{"id":"https://openalex.org/W4310896104","doi":"https://doi.org/10.1145/3550082.3564207","title":"AIP: Adversarial Interaction Priors for Multi-Agent Physics-based Character Control","display_name":"AIP: Adversarial Interaction Priors for Multi-Agent Physics-based Character Control","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4310896104","doi":"https://doi.org/10.1145/3550082.3564207"},"language":"en","primary_location":{"id":"doi:10.1145/3550082.3564207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550082.3564207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Posters","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03888489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038904252","display_name":"Mohamed Younes","orcid":"https://orcid.org/0000-0002-4831-3343"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Younes","raw_affiliation_strings":["IRISA, Inria Rennes, France","Analysis-Synthesis Approach for Virtual Human Simulation"],"raw_orcid":"https://orcid.org/0000-0002-4831-3343","affiliations":[{"raw_affiliation_string":"IRISA, Inria Rennes, France","institution_ids":["https://openalex.org/I2802519937"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057169414","display_name":"Ewa Kijak","orcid":"https://orcid.org/0000-0003-0232-1097"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ewa Kijak","raw_affiliation_strings":["Universit\u00e9 de Rennes 1, France","Creating and exploiting explicit links between multimedia fragments"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Creating and exploiting explicit links between multimedia fragments","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010195449","display_name":"Simon Malinowski","orcid":"https://orcid.org/0000-0002-9663-562X"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Simon Malinowski","raw_affiliation_strings":["Universit\u00e9 de Rennes 1, France","Creating and exploiting explicit links between multimedia fragments"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Rennes 1, France","institution_ids":["https://openalex.org/I56067802"]},{"raw_affiliation_string":"Creating and exploiting explicit links between multimedia fragments","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017842255","display_name":"Richard Kulpa","orcid":"https://orcid.org/0000-0002-1863-8921"},"institutions":[{"id":"https://openalex.org/I3124938446","display_name":"Universit\u00e9 Rennes 2","ror":"https://ror.org/01m84wm78","country_code":"FR","type":"education","lineage":["https://openalex.org/I3124938446"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Richard Kulpa","raw_affiliation_strings":["Universit\u00e9 de Rennes 2, France","Analysis-Synthesis Approach for Virtual Human Simulation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Rennes 2, France","institution_ids":["https://openalex.org/I3124938446","https://openalex.org/I56067802"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080141350","display_name":"Franck Multon","orcid":"https://orcid.org/0000-0003-2690-0077"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franck Multon","raw_affiliation_strings":["IRISA, Inria Rennes, France","Analysis-Synthesis Approach for Virtual Human Simulation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Inria Rennes, France","institution_ids":["https://openalex.org/I2802519937"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9794999957084656,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9794999957084656,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.944100022315979,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7368099093437195},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7362650632858276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099097967147827},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7056491374969482},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.637607216835022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6097901463508606},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6015880703926086},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5730998516082764},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.5583314299583435},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5206531882286072},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49015650153160095},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.45711565017700195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11343371868133545}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7368099093437195},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7362650632858276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099097967147827},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7056491374969482},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.637607216835022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6097901463508606},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6015880703926086},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5730998516082764},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.5583314299583435},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5206531882286072},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49015650153160095},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.45711565017700195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11343371868133545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3550082.3564207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550082.3564207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2022 Posters","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03888489v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03888489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGGRAPH Asia 2022 - 15th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03888489v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03888489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIGGRAPH Asia 2022 - 15th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G6236213031","display_name":"Digital Sports Sciences","funder_award_id":"ANR-18-EURE-0022","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6876561401","display_name":null,"funder_award_id":"ANR-18","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3147968035","https://openalex.org/W3181074849","https://openalex.org/W4286748781"],"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/W2995777218"],"abstract_inverted_index":{"We":[0,18],"address":[1],"the":[2,56,112,121,140,143,153,159],"problem":[3],"of":[4,50,58,61,142,155,162],"controlling":[5],"and":[6,90,117,127],"simulating":[7],"interactions":[8],"between":[9,68,114,164],"multiple":[10,69],"physics-based":[11],"characters,":[12],"using":[13],"short":[14,86],"unlabeled":[15],"motion":[16,59,88,103,123],"clips.":[17,104,124],"propose":[19],"Adversarial":[20],"Interaction":[21],"Priors":[22],"(AIP),":[23],"a":[24,62,74,92,132],"multi-agents":[25],"generative":[26],"adversarial":[27,134],"imitation":[28,60,67],"learning":[29,37,136],"(MAGAIL)":[30],"approach,":[31],"which":[32,97],"extends":[33],"recent":[34],"deep":[35],"reinforcement":[36,135],"(RL)":[38],"works":[39],"aiming":[40],"at":[41],"imitating":[42],"single":[43,63],"character":[44,64,79],"example":[45,87],"motions.":[46],"The":[47,105,125,149],"main":[48],"contribution":[49],"this":[51],"work":[52],"is":[53,98],"to":[54,65,80,138],"extend":[55],"idea":[57],"interaction":[66,108],"characters.":[70],"Our":[71],"method":[72,157],"uses":[73],"control":[75],"policy":[76],"for":[77,94],"each":[78,95,147],"imitate":[81],"interactive":[82,102,160],"behaviors":[83,116,144],"provided":[84],"by":[85,146],"clips,":[89],"associates":[91],"discriminator":[93,106],"character,":[96],"trained":[99,130],"on":[100,158],"actor-specific":[101],"returns":[107],"rewards":[109],"that":[110],"measure":[111],"similarity":[113],"generated":[115,145],"demonstrated":[118],"ones":[119],"in":[120,131],"reference":[122],"policies":[126],"discriminators":[128],"are":[129],"multi-agent":[133],"procedure,":[137],"improve":[139],"quality":[141],"agent.":[148],"initial":[150],"results":[151],"show":[152],"effectiveness":[154],"our":[156],"task":[161],"shadowboxing":[163],"two":[165],"fighters.":[166]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
