{"id":"https://openalex.org/W2783311157","doi":"https://doi.org/10.1109/tnnls.2017.2785233","title":"Extreme Trust Region Policy Optimization for Active Object Recognition","display_name":"Extreme Trust Region Policy Optimization for Active Object Recognition","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2783311157","doi":"https://doi.org/10.1109/tnnls.2017.2785233","mag":"2783311157","pmid":"https://pubmed.ncbi.nlm.nih.gov/29771676"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2017.2785233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2785233","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaping Liu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4042-6044","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035729885","display_name":"Yupei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupei Wu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055546056","display_name":"Fuchun Sun","orcid":"https://orcid.org/0000-0003-3546-6305"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchun Sun","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.2619,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94985815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"29","issue":"6","first_page":"2253","last_page":"2258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7423443794250488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7262932658195496},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.672245979309082},{"id":"https://openalex.org/keywords/trust-region","display_name":"Trust region","score":0.6521762609481812},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6302476525306702},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5921673774719238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896194577217102},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5430819392204285},{"id":"https://openalex.org/keywords/extreme-point","display_name":"Extreme point","score":0.527725100517273},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49692395329475403},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4368402361869812},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4226435720920563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3516697585582733},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.29660531878471375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2110712230205536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11994516849517822},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11035019159317017},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10595443844795227}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7423443794250488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7262932658195496},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.672245979309082},{"id":"https://openalex.org/C89109886","wikidata":"https://www.wikidata.org/wiki/Q1535924","display_name":"Trust region","level":3,"score":0.6521762609481812},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6302476525306702},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5921673774719238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896194577217102},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5430819392204285},{"id":"https://openalex.org/C39847760","wikidata":"https://www.wikidata.org/wiki/Q1385465","display_name":"Extreme point","level":2,"score":0.527725100517273},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49692395329475403},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4368402361869812},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4226435720920563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3516697585582733},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29660531878471375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2110712230205536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11994516849517822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11035019159317017},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10595443844795227},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2017.2785233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2017.2785233","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:29771676","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29771676","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 neural networks and learning systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2431234709","display_name":null,"funder_award_id":"61673238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4971494114","display_name":null,"funder_award_id":"D171100005017002","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G7440672857","display_name":null,"funder_award_id":"U1613212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8050318645","display_name":null,"funder_award_id":"61327809","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"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W89081020","https://openalex.org/W132913331","https://openalex.org/W310527269","https://openalex.org/W1499669280","https://openalex.org/W1531621014","https://openalex.org/W1536523620","https://openalex.org/W1588884749","https://openalex.org/W1771410628","https://openalex.org/W1977655452","https://openalex.org/W1989823960","https://openalex.org/W1994280577","https://openalex.org/W2017995647","https://openalex.org/W2018995617","https://openalex.org/W2022072949","https://openalex.org/W2026131661","https://openalex.org/W2043948511","https://openalex.org/W2055647814","https://openalex.org/W2059501997","https://openalex.org/W2066906022","https://openalex.org/W2067444778","https://openalex.org/W2111072639","https://openalex.org/W2145339207","https://openalex.org/W2179488730","https://openalex.org/W2181784984","https://openalex.org/W2305307382","https://openalex.org/W2326446657","https://openalex.org/W2524771588","https://openalex.org/W2538419421","https://openalex.org/W2752898187","https://openalex.org/W2963864421","https://openalex.org/W4251992071","https://openalex.org/W6661393938","https://openalex.org/W6697740754"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W2080108722","https://openalex.org/W2752681920","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W1997473290","https://openalex.org/W2353911672","https://openalex.org/W2804652951","https://openalex.org/W2920992411"],"abstract_inverted_index":{"In":[0],"this":[1],"brief,":[2],"we":[3],"develop":[4],"a":[5,16],"deep":[6],"reinforcement":[7],"learning":[8,49],"method":[9,32],"to":[10,26,54],"actively":[11],"recognize":[12],"objects":[13],"by":[14,46],"choosing":[15],"sequence":[17],"of":[18,70],"actions":[19],"for":[20],"an":[21,47],"active":[22],"camera":[23],"that":[24],"helps":[25],"discriminate":[27],"between":[28],"the":[29,42,62,68,71],"objects.":[30],"The":[31,58],"is":[33,44],"realized":[34,45],"using":[35],"trust":[36,74],"region":[37,75],"policy":[38,43],"optimization,":[39],"in":[40],"which":[41],"extreme":[48,73],"machine":[50],"and,":[51],"therefore,":[52],"leads":[53],"efficient":[55],"optimization":[56,76],"algorithm.":[57],"experimental":[59],"results":[60],"on":[61],"publicly":[63],"available":[64],"data":[65],"set":[66],"show":[67],"advantages":[69],"developed":[72],"method.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
