{“id”:“https://openalex.org/W2962834855“,”doi“:”https://doi.org/10.1016/j.neunet.2017.12.012“,”title“:”强化学习中神经网络函数逼近的Sigmoid-weighted线性单位“,”display_name“:”加强学习中神经网函数逼近的Sigmoid-weighted线性单元“,”publication_year“:2018,”publitation_date“:”2018-01-11“,”ids“:{”openalex“:”https://openalex.org/W2962834855“,”doi“:”https://doi.org/10.1016/j.neunet.2017.12.012“,”mag“:”2962834855“,”pmid“:”https://pubmed.ncbi.nlm.nih.gov/29395652“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1016/j.neuet.2017.12.012“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S123019304“,”display_name“:”Neural Networks“,”issn_l“:”0893-6080“,”isn“:[”0893-6080“,”1879-2782“],”is_oa“:false,”is_ in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”host_organization_name“:”爱思唯尔BV“,”host_organization_lineage“:[”https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“cc-by-nc-nd”,“licence_id”:“https://openalex.org/licenses/cc-by-nc-nd“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”type“:”article“,”type_crossref“:“journal-article”,”indexed_in“:[”crossref“,”publimed“],”open_access“:{”is_oa“:true,”oa_status“:”hybrid“,”oa_url“:”https://doi.org/10.1016/j.neunet.2017.12.012“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5068305732“,”display_name“:”Stefan Elfwing“,”orcid“:”https://orcid.org/0000-0001-6689-1000“},”机构“:[],”国家“:[”JP“],”is_corresponding“:true,”raw_author_name“:”Stefan Elfwing“,”raw_affiation_string“:[”ATR计算神经科学实验室脑机器人接口系,2-2-2 Hikaridai,Seikacho,Soraku gun,Kyoto 619-0288,日本“],”附属机构“:[{”raw_affiation_string“:”ATR计算神经科学实验室脑机器人接口部,2-2-2 Hikaridai,Seikacho,Soraku-gun,Kyoto 619-0288,日本“,“institution_ids”:[]}]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5031054137“,”display_name“:”Eiji Uchibe“,”orcid“:”https://orcid.org/0000-0001-7908-0258},“机构”:[{“id”:https://openalex.org/I142637625“,”display_name“:”冲绳理工大学研究生院“,”ror“:”https://ror.org/02qg15b79“,”country_code“:”JP“,”type“:“教育”,”世系“:[”https://openalex.org/I142637625“]}],”国家“:[”JP“],”is_corresponding“:false,”raw_author_name“:”Eiji Uchibe“,”raw _affiliation_strings“:[“ATR计算神经科学实验室脑机器人接口部,2-2-2 Hikaridai,Seikacho,Soraku-gun,Kyoto 619-0288,日本”,“冲绳科学技术研究所研究生大学,1919-1 Tancha,Onna-son,Okinawa 904-0495,Japan“],“affiliations”:[{“raw_affiliation_string”:“冲绳科学与技术研究所大学,1919-1 Tanchahttps://openalex.org/I142637625“]},{”raw_affiliation_string“:”ATR计算神经科学实验室脑-机器人接口部,2-2-2 Hikaridai,Seikacho,Soraku-gun,Kyoto 619-0288,日本“,”institution_ids“:[]}]}“,{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5004840638“,”display_name“:”Kenji Doya“,”orcid“:”https://orcid.org/0000-0002-2446-6820},“机构”:[{“id”:https://openalex.org/I142637625“,”display_name“:”冲绳理工大学研究生院“,”ror“:”https://ror.org/02qg15b79“,”country_code“:”JP“,”type“:“教育”,”世系“:[”https://openalex.org/I142637625“]}],”国家“:[”JP“],”is_corresponding“:false,”raw_author_name“:”Kenji Doya“,”raw _ afiliation_strings“:[“冲绳科学技术研究生院,1919-1 Tancha,Onna-son,Okinawa 904-0495,Japan”],“afiliations”:[{“raw _ ffiliation_string”:“冲绳科学技术研究生院,1919-1 Tancha,Onna-son,Okinawa 