{"id":"https://openalex.org/W4401070628","doi":"https://doi.org/10.1109/tcad.2024.3435692","title":"RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning","display_name":"RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401070628","doi":"https://doi.org/10.1109/tcad.2024.3435692"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2024.3435692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2024.3435692","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5062801966","display_name":"Weidong Cao","orcid":"https://orcid.org/0000-0001-7539-8250"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weidong Cao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA","Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328696","display_name":"Jian Gao","orcid":"https://orcid.org/0000-0002-9821-3455"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Gao","raw_affiliation_strings":["College of Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102447339","display_name":"Tianrui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianrui Ma","raw_affiliation_strings":["Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA","Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020828228","display_name":"Rui Ma","orcid":"https://orcid.org/0000-0003-1650-6754"},"institutions":[{"id":"https://openalex.org/I4210112549","display_name":"Murata (United States)","ror":"https://ror.org/01rz5qz78","country_code":"US","type":"company","lineage":["https://openalex.org/I4210112549","https://openalex.org/I924388194"]},{"id":"https://openalex.org/I924388194","display_name":"Murata (Japan)","ror":"https://ror.org/04hd8bd67","country_code":"JP","type":"company","lineage":["https://openalex.org/I924388194"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Rui Ma","raw_affiliation_strings":["Department of mmWave PA Systems, pSemi a Murata Company, San Diego, CA, USA","pSemi a Murata company, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of mmWave PA Systems, pSemi a Murata Company, San Diego, CA, USA","institution_ids":["https://openalex.org/I924388194"]},{"raw_affiliation_string":"pSemi a Murata company, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210112549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053957972","display_name":"Mouhacine Benosman","orcid":"https://orcid.org/0000-0002-0154-454X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mouhacine Benosman","raw_affiliation_strings":["Department of Data Analytics, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","Mitsubishi Electric Research Laboratories, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Data Analytics, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010392575","display_name":"Xuan Zhang","orcid":"https://orcid.org/0000-0002-0482-5435"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["College of Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062801966"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":5.6039,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96578893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"44","issue":"2","first_page":"627","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9973999857902527,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6225978136062622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441840291023254},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.41440558433532715},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36664092540740967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33003222942352295},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22859632968902588},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.13024187088012695}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6225978136062622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441840291023254},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.41440558433532715},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36664092540740967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33003222942352295},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22859632968902588},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.13024187088012695},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2024.3435692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2024.3435692","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3515389467","display_name":null,"funder_award_id":"CCF-1942900","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1562942484","https://openalex.org/W1964239621","https://openalex.org/W1994218207","https://openalex.org/W1999357165","https://openalex.org/W2106476087","https://openalex.org/W2125776391","https://openalex.org/W2165666706","https://openalex.org/W2575705757","https://openalex.org/W2738318237","https://openalex.org/W2884001105","https://openalex.org/W2891702861","https://openalex.org/W2945569829","https://openalex.org/W2963390429","https://openalex.org/W2997273453","https://openalex.org/W2998324702","https://openalex.org/W3084645253","https://openalex.org/W3088618441","https://openalex.org/W3089997764","https://openalex.org/W3092618035","https://openalex.org/W3171752851","https://openalex.org/W3185898267","https://openalex.org/W3199544972","https://openalex.org/W3205090792","https://openalex.org/W3211168157","https://openalex.org/W4200520905","https://openalex.org/W4225083336","https://openalex.org/W4232735308","https://openalex.org/W4297990030","https://openalex.org/W4386765237","https://openalex.org/W4387164718","https://openalex.org/W4389166678","https://openalex.org/W6637967152","https://openalex.org/W6684921986","https://openalex.org/W6692846177","https://openalex.org/W6726873649","https://openalex.org/W6741002519","https://openalex.org/W6751513613","https://openalex.org/W6762999492","https://openalex.org/W6763676199","https://openalex.org/W6776921880","https://openalex.org/W6781932242","https://openalex.org/W6786190416"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588"],"abstract_inverted_index":{"Design":[0],"automation":[1,16,256],"of":[2,46,60,75,80,125,159,172,186,230,263,270],"analog":[3,14,31,47,231,245,264],"circuits":[4,150],"has":[5,36],"long":[6],"been":[7],"sought.":[8],"However,":[9],"achieving":[10,81],"robust":[11,28],"and":[12,29,58,64,91,162,166,203,260],"efficient":[13,30,261],"design":[15,82,160,163,255],"remains":[17],"challenging.":[18],"This":[19,70,132,213],"article":[20],"proposes":[21],"a":[22,96,120,134,252],"learning":[23,68,108,201,211],"framework,":[24,174],"RoSE-Opt,":[25],"to":[26,110,137,176,225],"achieve":[27],"circuit":[32,48,52,56,170],"parameter":[33],"optimization.":[34,131],"RoSE-Opt":[35],"two":[37],"important":[38],"features.":[39],"First,":[40],"it":[41,94],"incorporates":[42],"key":[43],"domain":[44],"knowledge":[45],"design,":[49],"such":[50,191],"as":[51,192],"topology,":[53],"couplings":[54],"between":[55],"specifications,":[57],"variations":[59],"process,":[61],"supply":[62],"voltage,":[63],"temperature,":[65],"into":[66],"the":[67,73,140,184,221,227],"loop.":[69],"strategy":[71],"facilitates":[72],"training":[74],"an":[76,126,199,209],"artificial":[77],"agent":[78,142],"capable":[79],"goals":[83],"by":[84],"identifying":[85],"device":[86,228,242,266],"parameters":[87,229],"that":[88,100],"are":[89],"optimal":[90],"robust.":[92],"Second,":[93],"exploits":[95],"two-level":[97],"optimization":[98,104,189,206,243,262],"method,":[99],"is,":[101],"integrating":[102],"Bayesian":[103],"(BO)":[105],"with":[106,143,198,208,217],"reinforcement":[107],"(RL)":[109],"improve":[111],"sample":[112,153],"efficiency.":[113],"In":[114,247],"particular,":[115],"BO":[116],"is":[117],"used":[118],"for":[119,130,244,258],"coarse":[121],"yet":[122],"quick":[123],"search":[124],"initial":[127],"starting":[128],"point":[129],"sets":[133],"solid":[135],"foundation":[136],"efficiently":[138],"train":[139],"RL":[141,188,223],"fewer":[144],"samples.":[145],"Experimental":[146],"evaluations":[147],"on":[148,219],"benchmarking":[149],"show":[151],"promising":[152],"efficiency,":[154],"extraordinary":[155],"figure-of-merit":[156],"in":[157,169,240],"terms":[158],"efficiency":[161],"success":[164],"rate,":[165],"Pareto":[167],"optimality":[168],"performance":[171,185],"our":[173,234,249,271],"compared":[175],"previous":[177],"methods.":[178],"Furthermore,":[179],"this":[180],"work":[181,250],"thoroughly":[182],"studies":[183],"different":[187],"algorithms,":[190],"deep":[193],"deterministic":[194],"policy":[195,205],"gradients":[196],"(DDPGs)":[197],"off-policy":[200],"mechanism":[202],"proximal":[204],"(PPO)":[207],"on-policy":[210],"mechanism.":[212],"investigation":[214],"provides":[215],"users":[216],"guidance":[218],"choosing":[220],"appropriate":[222],"algorithms":[224],"optimize":[226],"circuits.":[232,246],"Finally,":[233],"study":[235],"also":[236],"demonstrates":[237],"RoSE-Opt\u2019s":[238],"promise":[239],"parasitic-aware":[241],"summary,":[248],"reports":[251],"knowledge-infused":[253],"BO-RL":[254],"framework":[257],"reliable":[259],"circuits\u2019":[265],"parameters.":[267],"Code":[268],"implementation":[269],"method":[272],"can":[273],"be":[274],"found":[275],"at":[276],"<uri":[277],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[278],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/xz-group/RoSE</uri>.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
