{"id":"https://openalex.org/W4403488295","doi":"https://doi.org/10.3233/faia240660","title":"Explorative Imitation Learning: A Path Signature Approach for Continuous Environments","display_name":"Explorative Imitation Learning: A Path Signature Approach for Continuous Environments","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488295","doi":"https://doi.org/10.3233/faia240660"},"language":"en","primary_location":{"id":"doi:10.3233/faia240660","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240660","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia240660","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048474971","display_name":"Nathan Gavenski","orcid":"https://orcid.org/0000-0003-0578-3086"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nathan Gavenski","raw_affiliation_strings":["King\u2019s College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King\u2019s College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101813552","display_name":"Juarez Monteiro","orcid":"https://orcid.org/0000-0002-8831-5343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juarez Monteiro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073632183","display_name":"Felipe Meneguzzi","orcid":"https://orcid.org/0000-0003-3549-6168"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]},{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR","GB"],"is_corresponding":false,"raw_author_name":"Felipe Meneguzzi","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do RS, Porto Alegre, Brazil","University of Aberdeen, Aberdeen, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do RS, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I45643870"]},{"raw_affiliation_string":"University of Aberdeen, Aberdeen, United Kingdom","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069481846","display_name":"G. Flucke","orcid":"https://orcid.org/0000-0002-0926-2061"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Luck","raw_affiliation_strings":["University of Sussex, Sussex, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sussex, Sussex, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053023440","display_name":"Odinaldo Rodrigues","orcid":"https://orcid.org/0000-0001-7823-1034"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Odinaldo Rodrigues","raw_affiliation_strings":["King\u2019s College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King\u2019s College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48226545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9894999861717224,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9894999861717224,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9819999933242798,"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/T12290","display_name":"Human Motion and Animation","score":0.9681000113487244,"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/imitation","display_name":"Imitation","score":0.7992150187492371},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6898006796836853},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5855280160903931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.533656656742096},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3716632127761841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35627955198287964},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28529202938079834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1587488055229187},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07387745380401611},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06345903873443604},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05810561776161194}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.7992150187492371},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6898006796836853},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5855280160903931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.533656656742096},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3716632127761841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35627955198287964},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28529202938079834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1587488055229187},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07387745380401611},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06345903873443604},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05810561776161194}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia240660","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240660","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:aura.abdn.ac.uk:2164/24974","is_oa":false,"landing_page_url":"https://hdl.handle.net/2164/24974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400966","display_name":"Aberdeen University Research Archive (Aberdeen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195460627","host_organization_name":"University of Aberdeen","host_organization_lineage":["https://openalex.org/I195460627"],"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":"Conference item"}],"best_oa_location":{"id":"doi:10.3233/faia240660","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240660","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2665305151"],"abstract_inverted_index":{"Some":[0],"imitation":[1,57,111],"learning":[2,58,112],"methods":[3,113,125],"combine":[4],"behavioural":[5],"cloning":[6],"with":[7,59,105],"self-supervision":[8],"to":[9,25,31],"infer":[10],"actions":[11],"from":[12,50],"state":[13,69],"pairs.":[14],"However,":[15],"most":[16],"rely":[17],"on":[18],"a":[19,53,106],"large":[20],"number":[21],"of":[22,35,89,94,97,123,134],"expert":[23,73,100,131],"trajectories":[24,74],"increase":[26],"generalisation":[27],"and":[28,75,81,99,108],"human":[29],"intervention":[30],"capture":[32],"key":[33],"aspects":[34],"the":[36,92,119,130],"problem,":[37],"such":[38],"as":[39],"domain":[40],"constraints.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"Continuous":[47],"Imitation":[48],"Learning":[49],"Observation":[51],"(CILO),":[52],"new":[54],"method":[55],"augmenting":[56],"two":[60,109,133],"important":[61],"features:":[62],"(i)":[63],"exploration,":[64],"allowing":[65,85],"for":[66,86],"more":[67],"diverse":[68],"transitions,":[70],"requiring":[71],"less":[72],"resulting":[76],"in":[77,114,126,132],"fewer":[78],"training":[79],"iterations;":[80],"(ii)":[82],"path":[83],"signatures,":[84],"automatic":[87],"encoding":[88],"constraints,":[90],"through":[91],"creation":[93],"non-parametric":[95],"representations":[96],"agents":[98],"trajectories.":[101],"We":[102],"compared":[103],"CILO":[104],"baseline":[107],"leading":[110],"five":[115],"environments.":[116],"It":[117],"had":[118],"best":[120],"overall":[121],"performance":[122],"all":[124,127],"environments,":[128],"outperforming":[129],"them.":[135]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
