{"id":"https://openalex.org/W3021933818","doi":"https://doi.org/10.1145/3377930.3390181","title":"Learning behaviour-performance maps with meta-evolution","display_name":"Learning behaviour-performance maps with meta-evolution","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3021933818","doi":"https://doi.org/10.1145/3377930.3390181","mag":"3021933818"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3390181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011218628","display_name":"David M. Bossens","orcid":"https://orcid.org/0000-0003-1924-5756"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David M. Bossens","raw_affiliation_strings":["University of Southampton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032227198","display_name":"Jean-Baptiste Mouret","orcid":"https://orcid.org/0000-0002-2513-027X"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Mouret","raw_affiliation_strings":["Universit\u00e9 de Lorraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine","institution_ids":["https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046917969","display_name":"Danesh Tarapore","orcid":"https://orcid.org/0000-0002-3226-6861"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danesh Tarapore","raw_affiliation_strings":["University of Southampton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9993000030517578,"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":0.9993000030517578,"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/T10879","display_name":"Robotic Locomotion and Control","score":0.9991999864578247,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/cma-es","display_name":"CMA-ES","score":0.7638816833496094},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.7211157083511353},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7146965265274048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724623441696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6206480860710144},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5624461770057678},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5519831776618958},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.549945592880249},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5428412556648254},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4644121825695038},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46107175946235657},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.4595457911491394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4393383264541626},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.37750324606895447},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.21515551209449768},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2069535255432129},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14404040575027466}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.7638816833496094},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.7211157083511353},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7146965265274048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724623441696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6206480860710144},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5624461770057678},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5519831776618958},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.549945592880249},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5428412556648254},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4644121825695038},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46107175946235657},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.4595457911491394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4393383264541626},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.37750324606895447},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.21515551209449768},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2069535255432129},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14404040575027466},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3377930.3390181","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:441277","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/441277/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3758801431","display_name":null,"funder_award_id":"EP/R030073/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6373853840","display_name":"Rapid fault-recovery strategies for resilient robot swarms","funder_award_id":"EP/R030073/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7676265248","display_name":null,"funder_award_id":"GA no. 637972, project Resibots","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1480880155","https://openalex.org/W1625417988","https://openalex.org/W1738827650","https://openalex.org/W1822001265","https://openalex.org/W1974150877","https://openalex.org/W1978813754","https://openalex.org/W1980897244","https://openalex.org/W1996818689","https://openalex.org/W2071853141","https://openalex.org/W2101677491","https://openalex.org/W2151083897","https://openalex.org/W2168924884","https://openalex.org/W2345072837","https://openalex.org/W2462548332","https://openalex.org/W2473761223","https://openalex.org/W2534225927","https://openalex.org/W2739858255","https://openalex.org/W2793955514","https://openalex.org/W2797471289","https://openalex.org/W2798384337","https://openalex.org/W2947246097","https://openalex.org/W2955385686","https://openalex.org/W2962878123","https://openalex.org/W2963930274","https://openalex.org/W3001500946","https://openalex.org/W3098727992","https://openalex.org/W3098960920","https://openalex.org/W3104601631"],"related_works":["https://openalex.org/W1579744901","https://openalex.org/W1492325323","https://openalex.org/W2510724351","https://openalex.org/W3087341323","https://openalex.org/W2465356436","https://openalex.org/W2552260697","https://openalex.org/W2592891920","https://openalex.org/W2168924884","https://openalex.org/W2508241630","https://openalex.org/W2740728066"],"abstract_inverted_index":{"The":[0,107,131],"MAP-Elites":[1,137,177],"quality-diversity":[2],"algorithm":[3,97],"has":[4],"been":[5],"successful":[6],"in":[7,47,138],"robotics":[8],"because":[9],"it":[10,51,163],"can":[11,21],"create":[12],"a":[13,63,82,88,94,118,125,139,166],"behaviorally":[14],"diverse":[15],"set":[16,64],"of":[17,35,45,55,65,73,120,158,168],"solutions":[18,134],"that":[19,98,103,128,184],"later":[20],"be":[22],"used":[23],"for":[24,26,41],"adaptation,":[25,42],"instance":[27],"to":[28,61,116,123,143,165,176,196],"unanticipated":[29],"damages.":[30],"In":[31],"MAP-Elites,":[32],"the":[33,36,43,53,56,70,77,156,159,185,197],"choice":[34],"behaviour":[37,180],"space":[38,72],"is":[39,60],"essential":[40],"recovery":[44],"performance":[46],"unseen":[48],"environments,":[49],"since":[50],"defines":[52],"diversity":[54],"solutions.":[57],"Current":[58],"practice":[59],"hand-code":[62],"behavioural":[66,85,101],"features,":[67],"however,":[68],"given":[69],"large":[71],"possible":[74],"behaviour-performance":[75,121,147],"maps,":[76],"designer":[78],"does":[79],"not":[80],"know":[81],"priori":[83],"which":[84,141],"features":[86,102],"maximise":[87,104,124],"map's":[89],"adaptation":[90],"potential.":[91],"We":[92],"introduce":[93],"new":[95,146],"meta-evolution":[96,186],"discovers":[99],"those":[100],"future":[105],"adaptations.":[106],"proposed":[108],"method":[109,132],"applies":[110],"Covariance":[111],"Matrix":[112],"Adaptation":[113],"Evolution":[114],"Strategy":[115],"evolve":[117],"population":[119],"maps":[122,148],"meta-fitness":[126],"function":[127],"rewards":[129],"adaptation.":[130],"stores":[133],"found":[135],"by":[136],"database":[140],"allows":[142],"rapidly":[144],"construct":[145],"on-the-fly.":[149],"To":[150],"evaluate":[151],"this":[152],"system,":[153],"we":[154,182],"study":[155],"gait":[157],"RHex":[160],"robot":[161],"as":[162],"adapts":[164],"range":[167],"damages":[169,194],"sustained":[170],"on":[171],"its":[172],"legs.":[173],"When":[174],"compared":[175],"with":[178,191],"user-defined":[179],"spaces,":[181],"demonstrate":[183],"system":[187],"learns":[188],"high-performing":[189],"gaits":[190],"or":[192],"without":[193],"injected":[195],"robot.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