904-0495,Japan“,”institution_ids“:[”https://openalex.org/I142637625“]}]}],”institution_assertions“:[],”countries_distiction_count“:1,”institutions_disticent_count”:1,“corresponding_author_ids”:[“https://openalex.org/A5068305732“],”corresponding_institution_ids“:[],”apc_list“:{”value“:3350,”currency“:”USD“,”value_USD“:33500,”provenance“:”doaj“},”apc _payed“:{”value”:3350,”curency“:”US“,”value_USD”:3350“provenance”:“doaj”},“fwci”:40.077,“has_fulltext”:true,“fulltext_origin”:“pdf”,“cited_by_count”:949 8,“引文规范化百分比”:{“值”:0.99997,“is_in_top_1_percent“:true,”is_in_top_10_percennt“:true},”cited_by_percentile_year“:{”min“:99,”max“:100},“biblio”:{“volume”:“107”,”issue“:null,”first_page“:”3“,”last_page“:”11https://openalex.org/T10462“,”display_name“:”强化学习算法“,”score“:0.9997,”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“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10462“,”display_name“:”强化学习算法“,”score“:0.9997,”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“:”物理科学“}},{”id“:”https://openalex.org/T1975“,”“display_name”:“遗传编程在机器学习中的应用”,“score”:0.989,“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“:”物理科学“}},{”id“:”https://openalex.org/T11574“,”display_name“:”游戏人工智能研究“,”score“:0.9785,”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“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/sigmoid函数“,”display_name“:”Sigmoid函数“,”score“:0.9055527},{”id“:”https://openalex.org/keywords/softmax-function网站“,”display_name“:”Softmax函数“,”score“:0.8615638},{”id“:”https://openalex.org/keywords/reinforcement-learning网站“,”display_name“:”强化学习“,”score“:0.607465},{”id“:”https://openalex.org/keywords/function-aapproximation网站“,”display_name“:”函数近似“,”score“:0.542988},{”id“:”https://openalex.org/keywords/dep-learning网站“,”display_name“:”深度学习“,”score“:0.522648},{”id“:”https://openalex.org/keywords/symbolic-regression网站“,”display_name“:”符号回归“,”score“:0.519612},{”id“:”https://openalex.org/keywords/activation-function网站“,”display_name“:”激活函数“,”score“:0.48104647}],”概念“:[{”id“:”https://openalex.org/C81388566,“wikidata”:https://www.wikidata.org/wiki/Q526668“,”display_name“:”Sigmoid函数“,”level“:3,”score“:0.9055527},{”id“:”https://openalex.org/C97541855,“wikidata”:https://www.wikidata.org/wiki/Q830687“,”display_name“:”强化学习“,”level“:2,”score“:0.89609325},{”id“:”https://openalex.org/C188441871,“wikidata”:https://www.wikidata.org/wiki/Q7554146“,”display_name“:”Softmax函数“,”level“:3,”score“:0.8615638},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7645383},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.66264725},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.60622984},{”id“:”https://openalex.org/C91873725,“wikidata”:https://www.wikidata.org/wiki/Q3445816“,”display_name“:”函数近似“,”level“:3,”score“:0.542988},{”id“:”https://openalex.org/C38365724,“wikidata”:https://www.wikidata.org/wiki/Q4677469“,”“display_name”“:”激活功能“,”级别“:3,”分数“:0.48104647},{”id“:”https://openalex.org/C14036430网址,“wikidata”:https://www.wikidata.org/wiki/Q3736076“,”display_name“:”功能(生物学)“,”级别“:2,”分数“:0.4547448},{”id“:”https://openalex.org/C78458016,“wikidata”:https://www.wikidata.org/wiki/Q840400“,”display_name“:”进化生物学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C86803240,“wikidata”:https://www.wikidata.org/wiki/Q420“,”display_name“:”Biology“,”level“:0,”score“:0.0}],”mesh“:[{”descriptor_ui“:”D000077321“,”描述符名称“:”Deep