{"id":"https://openalex.org/W7165964646","doi":"https://doi.org/10.48550/arxiv.2606.25337","title":"AI Coaching for Accelerating Human Skill Development with Reinforcement Learning","display_name":"AI Coaching for Accelerating Human Skill Development with Reinforcement Learning","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7165964646","doi":"https://doi.org/10.48550/arxiv.2606.25337"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.25337","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25337","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.25337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139329484","display_name":"Wei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139349305","display_name":"Enlin Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Enlin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075873122","display_name":"Antonio Loquercio","orcid":"https://orcid.org/0000-0002-8410-3933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loquercio, Antonio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032418646","display_name":"Haimin Hu","orcid":"https://orcid.org/0000-0002-4217-4776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Haimin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139338511","display_name":"Rahul Mangharam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mangharam, Rahul","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":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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.4948999881744385,"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":0.4948999881744385,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.13729999959468842,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.06310000270605087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.8382999897003174},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6733999848365784},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6292999982833862},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.5842000246047974},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5159000158309937},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46709999442100525}],"concepts":[{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.8382999897003174},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6733999848365784},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6292999982833862},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.5842000246047974},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084999799728394},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37770000100135803},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C132758656","wikidata":"https://www.wikidata.org/wiki/Q5307365","display_name":"Dreyfus model of skill acquisition","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32989999651908875},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3224000036716461},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32179999351501465},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.28850001096725464}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.25337","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25337","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":"doi:10.48550/arxiv.2606.25337","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25337","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"AI":[0,25,65,137],"copilots":[1],"can":[2,13,27],"substantially":[3],"boost":[4],"human":[5,34,132],"performance":[6,79],"through":[7],"shared":[8,100],"control,":[9],"but":[10],"excessive":[11],"assistance":[12],"induce":[14],"over-reliance":[15],"and":[16,45],"skill":[17,111],"atrophy.":[18],"This":[19],"paper":[20],"studies":[21],"how":[22],"an":[23],"embodied":[24],"agent":[26],"act":[28],"as":[29,68],"a":[30,69,94],"coach":[31,82],"that":[32,39,48,58],"accelerates":[33],"motor-skill":[35],"development.":[36],"We":[37,61],"argue":[38],"effective":[40],"coaching":[41,66,117,138],"requires":[42],"strategic":[43],"scaffolding":[44],"stepping":[46],"back":[47],"are":[49],"aligned":[50],"with":[51,102],"the":[52,63,75,81,84,106],"learner's":[53,85],"capability,":[54],"allowing":[55],"productive":[56],"failures":[57],"drive":[59],"learning.":[60],"formalize":[62],"interactive":[64],"process":[67],"non-cooperative":[70],"dynamic":[71],"game":[72],"in":[73,131],"which":[74],"learner":[76],"optimizes":[77],"task":[78],"while":[80],"targets":[83],"independent":[86],"competence.":[87],"Building":[88],"on":[89,110,124],"this":[90],"formalism,":[91],"we":[92],"develop":[93],"reinforcement":[95],"learning":[96,133],"framework":[97],"combining":[98],"adaptive":[99],"control":[101],"probabilistic":[103],"models":[104],"of":[105,116],"coach's":[107],"causal":[108],"influence":[109],"evolution,":[112],"enabling":[113],"tractable":[114],"training":[115],"policies.":[118],"A":[119],"comprehensive":[120],"user":[121],"study":[122],"(N=33)":[123],"first-person-view":[125],"drone":[126],"racing":[127],"shows":[128],"significant":[129],"gains":[130],"outcomes":[134],"over":[135],"state-of-the-art":[136],"baselines.":[139]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-26T00:00:00"}
