{"id":"https://openalex.org/W4388980174","doi":"https://doi.org/10.1016/j.ins.2023.119932","title":"Neuroevolutionary diversity policy search for multi-objective reinforcement learning","display_name":"Neuroevolutionary diversity policy search for multi-objective reinforcement learning","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388980174","doi":"https://doi.org/10.1016/j.ins.2023.119932"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2023.119932","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.ins.2023.119932","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083655773","display_name":"Dan Zhou","orcid":"https://orcid.org/0000-0002-4875-1781"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"funder","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Dan Zhou","raw_affiliation_strings":["Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021290444","display_name":"Jiqing Du","orcid":"https://orcid.org/0000-0002-3721-6783"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"funder","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiqing Du","raw_affiliation_strings":["Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047470756","display_name":"Sachiyo Arai","orcid":"https://orcid.org/0000-0002-8899-645X"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"funder","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sachiyo Arai","raw_affiliation_strings":["Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Earth and Environmental Sciences, Department of Urban Environment Systems, Graduate School of Science and Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083655773"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":{"value":3330,"currency":"USD","value_usd":3330},"apc_paid":{"value":3330,"currency":"USD","value_usd":3330},"fwci":0.618,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.481538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":82},"biblio":{"volume":"657","issue":null,"first_page":"119932","last_page":"119932"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9995,"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":0.9995,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9931,"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":0.9919,"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":[],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7736896},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6498193},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6479085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433332},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.59497213},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.59089375},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4772684},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46561077},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4555702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4328782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37601364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22049713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1273607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.108496636},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2023.119932","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2023.119932","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency","award_id":"JPMJSP2109"}],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1585939719","https://openalex.org/W2111935653","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2186820913","https://openalex.org/W2466060750","https://openalex.org/W2560647685","https://openalex.org/W3033405336","https://openalex.org/W3117030342","https://openalex.org/W3200949646","https://openalex.org/W3202838049","https://openalex.org/W32403112","https://openalex.org/W4223629941","https://openalex.org/W4229017229","https://openalex.org/W4232500316","https://openalex.org/W4256719899","https://openalex.org/W4285588358","https://openalex.org/W4286447866","https://openalex.org/W4287266177","https://openalex.org/W4308177782","https://openalex.org/W4312000417","https://openalex.org/W4312327539","https://openalex.org/W4313406920","https://openalex.org/W4313578038","https://openalex.org/W4313598059","https://openalex.org/W4313889501","https://openalex.org/W4362600622","https://openalex.org/W4362650413","https://openalex.org/W4365800092","https://openalex.org/W4366779553","https://openalex.org/W4367666495","https://openalex.org/W4376868870","https://openalex.org/W4378649416","https://openalex.org/W4379652941","https://openalex.org/W4380883789","https://openalex.org/W4386283475","https://openalex.org/W4386376907","https://openalex.org/W4387719018"],"related_works":["https://openalex.org/W4241467429","https://openalex.org/W3083133203","https://openalex.org/W2744462909","https://openalex.org/W2402393579","https://openalex.org/W2384474142","https://openalex.org/W2090178682","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W1994686097","https://openalex.org/W1588199609"],"abstract_inverted_index":{"Sequential":[0],"decision-making":[1],"requires":[2],"balancing":[3],"multiple":[4],"conflicting":[5],"objectives":[6,27],"through":[7],"multi-objective":[8,42,153,167],"reinforcement":[9,33],"learning":[10,34],"(MORL).":[11],"Moreover,":[12],"decision-makers":[13],"desire":[14],"dense":[15,126,190],"solutions":[16,107],"that":[17],"satisfy":[18],"their":[19],"requirements":[20],"and":[21,54,94,147,159,164,191],"consider":[22],"the":[23,51,101,118,177,182,185],"trade-offs":[24],"between":[25],"different":[26],"(Pareto":[28],"optimal":[29,128,194],"solutions).":[30],"Most":[31],"deep":[32,142],"methods":[35],"focus":[36],"on":[37,176],"single-objective":[38],"problems":[39,43],"or":[40],"solve":[41],"using":[44],"simple":[45],"linear":[46],"combinations,":[47],"which":[48],"may":[49],"oversimplify":[50],"underlying":[52],"problem":[53],"lead":[55],"to":[56,68,104,116,120],"suboptimal":[57],"results.":[58],"This":[59],"study":[60],"proposes":[61],"a":[62,79,88,140,152,160,166],"neuroevolutionary":[63],"diversity":[64,95],"policy":[65],"search":[66],"approach":[67],"address":[69],"MORL":[70,134,179],"problems.":[71],"It":[72],"employs":[73],"neural":[74],"networks,":[75],"each":[76],"equipped":[77],"with":[78,136,145,156,169],"buffer":[80],"for":[81],"storing":[82],"recent":[83],"experiences,":[84],"representing":[85],"individuals":[86],"in":[87,100,188],"population.":[89],"The":[90,110,173],"non-dominated":[91],"sorting":[92],"method":[93],"distance":[96],"metric":[97],"are":[98],"employed":[99],"evolutionary":[102],"process":[103],"select":[105],"high-quality":[106,122,192],"as":[108],"teachers.":[109],"teachers":[111],"use":[112],"gradient-based":[113],"genetic":[114],"operators":[115],"guide":[117],"population":[119],"produce":[121],"offspring,":[123],"thereby":[124],"achieving":[125],"Pareto":[127,149,162,193],"solutions.":[129,195],"Furthermore,":[130],"we":[131],"introduce":[132],"three":[133,178],"benchmarks":[135,180],"distinct":[137],"characteristics:":[138],"(1)":[139],"continuous":[141],"sea":[143],"treasure":[144],"convex":[146],"nonconvex":[148],"fronts;":[150],"(2)":[151],"mountain":[154],"car":[155],"sparse":[157],"rewards":[158],"discontinuous":[161],"front;":[163],"(3)":[165],"HalfCheetah":[168],"high-dimensional":[170],"action-state":[171],"spaces.":[172],"experimental":[174],"results":[175],"demonstrate":[181],"superiority":[183],"of":[184],"proposed":[186],"algorithm":[187],"obtaining":[189]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4388980174","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-04-22T11:21:39.098833","created_date":"2023-11-25"}