Learning“,”qualifier_ui”:“”,“qualifier _name”:null,“is_major_topic”:true},{”描述符_ ui“:”D016571“,”descriptor _name“:”Neural Networks,Computer“,”限定符_ui unt“:4,”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1016/j.neunet.2017.12.012“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S123019304“,”display_name“:”Neural Networks“,”issn_l“:”0893-6080“,”isn“:[”0893-6080“,”1879-2782“],”is_oa“:false,”is_ in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”host_organization_name“:”爱思唯尔BV“,”host_organization_lineage“:[”https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“cc-by-nc-nd”,“licence_id”:“https://openalex.org/licenses/cc-by-nc-nd“,”版本“:”已发布版本“,”is_accepted“:true,”is_published“:true},{”is_oa“:true,”landing_page_url“:”https://oist.repo.nii.ac.jp/?action=repository_action_common_download&item_id=659&item_no=1&attribute_id=22&file_no=1,“pdf_url”:https://oist.repo.nii.ac.jp/?action=repository_action_common_download&item_id=659&item_no=1&attribute_id=22&file_no=1,“源”:{“id”:https://openalex.org/S4306402452“,”“display_name”“:”冲绳科学技术研究生院(冲绳理工研究生院)“,”https://openalex.org/I142637625“,”“host_organization_name”:“冲绳理工大学研究生院”,“host_ordanization_lineage”:[“https://openalex.org/I142637625“],”host_organization_lineage_names“:[”冲绳理工大学研究生院“],“type”:“repository”},“license”:“cc-by-nc-nd”,“licence_id”:“https://openalex.org/licenses/cc-by-nc-nd“,”版本“:”已发布版本“,”is_accepted“:true,”is_published“:true},{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/1702.03118,“pdf_url”:https://arxiv.org/pdf/1702.03118,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”Cornell University“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false},{“is_oa”:false,“landing_page_url”:“https://pubmed.ncbi.nlm.nih.gov/29395652“,”pdf_url“:空,”源“:{”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“:”美国国立卫生研究院“,”host_organization_lineage“:[”https://openalex.org/I1299303238“],”host_organization_lineage_names“:[”National Institutes of Health“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.1016/j.neunet.2017.12.012“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S123019304“,”display_name“:”Neural Networks“,”issn_l“:”0893-6080“,”isn“:[”0893-6080“,”1879-2782“],”is_oa“:false,”is_ in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”host_organization_name“:”爱思唯尔BV“,”host_organization_lineage“:[”https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:“cc-by-nc-nd”,“licence_id”:“https://openalex.org/licenses/cc-by-nc-nd“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”sustainable_development_goals“:[{”score“:0.41,”display_name“:”和平、正义和强大的制度“,”id“:”https://metadata.un.org/sdg/16“}],”拨款“:[{”资助者“:”https://openalex.org/F4320320912“,”funder_display_name“:”文部科学省“,”award_id“:”17H06042“},{”funder“:”https://openalex.org/F4320320912“,”“funder_display_name”:“教育、文化、体育、科学技术部”,“award_id”:“16H06563”},{“funder”:“https://openalex.org/F4320321034“,”“funder_display_name”:“新能源和工业技术开发组织”,“award_id”:null},{“funder”:“https://openalex.org/F4320322443“,”funder_display_name“:”冲绳理工大学研究生院“,”award_id“:null}],”datasets“:[],”versions“:[],”referenced_works_count“:22,”referrenced_works“:[”https://openalex.org/W145490631","https://openalex.org/W1572063013","https://openalex.org/W1813659000","https://openalex.org/W1889629917","https://openalex.org/W1992379266","https://openalex.org/W2041367235","https://openalex.org/W2048865854","https://openalex.org/W2064556564","https://openalex.org/W2100677568","https://openalex.org/W2108598243","https://openalex.org/W2116064496","https://openalex.org/W2124175081","https://openalex.org/W2145339207","https://openalex.org/W2150468603","https://openalex.org/W2165225968","https://openalex.org/W2257979135","https://openalex.org/W2339916026","https://openalex.org/W2508424122","https://openalex.org/W2766447205","https://openalex.org/W3041202696","https://openalex.org/W3207021134","https://openalex.org/W4214717370“],”related_works“:[”https://openalex.org/W4376118624","https://openalex.org/W4285326772","https://openalex.org/W4283785902","https://openalex.org/W3170224572","https://openalex.org/W3134817226","https://openalex.org/W3110577345","https://openalex.org/W3032499992","https://openalex.org/W3024979424","https://openalex.org/W2895192346","https://openalex.org/W2041004593“],”abstract_inverted_index“:{”In“:[0],”最近“:[1],”年份“:[2],”神经“:[3,55],”网络“:[4],”拥有“:[5],”享受“:[6],”a“:[71194111167],”复兴“:[8],”as“:[9],”函数“:[10,57,70,82],”近似器“:[11],”In“:[12,25,36,5914160],”强化“:[13,29,60],”学习。“:[14],”两个“:[15],”几十年“:[16],”之后“:[17],”Tesauro\u2019s“:[18],”TD-Gammon“:[19],”已实现“:[20,33],”接近“:[21],”顶级“:[22],”人类“:[23],”性能“:[24,35],”双陆棋“:[26],”the“:[27,62,75,80,91116161],”deep“:[28168],”learning“:[30,98149],”algorithm“:[31],”DQN“:[32159],”human-level“:[34],”many“:[37],”Atari“:38162],”2600“:[39163],”游戏。“:[40],”The“:[41,72],”purpose“:[42],”of“:[43,74,95103],”this“:[44],”study“:[45],”is“:[46,77],”two-fold。“:[47],“第一,”:[48],“我们”:[49,88],“提议”:[50],“两个”:[51],“激活”:[52,73],“函数”:[53],“for”:[54118],“网络”:[56153],“近似值”:[58],“学习:”:[61],“σ加权”:[63],“线性”:[64],“单位”:[65],“(SiLU)”:[66],“和”:[67106138150173],“其”:[68,85],“导数”:[69],“(dSiLU)。“:[71],”SiLU“:[76172],”computed“:[78],”by“:[79,84157165],”sigmoid“:+81],”乘以“:[83],”输入。“:[86],”第二,“:[87],”建议“:[89],”那“:[90],”更多“:[92],”传统“:[93],”方法“:[94127],”使用“:[96147166],”政策“:[97],”with“:[99113140171],”合格性“:[100],”跟踪,“:[101],”代替“:[102],”经验“:[104],”回放,“:%105],”softmax“:[107],”操作“:[108],”选择“:[109],“can”:[110],“be”:[111],“competitive”:[112],“DQN,“:[114],”无“:[115],”需要“:[117],”分离“:[120],”目标“:[121],”网络“:[122],”我们“:[123],”验证“:[124],”我方“:[125],”建议“:[126],”由“,”:[128],“第一,”:%129],“实现”:[130],“新”:[131],“最先进”:[132],“结果”:[133],“两者”:[135],“随机”:[136],“SZ-Te tris“:[137],“俄罗斯方块”:[139],“小”:[142],“10”:[143145],“\u00d7”:[144],“董事会”:[146],“TD(\u03bb)”:[148],“浅层”:[151],“dSiLU”:[152174],“代理”,“:[154],”和,“:%155],”然后,“:156],“表现优异”:[158],“域”:[164],“Sarsa(\u02bb)“:[169],“代理人”:[170],“隐藏”:[175],“单位”:[176]},“cited_by_api_url”:“https://api.openalex.org/works?filter=cites:W2962834855“,”counts_by_year“:[{年:2024,”cited_by_count“:209},{年“:2023,”cited_by_count”:290},“年”:2022,“引用_by_cunt”:166}{“年份”:2017,“引用_ by_count”:1}],“更新日期”:“2024-09-24T08:05:32.698399”,“创建日期“:”2019-07-30“}