{"id":"https://openalex.org/W86302728","doi":null,"title":"Evolving Static Representations for Task Transfer","display_name":"Evolving Static Representations for Task Transfer","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W86302728","mag":"86302728"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.365.4702","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eplex.cs.ucf.edu/papers/verbancsics_jmlr10a.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/facultybib2010/900","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014477387","display_name":"Phillip Verbancsics","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phillip Verbancsics","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029264794","display_name":"Kenneth Owen Stanley","orcid":"https://orcid.org/0000-0003-4503-0839","observed_orcids":["https://orcid.org/0000-0003-4503-0839"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenneth O. Stanley","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4503-0839","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4364,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.95467178,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"11","issue":"58","first_page":"1737","last_page":"1769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.8300999999046326,"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":0.8300999999046326,"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":0.11169999837875366,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.020899999886751175,"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/task-transfer","display_name":"task transfer","score":0.8199999928474426},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"knowledge transfer","score":0.7480000257492065},{"id":"https://openalex.org/keywords/bird-s-eye-view-representation","display_name":"bird's-eye-view representation","score":0.9229999780654907},{"id":"https://openalex.org/keywords/indirect-encoding","display_name":"indirect encoding","score":0.9179999828338623},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"evolutionary computation","score":0.49900001287460327},{"id":"https://openalex.org/keywords/representation-compression","display_name":"representation compression","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7957109808921814},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7630776166915894},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6934258937835693},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.666152834892273},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6540672183036804},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5830267071723938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5788048505783081},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5162829756736755},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4321237802505493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3550589382648468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08801466226577759},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.365.4702","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.4702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eplex.cs.ucf.edu/papers/verbancsics_jmlr10a.pdf","raw_type":"text"},{"id":"pmh:oai:stars.library.ucf.edu:facultybib2010-1899","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/facultybib2010/900","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Bibliography 2010s","raw_type":"text"},{"id":"mag:86302728","doi":null,"is_oa":false,"landing_page_url":"https://www.jmlr.org/papers/volume11/verbancsics10a/verbancsics10a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-a","cwts-core","dongbi-a","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718","https://openalex.org/P4310316440"],"host_organization_lineage_names":["The MIT Press","Massachusetts Institute of Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:facultybib2010-1899","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/facultybib2010/900","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Bibliography 2010s","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W203338875","https://openalex.org/W204818622","https://openalex.org/W298987871","https://openalex.org/W1499017198","https://openalex.org/W1515851193","https://openalex.org/W1519534184","https://openalex.org/W1530089576","https://openalex.org/W1533597678","https://openalex.org/W1548589545","https://openalex.org/W1580572138","https://openalex.org/W1604789200","https://openalex.org/W1891969860","https://openalex.org/W1980661496","https://openalex.org/W1994434056","https://openalex.org/W2008085228","https://openalex.org/W2010464579","https://openalex.org/W2011171037","https://openalex.org/W2020399841","https://openalex.org/W2050870241","https://openalex.org/W2075874755","https://openalex.org/W2083298149","https://openalex.org/W2089052147","https://openalex.org/W2100677568","https://openalex.org/W2101355568","https://openalex.org/W2103047651","https://openalex.org/W2103626435","https://openalex.org/W2104641222","https://openalex.org/W2111935653","https://openalex.org/W2112413846","https://openalex.org/W2117130368","https://openalex.org/W2118686331","https://openalex.org/W2119053738","https://openalex.org/W2119458897","https://openalex.org/W2119567691","https://openalex.org/W2119814172","https://openalex.org/W2121441589","https://openalex.org/W2121863487","https://openalex.org/W2124175081","https://openalex.org/W2124290836","https://openalex.org/W2133040789","https://openalex.org/W2138321920","https://openalex.org/W2138784882","https://openalex.org/W2140685838","https://openalex.org/W2141754131","https://openalex.org/W2141860972","https://openalex.org/W2147147005","https://openalex.org/W2147339007","https://openalex.org/W2154328025","https://openalex.org/W2155791599","https://openalex.org/W2160644528","https://openalex.org/W2161808137","https://openalex.org/W2164114810","https://openalex.org/W2165698076","https://openalex.org/W2169659168","https://openalex.org/W2169803171","https://openalex.org/W2396715201","https://openalex.org/W2398715346","https://openalex.org/W2521075165","https://openalex.org/W2913340405","https://openalex.org/W3020831056","https://openalex.org/W3126109591","https://openalex.org/W3139377883","https://openalex.org/W7124152451"],"related_works":["https://openalex.org/W2613635663","https://openalex.org/W2138383010","https://openalex.org/W2098723043","https://openalex.org/W2096765839","https://openalex.org/W2349538550","https://openalex.org/W2848894308","https://openalex.org/W7095284938","https://openalex.org/W2903077804","https://openalex.org/W2099667751","https://openalex.org/W3211301887"],"abstract_inverted_index":{"An":[0],"important":[1],"goal":[2],"for":[3],"machine":[4],"learning":[5,14,22,167],"is":[6,56,62,82,117,123,133,155],"to":[7,15,21,31,42,64],"transfer":[8,32,55],"knowledge":[9,174],"between":[10],"tasks.":[11,71],"For":[12,94],"example,":[13,95],"play":[16],"RoboCup":[17,27],"Keepaway":[18,34,105,161],"should":[19],"contribute":[20],"the":[23,39,44,52,60,66,90,97,111,115,147,157,185,189,200],"full":[24],"game":[25],"of":[26,188,208],"soccer.":[28],"Previous":[29],"approaches":[30],"in":[33,176],"have":[35],"focused":[36],"on":[37,89,110],"transforming":[38],"original":[40],"representation":[41,61,81,148],"fit":[43],"new":[45],"task.":[46],"In":[47],"contrast,":[48],"this":[49,74,131],"paper":[50,128],"explores":[51],"idea":[53,138],"that":[54,84,118,156,163,192],"most":[57],"effective":[58],"if":[59],"designed":[63],"be":[65,108,196],"same":[67,91,112],"even":[68],"across":[69],"different":[70,87,178],"To":[72],"demonstrate":[73],"point,":[75],"a":[76,119,160,177],"bird's":[77],"eye":[78],"view":[79],"(BEV)":[80],"introduced":[83],"can":[85,107,195],"represent":[86],"tasks":[88,106],"two-dimensional":[92,121],"map.":[93],"both":[96],"3":[98,104],"vs.":[99,103],"2":[100],"and":[101,125],"4":[102],"represented":[109],"BEV.":[113],"Yet":[114],"problem":[116,132],"raw":[120],"map":[122],"high-dimensional":[124],"unstructured.":[126],"This":[127],"shows":[129],"how":[130],"addressed":[134],"naturally":[135],"by":[136,149],"an":[137],"from":[139],"evolutionary":[140],"computation":[141],"called":[142],"indirect":[143,186],"encoding,":[144],"which":[145],"compresses":[146],"exploiting":[150],"its":[151,193],"geometry.":[152],"The":[153],"result":[154],"BEV":[158,190],"learns":[159],"policy":[162],"transfers":[164],"without":[165,198],"further":[166],"or":[168],"manipulation.":[169],"It":[170],"also":[171],"facilitates":[172],"transferring":[173],"learned":[175],"domain,":[179],"Knight":[180],"Joust,":[181],"into":[182],"Keepaway.":[183],"Finally,":[184],"encoding":[187],"means":[191],"geometry":[194],"changed":[197],"altering":[199],"solution.":[201],"Thus":[202],"static":[203],"representations":[204],"facilitate":[205],"several":[206],"kinds":[207],"transfer.":[209]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
