{"id":"https://openalex.org/W4401214099","doi":"https://doi.org/10.1145/3638530.3654351","title":"Redefining the Behavior Space for Multi-Objective MAP-Elites","display_name":"Redefining the Behavior Space for Multi-Objective MAP-Elites","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401214099","doi":"https://doi.org/10.1145/3638530.3654351"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3654351","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654351","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5049730137","display_name":"Anna Nickelson","orcid":"https://orcid.org/0009-0002-8664-4116"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anna Nickelson","raw_affiliation_strings":["Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, United States of America"],"affiliations":[{"raw_affiliation_string":"Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, United States of America","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084748531","display_name":"Kagan Tumer","orcid":"https://orcid.org/0009-0007-3809-7257"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kagan Tumer","raw_affiliation_strings":["Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, United States of America"],"affiliations":[{"raw_affiliation_string":"Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, United States of America","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049730137"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11566772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9311000108718872,"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":0.9311000108718872,"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/T11031","display_name":"Game Theory and Applications","score":0.9136999845504761,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6655635833740234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5631496906280518}],"concepts":[{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6655635833740234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5631496906280518},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638530.3654351","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654351","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3611504697","display_name":null,"funder_award_id":"IIS-2112633","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":6,"referenced_works":["https://openalex.org/W1974150877","https://openalex.org/W2342068300","https://openalex.org/W2462548332","https://openalex.org/W4225709924","https://openalex.org/W4287266177","https://openalex.org/W6950609307"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Autonomous":[0],"agents":[1],"are":[2,73,124],"increasingly":[3],"deployed":[4],"in":[5,55,118,143],"complex":[6],"real-world":[7],"environments":[8],"where":[9],"they":[10],"must":[11],"balance":[12],"multiple":[13,50],"goals":[14],"and":[15,45,109,115],"adapt":[16],"to":[17,25,94,164],"novel":[18],"scenarios.":[19],"Unfortunately,":[20],"learning":[21,108],"on":[22,77],"the":[23,96,101,104,113,133,152,159],"fly":[24],"handle":[26],"new":[27],"situations":[28],"can":[29,155],"produce":[30],"dangerous":[31],"or":[32],"unstable":[33],"policies.":[34],"Creating":[35],"a":[36,68,78,87],"diverse":[37,85],"set":[38,79,88],"of":[39,70,80,89,103,132,158],"pre-trained":[40],"policies":[41,48,71],"overcomes":[42],"this":[43,63],"problem,":[44],"evolving":[46],"those":[47],"using":[49],"objectives":[51,81],"increases":[52],"their":[53],"applicability":[54],"many":[56],"domains.":[57],"Multi-Objective":[58],"Map":[59],"Elites":[60],"(MOME)":[61],"addresses":[62],"issue":[64],"by":[65,162],"searching":[66],"for":[67,135,140],"population":[69],"that":[72,106,137,150],"both":[74],"high":[75],"performing":[76],"as":[82,84,95],"well":[83],"across":[86,112],"defined":[90],"behavior":[91,114,153],"metrics,":[92],"referred":[93],"Behavior":[97],"Descriptor":[98],"(BD).":[99],"However,":[100],"characteristics":[102],"BD":[105,134],"enhance":[107],"improve":[110,138,156],"search":[111,139],"multiobjective":[116],"spaces":[117],"an":[119],"Reinforcement":[120],"Learning":[121],"(RL)":[122],"setting":[123],"still":[125],"relatively":[126],"unknown.":[127],"This":[128],"work":[129],"investigates":[130],"qualities":[131],"MOME":[136],"good":[141],"policies,":[142],"turn,":[144],"enabling":[145],"better":[146],"decision-making.":[147],"We":[148],"show":[149],"redefining":[151],"space":[154,161],"coverage":[157],"multi-objective":[160],"up":[163],"36%.":[165]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}