{"id":"https://openalex.org/W7155398462","doi":"https://doi.org/10.48550/arxiv.2604.20087","title":"SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks","display_name":"SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155398462","doi":"https://doi.org/10.48550/arxiv.2604.20087"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20087","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20087","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134367889","display_name":"Shanshan Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhong, Shanshan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134445932","display_name":"Yi Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134410108","display_name":"Jingjie Ning","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning, Jingjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134369394","display_name":"Yibing Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Yibing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134426070","display_name":"Lihan Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Lihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102658986","display_name":"Yuyi Ao","orcid":"https://orcid.org/0009-0000-2574-5082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ao, Yuyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130352179","display_name":"Leonardo F. R. Ribeiro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ribeiro, Leonardo F. R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079131136","display_name":"Markus Dreyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dreyer, Markus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078077840","display_name":"Sean Ammirati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ammirati, Sean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134376831","display_name":"Chenyan Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Chenyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5134367889"],"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":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":0.5874999761581421,"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":0.5874999761581421,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.1111999973654747,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.033799998462200165,"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/benchmarking","display_name":"Benchmarking","score":0.713699996471405},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6308000087738037},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6072999835014343},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.557200014591217},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41819998621940613},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3889999985694885},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.3662000000476837},{"id":"https://openalex.org/keywords/dreyfus-model-of-skill-acquisition","display_name":"Dreyfus model of skill acquisition","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372999787330627},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.713699996471405},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6072999835014343},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550000011920929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4984999895095825},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3889999985694885},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C132758656","wikidata":"https://www.wikidata.org/wiki/Q5307365","display_name":"Dreyfus model of skill acquisition","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3287999927997589},{"id":"https://openalex.org/C12298181","wikidata":"https://www.wikidata.org/wiki/Q7246814","display_name":"Proactive learning","level":5,"score":0.3077000081539154},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C2986563244","wikidata":"https://www.wikidata.org/wiki/Q6822310","display_name":"Learning to learn","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C2780554381","wikidata":"https://www.wikidata.org/wiki/Q2063340","display_name":"Sensemaking","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20087","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20087","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20087","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20087","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7806023359298706,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Skills":[0],"have":[1],"become":[2],"the":[3,35,102],"de":[4],"facto":[5],"way":[6],"to":[7,11,24,87,120,181],"enable":[8,182],"LLM":[9,143],"agents":[10],"perform":[12],"complex":[13],"real-world":[14,55],"tasks":[15,48,115,130],"with":[16,131],"customized":[17],"instructions,":[18],"workflows,":[19],"and":[20,28,67,84,116,118,140,175,189],"tools,":[21],"but":[22,135],"how":[23],"learn":[25],"them":[26],"automatically":[27],"effectively":[29],"remains":[30],"unclear.":[31],"We":[32,93],"introduce":[33],"SkillLearnBench,":[34],"first":[36],"benchmark":[37],"for":[38],"evaluating":[39],"continual":[40,76,97,159,190],"skill":[41,56,63,85,187],"learning":[42,77,98,128,160,191],"methods,":[43],"comprising":[44],"20":[45],"verified,":[46],"skill-dependent":[47],"across":[49,113],"15":[50],"sub-domains":[51],"derived":[52],"from":[53,90],"a":[54],"taxonomy":[57],",":[58],"evaluated":[59],"at":[60,179],"three":[61],"levels:":[62],"quality,":[64],"execution":[65],"trajectory,":[66],"task":[68],"outcome.":[69],"Using":[70],"this":[71],"benchmark,":[72],"we":[73],"evaluate":[74],"recent":[75],"techniques,":[78],"those":[79],"leveraging":[80],"one-shot,":[81],"self/teacher":[82],"feedback,":[83,166],"creator":[86],"generate":[88],"skills":[89],"agent":[91],"experiences.":[92],"find":[94],"that":[95,155],"all":[96,114],"methods":[99],"improve":[100],"over":[101],"no-skill":[103],"baseline,":[104],"yet":[105],"consistent":[106],"gains":[107],"remain":[108],"elusive:":[109],"no":[110],"method":[111],"leads":[112],"LLMs,":[117],"scaling":[119],"stronger":[121,142],"LLMs":[122],"does":[123,145],"not":[124,146],"reliably":[125],"help.":[126],"Continual":[127],"improves":[129],"clear,":[132],"reusable":[133],"workflows":[134],"struggles":[136],"on":[137],"open-ended":[138],"tasks,":[139],"using":[141],"backbones":[144],"consistently":[147],"produce":[148],"better":[149],"skills.":[150],"Our":[151,173],"analysis":[152],"also":[153],"revealed":[154],"multiple":[156],"iterations":[157],"in":[158],"facilitate":[161],"genuine":[162],"improvement":[163],"via":[164],"external":[165],"whereas":[167],"self-feedback":[168],"alone":[169],"induces":[170],"recursive":[171],"drift.":[172],"data":[174],"code":[176],"are":[177],"open-source":[178],"https://github.com/cxcscmu/SkillLearnBench":[180],"further":[183],"studies":[184],"of":[185],"automatic":[186],"generation":[188],"techniques.":[192]},"counts_by_year":[],"updated_date":"2026-04-24T06:07:52.864757","created_date":"2026-04-24T00:00:00"}