{"id":"https://openalex.org/W7134820424","doi":"https://doi.org/10.48550/arxiv.2603.07978","title":"OSExpert: Computer-Use Agents Learning Professional Skills via Exploration","display_name":"OSExpert: Computer-Use Agents Learning Professional Skills via Exploration","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134820424","doi":"https://doi.org/10.48550/arxiv.2603.07978"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.07978","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128661130","display_name":"Jiateng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiateng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128677723","display_name":"Zhenhailong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhenhailong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038652158","display_name":"Rushi Wang","orcid":"https://orcid.org/0000-0001-9366-9288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Rushi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128668986","display_name":"Bingxuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128631521","display_name":"Jeonghwan Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jeonghwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125910190","display_name":"Aditi Tiwari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiwari, Aditi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128688859","display_name":"Pengfei Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Pengfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638181","display_name":"Denghui Zhang","orcid":"https://orcid.org/0000-0002-8452-5925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Denghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128679114","display_name":"Heng Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Heng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30407792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17100000381469727,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17100000381469727,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.13850000500679016,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.12780000269412994,"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/action","display_name":"Action (physics)","score":0.6367999911308289},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6320000290870667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6320000290870667},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4408000111579895},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.43709999322891235},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.4275999963283539},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35190001130104065},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.3492000102996826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243000268936157},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6367999911308289},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6320000290870667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6320000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5206000208854675},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4950999915599823},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4553000032901764},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4408000111579895},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C2780210234","wikidata":"https://www.wikidata.org/wiki/Q422638","display_name":"Action plan","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C124469403","wikidata":"https://www.wikidata.org/wiki/Q1813993","display_name":"Procedural knowledge","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.07978","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.07978","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.07978","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.07978","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8291819095611572,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"General-purpose":[0],"computer-use":[1],"agents":[2,31,99,131],"have":[3],"shown":[4],"impressive":[5],"performance":[6,125,184],"across":[7],"diverse":[8],"digital":[9],"environments.":[10],"However,":[11],"our":[12,168],"new":[13],"benchmark,":[14],"OSExpert-Eval,":[15],"indicates":[16],"they":[17],"remain":[18],"far":[19],"less":[20],"helpful":[21],"than":[22],"human":[23],"experts.":[24],"Although":[25],"inference-time":[26,155],"scaling":[27,156],"enables":[28],"adaptation,":[29],"these":[30,104],"complete":[32],"complex":[33],"tasks":[34],"inefficiently":[35],"with":[36,46,132],"degraded":[37],"performance,":[38],"transfer":[39],"poorly":[40],"to":[41,63,80,100,121,138,153,193],"unseen":[42],"UIs,":[43],"and":[44,66,126,145,149,188],"struggle":[45],"fine-grained":[47,89],"action":[48,96],"sequences.":[49],"To":[50,87],"solve":[51],"the":[52,112,118,123,190],"problem,":[53],"we":[54,91],"introduce":[55],"a":[56,82,93,108,172,180],"GUI-based":[57],"depth-first":[58],"search":[59],"(GUI-DFS)":[60],"exploration":[61,113],"algorithm":[62],"comprehensively":[64],"explore":[65],"verify":[67],"an":[68],"environment's":[69],"unit":[70,78],"functions.":[71],"The":[72],"agent":[73,170],"then":[74],"exploits":[75],"compositionality":[76],"between":[77],"skills":[79,120],"self-construct":[81],"curriculum":[83],"for":[84,98,142],"composite":[85],"tasks.":[86],"support":[88],"actions,":[90,148],"curate":[92],"database":[94],"of":[95,162],"primitives":[97],"discover":[101],"during":[102],"exploration;":[103],"are":[105],"saved":[106],"as":[107],"skill":[109],"set":[110],"once":[111,141],"is":[114],"complete.":[115],"We":[116],"use":[117],"learned":[119],"improve":[122],"agent's":[124],"efficiency":[127,191],"by":[128,158,195],"(1)":[129],"enriching":[130],"ready-to-use":[133],"procedural":[134],"knowledge,":[135],"allowing":[136],"them":[137,152],"plan":[139],"only":[140],"long":[143],"trajectories":[144],"generate":[146],"accurate":[147],"(2)":[150],"enabling":[151],"end":[154],"earlier":[157],"realizing":[159],"their":[160],"boundary":[161],"capabilities.":[163],"Extensive":[164],"experiments":[165],"show":[166],"that":[167],"environment-learned":[169],"takes":[171],"meaningful":[173],"step":[174],"toward":[175],"expert-level":[176],"computer":[177],"use,":[178],"achieving":[179],"around":[181,196],"20":[182],"percent":[183,198],"gain":[185],"on":[186],"OSExpert-Eval":[187],"closing":[189],"gap":[192],"humans":[194],"80":[197]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-11T00:00:00"}