{"id":"https://openalex.org/W4416251522","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228697","title":"Uncertainty-Guided Curriculum Design: robust policy learning with adversarial environment","display_name":"Uncertainty-Guided Curriculum Design: robust policy learning with adversarial environment","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251522","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228697"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5101253103","display_name":"Wenning Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenning Hu","raw_affiliation_strings":["Harbin Engineering University,College of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021313030","display_name":"Lianke Zhou","orcid":"https://orcid.org/0000-0002-3601-9286"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianke Zhou","raw_affiliation_strings":["Harbin Engineering University,College of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055516943","display_name":"Ming He","orcid":"https://orcid.org/0000-0001-6073-9040"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming He","raw_affiliation_strings":["Harbin Engineering University,College of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031640535","display_name":"Nianbin Wang","orcid":"https://orcid.org/0000-0003-1738-7937"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianbin Wang","raw_affiliation_strings":["Harbin Engineering University,College of Computer Science and Technology,Harbin,China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101253103"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19477042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3357999920845032,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3357999920845032,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.17589999735355377,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08160000294446945,"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/novelty","display_name":"Novelty","score":0.7283999919891357},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7161999940872192},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.6467000246047974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.597100019454956},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5727999806404114},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5458999872207642},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5055999755859375}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7283999919891357},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7161999940872192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484000086784363},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.6467000246047974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025999784469604},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.597100019454956},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5727999806404114},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5113000273704529},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2951360122","https://openalex.org/W2968104655","https://openalex.org/W2972758308","https://openalex.org/W3034728521","https://openalex.org/W3142849873","https://openalex.org/W4230747673","https://openalex.org/W4285278949","https://openalex.org/W4306679387","https://openalex.org/W4366483297"],"related_works":[],"abstract_inverted_index":{"Deploying":[0],"reinforcement":[1],"learning":[2,29,207],"into":[3],"real-world":[4],"environments":[5],"remains":[6],"challenging":[7,152],"at":[8],"present":[9],"due":[10],"to":[11,34,57,72,130,172,185,212],"the":[12,18,40,54,74,77,101,137,157,164,174,177,182,201,237],"impact":[13],"of":[14,21,76,105,139,161,176,225,240],"environmental":[15,111],"uncertainty.":[16],"Enhancing":[17],"generalization":[19,37,148,238],"ability":[20,149,239],"agents":[22,106,144,162,202],"can":[23,115,145],"help":[24],"improve":[25,35,146],"this":[26,96],"problem.":[27],"Curriculum":[28,125],"provides":[30],"an":[31],"effective":[32,234],"means":[33],"model":[36,102],"by":[38],"simulating":[39],"teacher-student":[41],"training":[42,51,84,132],"mode.":[43],"The":[44],"teacher":[45],"module":[46,56],"generates":[47],"progressively":[48],"more":[49,61,107,151],"difficult":[50],"tasks,":[52,227],"enabling":[53],"student":[55,89],"learn":[58,213],"task":[59,214],"skills":[60,215],"efficiently":[62],"than":[63],"with":[64,136],"disorganized":[65],"tasks.":[66],"However,":[67],"it":[68,171],"is":[69],"not":[70,80],"easy":[71],"define":[73,173],"difficulty":[75,175],"curriculum,":[78],"and":[79,114,169,197,209],"stable":[81],"enough":[82],"for":[83],"if":[85],"only":[86],"relying":[87],"on":[88,222],"reward":[90],"feedback":[91],"in":[92,150,188,206,235],"curriculum":[93,119,192],"learning.":[94],"In":[95],"paper,":[97],"we":[98,122,155,180],"argue":[99],"that":[100,134,143,193,230],"prediction":[103,159],"uncertainty":[104,160],"accurately":[108],"reflects":[109],"its":[110],"adaptation":[112],"level":[113],"thus":[116],"reliably":[117],"determine":[118],"difficulty.":[120],"Thus,":[121],"propose":[123],"Uncertainty-Guided":[124],"Design":[126],"(UGCD),":[127],"which":[128,228],"aims":[129],"design":[131],"tasks":[133],"align":[135],"frontier":[138],"agent":[140],"ability,":[141],"so":[142],"their":[147],"environments.":[153],"First,":[154],"evaluate":[156],"value":[158],"through":[163],"ensemble":[165],"probabilistic":[166],"neural":[167],"networks":[168],"use":[170],"curriculum.":[178],"Moreover,":[179],"utilize":[181],"novelty":[183,198],"score":[184],"ensure":[186],"diversity":[187],"environment":[189],"generation.":[190],"A":[191],"combines":[194],"both":[195],"challenge":[196],"will":[199],"prevent":[200],"from":[203],"getting":[204],"stuck":[205],"dilemmas":[208],"enable":[210],"them":[211],"gradually.":[216],"Our":[217],"approach":[218],"achieves":[219],"better":[220],"performance":[221],"a":[223],"series":[224],"zero-shot":[226],"suggests":[229],"uncertainty-guided":[231],"lessons":[232],"are":[233],"improving":[236],"agents.":[241]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
