{"id":"https://openalex.org/W4409149663","doi":"https://doi.org/10.1145/3690624.3709344","title":"Abductive Learning for Neuro-Symbolic Grounded Imitation","display_name":"Abductive Learning for Neuro-Symbolic Grounded Imitation","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409149663","doi":"https://doi.org/10.1145/3690624.3709344"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087294333","display_name":"Jie-Jing Shao","orcid":"https://orcid.org/0000-0001-8107-114X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie-Jing Shao","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8107-114X","affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092807382","display_name":"Haoran Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Ran Hao","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0009-1163-8150","affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100512469","display_name":"Xiao-Wen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Wen Yang","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0007-4206-6242","affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355152","display_name":"Yu-Feng Li","orcid":"https://orcid.org/0000-0002-7727-4304"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Feng Li","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7727-4304","affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1221","last_page":"1232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9962000250816345,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9962000250816345,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9961000084877014,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.8008897304534912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370096206665039},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.5256608128547668},{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.5138407349586487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4866552948951721},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2938772439956665},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.13746502995491028},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09872472286224365},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08274596929550171}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.8008897304534912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370096206665039},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.5256608128547668},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.5138407349586487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4866552948951721},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2938772439956665},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.13746502995491028},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09872472286224365},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08274596929550171},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690624.3709344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W2018987210","https://openalex.org/W2119709400","https://openalex.org/W2337392266","https://openalex.org/W2787066086","https://openalex.org/W2920882913","https://openalex.org/W2976205474","https://openalex.org/W2990138404","https://openalex.org/W2996464769","https://openalex.org/W3034819467","https://openalex.org/W3111533844","https://openalex.org/W3128374149","https://openalex.org/W3178520484","https://openalex.org/W4210444794","https://openalex.org/W4385764391","https://openalex.org/W4393147837","https://openalex.org/W4401857047","https://openalex.org/W6600741150","https://openalex.org/W6601013545","https://openalex.org/W6825417173"],"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/W2899084033","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525"],"abstract_inverted_index":{"Recent":[0],"learning-to-imitation":[1],"methods":[2],"have":[3],"shown":[4],"promise":[5],"in":[6,18,32,49,92],"planning":[7,30],"by":[8],"imitating":[9],"within":[10],"the":[11,72,90,97,104,116,135],"observation-action":[12],"space,":[13],"yet":[14],"they":[15],"remain":[16],"constrained":[17],"open":[19],"environments,":[20],"especially":[21],"for":[22,131,188],"long-horizon":[23,81,180,189],"tasks.":[24],"In":[25,52],"contrast,":[26],"while":[27],"traditional":[28],"symbolic":[29,40,93,122,132,136,153],"excels":[31],"such":[33],"tasks":[34],"through":[35,152],"logical":[36,149],"reasoning":[37,87],"over":[38],"human-defined":[39],"spaces,":[41],"it":[42,183],"struggles":[43],"with":[44,143,163],"high-dimensional":[45],"visual":[46],"inputs":[47],"encountered":[48],"real-world":[50],"scenarios.":[51],"this":[53],"work,":[54],"we":[55,84,138],"draw":[56],"inspiration":[57],"from":[58,118],"abductive":[59,86],"learning":[60,76],"and":[61,77,95,108,176],"introduce":[62],"a":[63,129,140,185],"novel":[64],"framework":[65],"ABductive":[66],"Imitation":[67],"Learning":[68],"(ABIL)":[69],"that":[70,157],"integrates":[71],"benefits":[73],"of":[74,99],"data-driven":[75],"symbolic-based":[78],"reasoning,":[79],"enabling":[80],"planning.":[82,133,190],"Specifically,":[83],"employ":[85],"to":[88,102,114,121,166],"understand":[89],"demonstrations":[91],"space":[94,123],"design":[96],"principles":[98],"sequential":[100],"consistency":[101],"resolve":[103],"conflicts":[105],"between":[106],"perception":[107,117],"reasoning.":[109,154],"ABIL":[110,171],"generates":[111],"predicate":[112,126],"candidates":[113],"facilitate":[115],"raw":[119],"observations":[120,162],"without":[124],"laborious":[125],"annotations,":[127],"providing":[128],"groundwork":[130],"With":[134],"understanding,":[137],"develop":[139],"policy":[141],"ensemble":[142],"base":[144],"policies":[145],"designed":[146],"around":[147],"different":[148],"objectives,":[150],"managed":[151],"Experiments":[155],"demonstrate":[156],"our":[158],"method":[159],"successfully":[160],"comprehends":[161],"task-relevant":[164],"symbolics":[165],"aid":[167],"imitation":[168],"learning.":[169],"Importantly,":[170],"demonstrates":[172],"improved":[173],"data":[174],"efficiency":[175],"generalization":[177],"across":[178],"various":[179],"tasks,":[181],"highlighting":[182],"as":[184],"promising":[186],"solution":[187],"Project":[191],"website:":[192],"https://www.lamda.nju.edu.cn/shaojj/KDD25_ABIL/.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}