affiliations":[{"raw_affiliation_string":"Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030992865","display_name":"Xiliang Chen","orcid":"https://orcid.org/0000-0001-5198-0932"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiliang Chen","raw_affiliation_strings":["Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~"],"raw_orcid":"https://orcid.org/0000-0001-5198-0932","affiliations":[{"raw_affiliation_string":"Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078602454","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-6997-8504"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~"],"raw_orcid":"https://orcid.org/0000-0002-6997-8504","affiliations":[{"raw_affiliation_string":"Institute of Command and Control Engineering, Army Engineering University, Nanjing, China~","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4895,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86582463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"52","issue":"6","first_page":"5209","last_page":"5218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9944000244140625,"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/T12676","display_name":"Machine Learning and ELM","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8454023599624634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889952659606934},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7123159766197205},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7061359882354736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693530082702637},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5654257535934448},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5453277826309204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5311749577522278}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8454023599624634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889952659606934},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7123159766197205},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7061359882354736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693530082702637},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5654257535934448},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5453277826309204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5311749577522278},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3028378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3028378","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:33095739","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33095739","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1969291558","https://openalex.org/W1996579288","https://openalex.org/W2064675550","https://openalex.org/W2095727900","https://openalex.org/W2119717200","https://openalex.org/W2145339207","https://openalex.org/W2158782408","https://openalex.org/W2257979135","https://openalex.org/W2578206533","https://openalex.org/W2595840341","https://openalex.org/W2761434131","https://openalex.org/W2763153488","https://openalex.org/W2787501667","https://openalex.org/W2914752403","https://openalex.org/W2915329514","https://openalex.org/W2945020056","https://openalex.org/W2950419939","https://openalex.org/W2962974944","https://openalex.org/W2963608065","https://openalex.org/W2970896257","https://openalex.org/W2978329087","https://openalex.org/W2990761674","https://openalex.org/W4212774754","https://openalex.org/W4289107468","https://openalex.org/W4294646197","https://openalex.org/W4298406109","https://openalex.org/W6633774736","https://openalex.org/W6638018090","https://openalex.org/W6704571135","https://openalex.org/W6717367658","https://openalex.org/W6736057607","https://openalex.org/W6748136086","https://openalex.org/W6751281049","https://openalex.org/W6752031173","https://openalex.org/W6765145614"],"related_works":["https://openalex.org/W3200361725","https://openalex.org/W4319309271","https://openalex.org/W4319083788","https://openalex.org/W3092824172","https://openalex.org/W3037114224","https://openalex.org/W3105036711","https://openalex.org/W3022038857","https://openalex.org/W4287647350","https://openalex.org/W2980152232","https://openalex.org/W4226082087"],"abstract_inverted_index":{"Deep":[0],"reinforcement":[1,177],"learning":[2,178],"(DRL)":[3],"recently":[4],"has":[5],"attained":[6],"remarkable":[7],"results":[8,175],"in":[9,22,155],"various":[10],"domains,":[11],"including":[12],"games,":[13],"robotics,":[14],"and":[15,39,58,100,162,189],"recommender":[16],"system.":[17],"Nevertheless,":[18],"an":[19],"urgent":[20],"problem":[21],"the":[23,52,55,64,68,72,88,104,110,116,124,137,142,147,152,156,163,173,182],"practical":[24],"application":[25],"of":[26,54,67,85,112,121,136,149,165,198],"DRL":[27],"is":[28,74,119,159,170],"fast":[29,44],"adaptation.":[30],"To":[31],"this":[32,34],"end,":[33],"article":[35],"proposes":[36],"a":[37,82,113,128,191,196],"new":[38,192],"versatile":[40],"metalearning":[41,48,60,187],"approach":[42,184],"called":[43],"task":[45,98,101,138],"adaptation":[46],"via":[47],"(FTAML),":[49],"which":[50],"leverages":[51],"strengths":[53],"model-based":[56,105,143,153],"methods":[57,61],"gradient-based":[59,117],"for":[62,151],"training":[63],"initial":[65],"parameters":[66],"model,":[69],"such":[70],"that":[71,181],"model":[73],"able":[75],"to":[76,96,108],"efficiently":[77],"master":[78],"unseen":[79],"tasks":[80],"with":[81,126,167],"little":[83],"amount":[84],"data":[86],"from":[87],"tasks.":[89,201],"The":[90],"proposed":[91,157,183],"algorithm":[92],"makes":[93],"it":[94],"possible":[95],"separate":[97],"optimization":[99],"identification,":[102],"specifically,":[103],"learner":[106,154],"helps":[107],"identify":[109],"pattern":[111],"task,":[114],"while":[115],"metalearner":[118],"capable":[120],"consistently":[122],"improving":[123],"performance":[125,164,194],"only":[127],"few":[129],"gradient":[130],"update":[131],"steps":[132],"through":[133],"making":[134],"use":[135],"embedding":[139],"produced":[140],"by":[141],"learner.":[144],"In":[145],"addition,":[146],"choice":[148],"network":[150],"method":[158],"also":[160],"discussed,":[161],"networks":[166],"different":[168],"depths":[169],"explored.":[171],"Finally,":[172],"simulation":[174],"on":[176,195],"problems":[179],"demonstrate":[180],"outperforms":[185],"compared":[186],"algorithms":[188],"delivers":[190],"state-of-the-art":[193],"variety":[197],"challenging":[199],"control":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
