{"id":"https://openalex.org/W3194814913","doi":"https://doi.org/10.1109/lra.2021.3104334","title":"Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory","display_name":"Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3194814913","doi":"https://doi.org/10.1109/lra.2021.3104334","mag":"3194814913"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3104334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3104334","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103067340","display_name":"Hengbo Ma","orcid":"https://orcid.org/0000-0002-7433-3516"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengbo Ma","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","Honda Research Institute, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-7433-3516","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Honda Research Institute, San Jose, California, USA","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100862154","display_name":"Yaofeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaofeng Sun","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357070","display_name":"Jiachen Li","orcid":"https://orcid.org/0000-0002-4883-697X"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiachen Li","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","Honda Research Institute, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-4883-697X","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Honda Research Institute, San Jose, California, USA","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064077634","display_name":"Masayoshi Tomizuka","orcid":"https://orcid.org/0000-0003-0206-6639"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Masayoshi Tomizuka","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0206-6639","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027421783","display_name":"Chiho Choi","orcid":"https://orcid.org/0000-0002-0196-2039"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiho Choi","raw_affiliation_strings":["Honda Research Institute, San Jose, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-0196-2039","affiliations":[{"raw_affiliation_string":"Honda Research Institute, San Jose, California, USA","institution_ids":["https://openalex.org/I4210145184"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5435,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.90647188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":"4","first_page":"8410","last_page":"8417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958999752998352,"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/forgetting","display_name":"Forgetting","score":0.8792279958724976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754055380821228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7037968039512634},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6565548181533813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6271706223487854},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4907182455062866},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46485885977745056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41960591077804565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09771069884300232}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8792279958724976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754055380821228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7037968039512634},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6565548181533813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6271706223487854},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4907182455062866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46485885977745056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41960591077804565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09771069884300232},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2021.3104334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3104334","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2424778531","https://openalex.org/W2607296803","https://openalex.org/W2734314755","https://openalex.org/W2739770424","https://openalex.org/W2787337315","https://openalex.org/W2898892019","https://openalex.org/W2898900571","https://openalex.org/W2902625698","https://openalex.org/W2955189650","https://openalex.org/W2962724315","https://openalex.org/W2963001155","https://openalex.org/W2963461379","https://openalex.org/W2963464736","https://openalex.org/W2963559848","https://openalex.org/W2963759562","https://openalex.org/W2963858333","https://openalex.org/W2963945905","https://openalex.org/W2964048876","https://openalex.org/W2965043358","https://openalex.org/W2967835402","https://openalex.org/W2970515169","https://openalex.org/W2971099055","https://openalex.org/W2971234316","https://openalex.org/W2980087597","https://openalex.org/W2980160556","https://openalex.org/W2980994576","https://openalex.org/W2982745079","https://openalex.org/W2989851631","https://openalex.org/W2990384329","https://openalex.org/W2991265870","https://openalex.org/W2995269492","https://openalex.org/W2996144997","https://openalex.org/W2996514457","https://openalex.org/W3003906095","https://openalex.org/W3008314020","https://openalex.org/W3028769608","https://openalex.org/W3032731803","https://openalex.org/W3034722190","https://openalex.org/W3090783937","https://openalex.org/W3099354210","https://openalex.org/W3114563362","https://openalex.org/W3116651890","https://openalex.org/W3118240751","https://openalex.org/W3166932403","https://openalex.org/W3204431142","https://openalex.org/W3209373652","https://openalex.org/W4287373991","https://openalex.org/W4288336812","https://openalex.org/W4295883599","https://openalex.org/W4297733535","https://openalex.org/W4300830895","https://openalex.org/W6738602802","https://openalex.org/W6740217080","https://openalex.org/W6748613090","https://openalex.org/W6755864109","https://openalex.org/W6767674130","https://openalex.org/W6769782826","https://openalex.org/W6770412879","https://openalex.org/W6775989478","https://openalex.org/W6784071224","https://openalex.org/W6788123894","https://openalex.org/W6800479449","https://openalex.org/W6802815812"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W3183027292","https://openalex.org/W4310285384","https://openalex.org/W2794885965","https://openalex.org/W3197982909","https://openalex.org/W4286986507"],"abstract_inverted_index":{"Multi-agent":[0],"trajectory":[1,31,67],"prediction":[2,22,32,52,68,86,121,144],"plays":[3],"a":[4,38,47,82,89,142,150],"crucial":[5],"role":[6],"in":[7,64,76,117,129,140,149],"robotics":[8],"and":[9,136],"autonomous":[10],"driving.":[11],"The":[12],"current":[13,51],"mainstream":[14],"research":[15],"focuses":[16],"on":[17,23],"how":[18],"to":[19,95,111,159],"achieve":[20],"accurate":[21],"one":[24],"large":[25],"dataset.":[26],"However,":[27],"whether":[28],"the":[29,50,60,65,72,100,108,113,161],"multi-agent":[30,66,83,118],"model":[33],"can":[34],"be":[35],"trained":[36],"with":[37,88],"sequence":[39],"of":[40,102,163],"datasets,":[41],"i.e.,":[42],"continual":[43,61,77,114],"learning":[44,62,78,115],"settings,":[45],"remains":[46],"question.":[48],"Can":[49,57],"methods":[53,75],"avoid":[54],"catastrophic":[55,97,134],"forgetting?":[56],"we":[58,80],"utilize":[59],"strategy":[63],"application?":[69],"Motivated":[70],"by":[71],"generative":[73,92],"replay":[74],"literature,":[79],"propose":[81],"interaction":[84,119],"behavior":[85,120],"framework":[87],"graph-neural-network-based":[90],"conditional":[91],"memory":[93],"system":[94],"mitigate":[96],"forgetting.":[98],"To":[99],"best":[101],"our":[103,137,164],"knowledge,":[104],"this":[105],"work":[106],"is":[107],"first":[109],"attempt":[110],"study":[112],"problem":[116],"problems.":[122],"We":[123,153],"empirically":[124],"show":[125,160],"that":[126],"several":[127],"approaches":[128],"literature":[130],"indeed":[131],"suffer":[132],"from":[133],"forgetting,":[135],"approach":[138],"succeeds":[139],"maintaining":[141],"low":[143],"error":[145],"when":[146],"datasets":[147],"come":[148],"sequential":[151],"way.":[152],"also":[154],"conduct":[155],"an":[156],"ablation":[157],"analysis":[158],"effectiveness":[162],"proposed":[165],"approach.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}