{"id":"https://openalex.org/W3212856809","doi":"https://doi.org/10.1109/dac18074.2021.9586305","title":"A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning","display_name":"A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3212856809","doi":"https://doi.org/10.1109/dac18074.2021.9586305","mag":"3212856809"},"language":"en","primary_location":{"id":"doi:10.1109/dac18074.2021.9586305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18074.2021.9586305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 58th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-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/A5061572132","display_name":"Yonggan Fu","orcid":"https://orcid.org/0000-0002-7483-2921"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yonggan Fu","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101912939","display_name":"Yongan Zhang","orcid":"https://orcid.org/0000-0001-7919-049X"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongan Zhang","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065172226","display_name":"Chaojian Li","orcid":"https://orcid.org/0000-0003-4030-9777"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaojian Li","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034614246","display_name":"Zhongzhi Yu","orcid":"https://orcid.org/0000-0002-9981-4981"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongzhi Yu","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019582323","display_name":"Yingyan Lin","orcid":"https://orcid.org/0000-0001-5946-203X"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingyan Lin","raw_affiliation_strings":["Rice University"],"affiliations":[{"raw_affiliation_string":"Rice University","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061572132"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73406458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9933000206947327,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9188600778579712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584913969039917},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.48861628770828247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.474739134311676},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44436296820640564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3545076847076416},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33872002363204956},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3361450433731079},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3281906247138977}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9188600778579712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584913969039917},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.48861628770828247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.474739134311676},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44436296820640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3545076847076416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33872002363204956},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3361450433731079},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3281906247138977},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dac18074.2021.9586305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18074.2021.9586305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 58th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-165947","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-165947","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"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":43,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2150468603","https://openalex.org/W2155027007","https://openalex.org/W2156737235","https://openalex.org/W2466675884","https://openalex.org/W2547875792","https://openalex.org/W2810075754","https://openalex.org/W2899915146","https://openalex.org/W2931767035","https://openalex.org/W2946396478","https://openalex.org/W2951104886","https://openalex.org/W2953144887","https://openalex.org/W2962847160","https://openalex.org/W2964043796","https://openalex.org/W2964259004","https://openalex.org/W2967733054","https://openalex.org/W2997828269","https://openalex.org/W2997929983","https://openalex.org/W3015497938","https://openalex.org/W3016142271","https://openalex.org/W3034906194","https://openalex.org/W3035147638","https://openalex.org/W3042493405","https://openalex.org/W3043495022","https://openalex.org/W3092020069","https://openalex.org/W3095959945","https://openalex.org/W3100789280","https://openalex.org/W3100813974","https://openalex.org/W3103780890","https://openalex.org/W4288083644","https://openalex.org/W6683195989","https://openalex.org/W6683204974","https://openalex.org/W6692846177","https://openalex.org/W6719559416","https://openalex.org/W6729448088","https://openalex.org/W6732837357","https://openalex.org/W6752515464","https://openalex.org/W6756887525","https://openalex.org/W6757204547","https://openalex.org/W6762580838","https://openalex.org/W6765522929","https://openalex.org/W6775571517","https://openalex.org/W6779487836"],"related_works":["https://openalex.org/W1604849300","https://openalex.org/W4231328776","https://openalex.org/W2766061861","https://openalex.org/W1604293003","https://openalex.org/W1979850356","https://openalex.org/W3005040438","https://openalex.org/W3132387835","https://openalex.org/W2910024633","https://openalex.org/W3124750890","https://openalex.org/W3186119517"],"abstract_inverted_index":{"Driven":[0],"by":[1],"the":[2,35,65,70,89],"explosive":[3],"interest":[4],"in":[5],"applying":[6],"deep":[7],"reinforcement":[8],"learning":[9],"(DRL)":[10],"agents":[11,28,74],"to":[12,25,29,60,67],"numerous":[13],"real-time":[14],"control":[15],"and":[16,75,82],"decision-making":[17],"applications,":[18],"there":[19],"has":[20],"been":[21],"a":[22],"growing":[23],"demand":[24],"deploy":[26],"DRL":[27,39,73],"empower":[30],"daily-life":[31],"intelligent":[32],"devices,":[33],"while":[34],"prohibitive":[36],"complexity":[37],"of":[38,91],"stands":[40],"at":[41],"odds":[42],"with":[43],"limited":[44],"on-device":[45],"resources.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"propose":[51],"an":[52],"Automated":[53],"Agent":[54],"Accelerator":[55],"Co-Search":[56],"(A3C-S)":[57],"framework,":[58],"which":[59],"our":[61,92],"best":[62],"knowledge":[63],"is":[64],"first":[66],"automatically":[68],"co-search":[69],"optimally":[71],"matched":[72],"accelerators":[76],"that":[77],"maximize":[78],"both":[79],"test":[80],"scores":[81],"hardware":[83],"efficiency.":[84],"Extensive":[85],"experiments":[86],"consistently":[87],"validate":[88],"superiority":[90],"A3C-S":[93],"over":[94],"state-of-the-art":[95],"techniques.":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}