{"id":"https://openalex.org/W3089997764","doi":"https://doi.org/10.1109/iscas45731.2020.9181149","title":"Deep Reinforcement Learning for Analog Circuit Sizing","display_name":"Deep Reinforcement Learning for Analog Circuit Sizing","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3089997764","doi":"https://doi.org/10.1109/iscas45731.2020.9181149","mag":"3089997764"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9181149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059244271","display_name":"Zhenxin Zhao","orcid":"https://orcid.org/0000-0003-4902-353X"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhenxin Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John&#x0027;s, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John&#x0027;s, Canada","institution_ids":["https://openalex.org/I130438778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705837","display_name":"Lihong Zhang","orcid":"https://orcid.org/0000-0003-2946-8072"},"institutions":[{"id":"https://openalex.org/I130438778","display_name":"Memorial University of Newfoundland","ror":"https://ror.org/04haebc03","country_code":"CA","type":"education","lineage":["https://openalex.org/I130438778"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lihong Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John&#x0027;s, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John&#x0027;s, Canada","institution_ids":["https://openalex.org/I130438778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130438778"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","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/computer-science","display_name":"Computer science","score":0.7670674324035645},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7136025428771973},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.678899347782135},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5628519058227539},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4920017421245575},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4694706201553345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4547724723815918},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4390876889228821},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42931488156318665},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4101666808128357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3802873194217682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11852407455444336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11628773808479309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670674324035645},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7136025428771973},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.678899347782135},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5628519058227539},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4920017421245575},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4694706201553345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4547724723815918},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4390876889228821},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42931488156318665},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4101666808128357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3802873194217682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11852407455444336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11628773808479309},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas45731.2020.9181149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1998752433","https://openalex.org/W2018790177","https://openalex.org/W2121863487","https://openalex.org/W2155675690","https://openalex.org/W2539776105","https://openalex.org/W2588897393","https://openalex.org/W2769791151","https://openalex.org/W2778822537","https://openalex.org/W2800869073","https://openalex.org/W6677916085","https://openalex.org/W6683077198"],"related_works":["https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W2020653254","https://openalex.org/W2010454064","https://openalex.org/W2352072014","https://openalex.org/W217279133","https://openalex.org/W2393487946","https://openalex.org/W4390846322"],"abstract_inverted_index":{"Automated":[0],"analog":[1,40],"circuit":[2,41,120],"sizing":[3],"is":[4],"always":[5],"a":[6,53,89,94],"challenging":[7],"task,":[8],"due":[9],"to":[10,64,80,112,116,127],"high":[11],"complexity":[12],"involved,":[13],"huge":[14],"design":[15],"space":[16],"searched,":[17],"and":[18,29,59,103,140],"conflicting":[19],"constraints":[20],"traded":[21],"off.":[22],"This":[23],"paper":[24],"proposes":[25],"an":[26],"automated":[27],"trial":[28],"error":[30],"approach":[31],"that":[32,69,92],"combines":[33],"reinforcement":[34],"learning":[35,38,46],"with":[36],"deep":[37],"for":[39],"sizing.":[42],"Through":[43],"the":[44,48,67,71,83,100,106,119,124,128,134,137,143],"self-improvement":[45,144],"way,":[47],"proposed":[49,138],"method":[50],"behaves":[51],"like":[52],"designer,":[54],"who":[55],"learns":[56],"from":[57],"trials":[58],"derives":[60],"experience,":[61],"evolving":[62],"itself":[63],"finally":[65],"discover":[66],"sizes":[68],"satisfy":[70],"performance":[72],"specification":[73],"based":[74],"on":[75],"simulation":[76],"results.":[77],"In":[78],"order":[79],"greatly":[81],"reduce":[82],"number":[84],"of":[85,136],"simulations,":[86],"we":[87],"propose":[88],"symbolic":[90,114],"filter":[91],"builds":[93],"polynomial":[95],"equation":[96],"system":[97],"by":[98],"utilizing":[99],"curve-fitting":[101],"results":[102,132],"then":[104],"applies":[105],"worked":[107],"out":[108],"small-signal":[109],"parameter":[110],"values":[111],"implement":[113],"analysis":[115],"quickly":[117],"evaluate":[118],"performance,":[121],"passing":[122],"only":[123],"satisfied":[125],"ones":[126],"simulator.":[129],"Our":[130],"experimental":[131],"demonstrate":[133],"reliability":[135],"method,":[139],"also":[141],"reveal":[142],"capability.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
