{"id":"https://openalex.org/W4327525497","doi":"https://doi.org/10.48550/arxiv.2303.07846","title":"Sample-efficient Adversarial Imitation Learning","display_name":"Sample-efficient Adversarial Imitation Learning","publication_year":2023,"publication_date":"2023-03-14","ids":{"openalex":"https://openalex.org/W4327525497","doi":"https://doi.org/10.48550/arxiv.2303.07846"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2303.07846","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07846","pdf_url":"https://arxiv.org/pdf/2303.07846","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.07846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010990289","display_name":"Dahuin Jung","orcid":"https://orcid.org/0000-0002-1344-1054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jung, Dahuin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822790","display_name":"Hyungyu Lee","orcid":"https://orcid.org/0000-0003-4914-1683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Hyungyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086877012","display_name":"Sungroh Yoon","orcid":"https://orcid.org/0000-0002-2367-197X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon, Sungroh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9897000193595886,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9897000193595886,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9868999719619751,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.7202552556991577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6849725842475891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6676760315895081},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6186782717704773},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5949015617370605},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5793920159339905},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5791831016540527},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5315012335777283},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5283927321434021},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5077069997787476},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.4216318130493164},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4174201488494873},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07592150568962097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202552556991577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6849725842475891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6676760315895081},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6186782717704773},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5949015617370605},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5793920159339905},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5791831016540527},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5315012335777283},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5283927321434021},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5077069997787476},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.4216318130493164},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4174201488494873},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07592150568962097},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2303.07846","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07846","pdf_url":"https://arxiv.org/pdf/2303.07846","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2303.07846","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2303.07846","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.07846","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.07846","pdf_url":"https://arxiv.org/pdf/2303.07846","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1022178540","display_name":null,"funder_award_id":"2022-0-00959","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G1152552616","display_name":null,"funder_award_id":"2021\u20130-01343","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G1251031942","display_name":null,"funder_award_id":"BK 21 four","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2410790484","display_name":null,"funder_award_id":"2022-0-00959","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G30685149","display_name":null,"funder_award_id":"BK21 FOUR","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5065061179","display_name":null,"funder_award_id":"2021-0-01343","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5635159257","display_name":null,"funder_award_id":"2021-0-01343","funder_id":"https://openalex.org/F4320321292","funder_display_name":"Seoul National University"},{"id":"https://openalex.org/G7092917899","display_name":null,"funder_award_id":"2022R1A3B1077720","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W2005482365","https://openalex.org/W2908248196","https://openalex.org/W2137184539","https://openalex.org/W4226190226","https://openalex.org/W2560283428","https://openalex.org/W2951706337","https://openalex.org/W2515319207","https://openalex.org/W4308565060","https://openalex.org/W4224292393"],"abstract_inverted_index":{"Imitation":[0],"learning,":[1,50],"in":[2,18,94,159],"which":[3,19,51],"learning":[4,28,71,99,155],"is":[5,23,116],"performed":[6],"by":[7],"demonstration,":[8],"has":[9],"been":[10],"studied":[11],"and":[12,76,85,112,123,173],"advanced":[13],"for":[14,101,110],"sequential":[15],"decision-making":[16],"tasks":[17],"a":[20,66,106,147,160,185],"reward":[21],"function":[22],"not":[24],"predefined.":[25],"However,":[26],"imitation":[27,70,141,154],"methods":[29,100,156],"still":[30],"require":[31],"numerous":[32],"expert":[33,165],"demonstration":[34],"samples":[35],"to":[36,73,82,118,163,181],"successfully":[37],"imitate":[38],"an":[39,128],"expert's":[40],"behavior.":[41],"To":[42],"improve":[43],"sample":[44,134],"efficiency,":[45],"we":[46,64,104,169],"utilize":[47],"self-supervised":[48,67,98],"representation":[49],"can":[52],"generate":[53],"vast":[54],"training":[55],"signals":[56],"from":[57],"the":[58,138],"given":[59],"data.":[60],"In":[61,92],"this":[62],"study,":[63],"propose":[65,105],"representation-based":[68],"adversarial":[69,153],"method":[72,109,145],"learn":[74],"state":[75,111],"action":[77,113],"representations":[78,114],"that":[79,115,126],"are":[80],"robust":[81,117],"diverse":[83,119],"distortions":[84],"temporally":[86],"predictive,":[87],"on":[88,157],"non-image":[89],"control":[90],"tasks.":[91],"particular,":[93],"comparison":[95],"with":[96,132,178],"existing":[97,152],"tabular":[102],"data,":[103],"different":[107],"corruption":[108],"distortions.":[120],"We":[121],"theoretically":[122],"empirically":[124],"observe":[125],"making":[127],"informative":[129],"feature":[130],"manifold":[131],"less":[133],"complexity":[135],"significantly":[136],"improves":[137],"performance":[139],"of":[140,187],"learning.":[142],"The":[143],"proposed":[144],"shows":[146],"39%":[148],"relative":[149],"improvement":[150],"over":[151],"MuJoCo":[158],"setting":[161],"limited":[162],"100":[164],"state-action":[166],"pairs.":[167],"Moreover,":[168],"conduct":[170],"comprehensive":[171],"ablations":[172],"additional":[174],"experiments":[175],"using":[176],"demonstrations":[177],"varying":[179],"optimality":[180],"provide":[182],"insights":[183],"into":[184],"range":[186],"factors.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}