{"id":"https://openalex.org/W4395022606","doi":"https://doi.org/10.48550/arxiv.2404.12917","title":"R3L: Relative Representations for Reinforcement Learning","display_name":"R3L: Relative Representations for Reinforcement Learning","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4395022606","doi":"https://doi.org/10.48550/arxiv.2404.12917"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2404.12917","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.12917","pdf_url":"https://arxiv.org/pdf/2404.12917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.12917","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103001564","display_name":"Antonio Ricciardi","orcid":"https://orcid.org/0009-0001-7461-051X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ricciardi, Antonio Pio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013895434","display_name":"Valentino Maiorca","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maiorca, Valentino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032554561","display_name":"Luca Moschella","orcid":"https://orcid.org/0000-0002-0550-7498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moschella, Luca","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071591949","display_name":"Riccardo Marin","orcid":"https://orcid.org/0000-0003-2392-4612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marin, Riccardo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087051832","display_name":"Emanuele Rodol\u00e0","orcid":"https://orcid.org/0000-0003-0091-7241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodol\u00e0, Emanuele","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103001564"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9211000204086304,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9039000272750854,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/image-stitching","display_name":"Image stitching","score":0.8539175987243652},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.7708678245544434},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6519043445587158},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6336097717285156},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5832731127738953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.435281366109848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3711279630661011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3358733355998993},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14832854270935059},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.14034292101860046},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1265527307987213}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.8539175987243652},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.7708678245544434},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6519043445587158},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6336097717285156},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5832731127738953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.435281366109848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3711279630661011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3358733355998993},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14832854270935059},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.14034292101860046},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1265527307987213},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2404.12917","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.12917","pdf_url":"https://arxiv.org/pdf/2404.12917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2404.12917","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.12917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.12917","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.12917","pdf_url":"https://arxiv.org/pdf/2404.12917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4395022606.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W68020613","https://openalex.org/W2091466534","https://openalex.org/W4255291540","https://openalex.org/W3134240150","https://openalex.org/W4392793652","https://openalex.org/W4387591196","https://openalex.org/W172825421","https://openalex.org/W2944699522","https://openalex.org/W1982521527","https://openalex.org/W3156165453"],"abstract_inverted_index":{"Visual":[0,106],"Reinforcement":[1,107],"Learning":[2,16,108],"is":[3,19],"a":[4,43,79,90,97],"popular":[5],"and":[6,148],"powerful":[7],"framework":[8,91,103],"that":[9,21,92],"takes":[10],"full":[11],"advantage":[12],"of":[13,42,60,67,120],"the":[14,39,58,65,105,133,140,146],"Deep":[15],"breakthrough.":[17],"It":[18],"known":[20],"variations":[22],"in":[23,57,78],"input":[24],"domains":[25,36],"(e.g.,":[26,37],"different":[27,71],"panorama":[28],"colors":[29],"due":[30],"to":[31,74,96,104,111,115],"seasonal":[32],"changes)":[33],"or":[34],"task":[35],"altering":[38],"target":[40],"speed":[41],"car)":[44],"can":[45],"disrupt":[46],"agent":[47],"performance,":[48],"necessitating":[49],"new":[50,76,117],"training":[51],"for":[52,135,142],"each":[53],"variation.":[54],"Recent":[55],"advancements":[56],"field":[59],"representation":[61],"learning":[62],"have":[63],"demonstrated":[64],"possibility":[66],"combining":[68],"components":[69,114],"from":[70],"neural":[72],"networks":[73],"create":[75,116],"models":[77],"zero-shot":[80],"fashion.":[81],"In":[82],"this":[83,102],"paper,":[84],"we":[85],"build":[86],"upon":[87],"relative":[88],"representations,":[89],"maps":[93],"encoder":[94],"embeddings":[95],"universal":[98],"space.":[99],"We":[100],"adapt":[101],"setting,":[109],"allowing":[110],"combine":[112],"agents":[113,118],"capable":[119],"effectively":[121],"handling":[122],"novel":[123],"visual-task":[124],"pairs":[125],"not":[126],"encountered":[127],"during":[128],"training.":[129],"Our":[130],"findings":[131],"highlight":[132],"potential":[134],"model":[136],"reuse,":[137],"significantly":[138],"reducing":[139],"need":[141],"retraining":[143],"and,":[144],"consequently,":[145],"time":[147],"computational":[149],"resources":[150],"required.":[151]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2024-04-23T00:00:00"}