{"id":"https://openalex.org/W3004540924","doi":"https://doi.org/10.1016/j.jpdc.2019.07.008","title":"Distributed Bayesian optimization of deep reinforcement learning algorithms","display_name":"Distributed Bayesian optimization of deep reinforcement learning algorithms","publication_year":2020,"publication_date":"2020-02-04","ids":{"openalex":"https://openalex.org/W3004540924","doi":"https://doi.org/10.1016/j.jpdc.2019.07.008","mag":"3004540924"},"language":"en","primary_location":{"id":"doi:10.1016/j.jpdc.2019.07.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jpdc.2019.07.008","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.jpdc.2019.07.008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039017664","display_name":"M. Todd Young","orcid":"https://orcid.org/0000-0003-1628-1962"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Todd Young","raw_affiliation_strings":["Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039044523","display_name":"Jacob Hinkle","orcid":"https://orcid.org/0000-0002-7751-1760"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob D. Hinkle","raw_affiliation_strings":["Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014168997","display_name":"Ramakrishnan Kannan","orcid":"https://orcid.org/0000-0002-5852-4806"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Kannan","raw_affiliation_strings":["Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028188095","display_name":"Arvind Ramanathan","orcid":"https://orcid.org/0000-0002-1622-5488"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arvind Ramanathan","raw_affiliation_strings":["Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"affiliations":[{"raw_affiliation_string":"Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028188095"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":{"value":3160,"currency":"USD","value_usd":3160},"apc_paid":{"value":3160,"currency":"USD","value_usd":3160},"fwci":3.4654,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93863925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"139","issue":null,"first_page":"43","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.9278122186660767},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.8347271084785461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8123360872268677},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.756381094455719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7085655927658081},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.668516218662262},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5129706263542175},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4488343894481659},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4179225564002991}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9278122186660767},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.8347271084785461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123360872268677},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.756381094455719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7085655927658081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.668516218662262},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5129706263542175},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4488343894481659},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4179225564002991},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.jpdc.2019.07.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jpdc.2019.07.008","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1597130","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1597130","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:oai:osti.gov:1607018","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1607018","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"doi:10.1016/j.jpdc.2019.07.008","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jpdc.2019.07.008","pdf_url":null,"source":{"id":"https://openalex.org/S157146593","display_name":"Journal of Parallel and Distributed Computing","issn_l":"0743-7315","issn":["0743-7315","1096-0848"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Parallel and Distributed Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W107583932","https://openalex.org/W1191599655","https://openalex.org/W1481170590","https://openalex.org/W1481631336","https://openalex.org/W1503398984","https://openalex.org/W1515851193","https://openalex.org/W1529817821","https://openalex.org/W1598705702","https://openalex.org/W1701825639","https://openalex.org/W1746819321","https://openalex.org/W1757796397","https://openalex.org/W2106411961","https://openalex.org/W2131824593","https://openalex.org/W2189149359","https://openalex.org/W2257979135","https://openalex.org/W2404342324","https://openalex.org/W2408019865","https://openalex.org/W2500595894","https://openalex.org/W2556958149","https://openalex.org/W2593390416","https://openalex.org/W2604272474","https://openalex.org/W2627076442","https://openalex.org/W2736601468","https://openalex.org/W2749928749","https://openalex.org/W2754517384","https://openalex.org/W2785842807","https://openalex.org/W2877093712","https://openalex.org/W2885163910","https://openalex.org/W2903717821","https://openalex.org/W2915909819","https://openalex.org/W2950182411","https://openalex.org/W2962872206","https://openalex.org/W2963095800","https://openalex.org/W2963403143","https://openalex.org/W2963474950","https://openalex.org/W2963815651","https://openalex.org/W3003506411","https://openalex.org/W3210800143","https://openalex.org/W4211049957","https://openalex.org/W4252003911","https://openalex.org/W4298857966","https://openalex.org/W6629804754","https://openalex.org/W6635749265","https://openalex.org/W6637653338","https://openalex.org/W6676179485","https://openalex.org/W6678911119","https://openalex.org/W6679608865","https://openalex.org/W6713347985","https://openalex.org/W6724521864","https://openalex.org/W6730169791","https://openalex.org/W6744123322","https://openalex.org/W6753614221","https://openalex.org/W6759483739"],"related_works":["https://openalex.org/W3169687406","https://openalex.org/W3206613651","https://openalex.org/W4286902601","https://openalex.org/W2200000192","https://openalex.org/W2395916875","https://openalex.org/W2405673391","https://openalex.org/W3103707007","https://openalex.org/W2906178137","https://openalex.org/W2963001956","https://openalex.org/W2782093256"],"abstract_inverted_index":{"Significant":[0],"strides":[1],"have":[2],"been":[3],"made":[4],"in":[5,33],"supervised":[6],"learning":[7,26,39],"settings":[8],"thanks":[9],"to":[10,27,58,63,75],"the":[11,22,34],"successful":[12],"application":[13],"of":[14,24,36],"deep":[15,25,37],"learning.":[16],"Now,":[17],"recent":[18],"work":[19],"has":[20],"brought":[21],"techniques":[23,98],"bear":[28],"on":[29],"sequential":[30],"decision":[31],"processes":[32],"area":[35],"reinforcement":[38],"(DRL).":[40],"Currently,":[41],"little":[42],"is":[43],"known":[44,62],"regarding":[45],"hyperparameter":[46,96],"optimization":[47,86,97],"for":[48,70],"DRL":[49,53,71,101],"algorithms.":[50,102],"Given":[51],"that":[52,91],"algorithms":[54],"are":[55,61],"computationally":[56],"intensive":[57],"train,":[59],"and":[60,89],"be":[64],"sample":[65],"inefficient,":[66],"optimizing":[67],"model":[68],"hyperparameters":[69],"presents":[72],"significant":[73],"challenges":[74],"established":[76],"techniques.":[77],"We":[78],"provide":[79],"an":[80],"open":[81],"source,":[82],"distributed":[83],"Bayesian":[84],"model-based":[85],"algorithm,":[87],"HyperSpace,":[88],"show":[90],"it":[92],"consistently":[93],"outperforms":[94],"standard":[95],"across":[99],"three":[100]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
