{"id":"https://openalex.org/W7133332576","doi":"https://doi.org/10.48550/arxiv.2603.01553","title":"State-Action Inpainting Diffuser for Continuous Control with Delay","display_name":"State-Action Inpainting Diffuser for Continuous Control with Delay","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133332576","doi":"https://doi.org/10.48550/arxiv.2603.01553"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01553","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01553","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127963064","display_name":"Dongqi Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Han, Dongqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127914829","display_name":"Wei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103053641","display_name":"Enze Zhang","orcid":"https://orcid.org/0000-0002-1823-8178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Enze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127927387","display_name":"Dongsheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Dongsheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5127963064"],"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":0.6574000120162964,"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":0.6574000120162964,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.05209999904036522,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03229999914765358,"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/inpainting","display_name":"Inpainting","score":0.7839999794960022},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.609499990940094},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5577999949455261},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.45980000495910645},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4171000123023987},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4075999855995178},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.37380000948905945}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7839999794960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6157000064849854},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.609499990940094},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5577999949455261},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.45980000495910645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4505999982357025},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C2780565730","wikidata":"https://www.wikidata.org/wiki/Q5275430","display_name":"Diffuser (optics)","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C202532154","wikidata":"https://www.wikidata.org/wiki/Q4374193","display_name":"Problem statement","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26100000739097595},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01553","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01553","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.01553","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01553","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":"article"},"sustainable_development_goals":[{"score":0.5385702848434448,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Signal":[0],"delay":[1],"poses":[2],"a":[3,15,66,89,148],"fundamental":[4],"challenge":[5],"in":[6],"continuous":[7,134],"control":[8,135],"and":[9,20,41,111,127,142],"reinforcement":[10],"learning":[11,75],"(RL)":[12],"by":[13,60],"introducing":[14,61],"temporal":[16],"gap":[17],"between":[18],"interaction":[19],"perception.":[21],"Current":[22],"solutions":[23],"have":[24],"largely":[25],"evolved":[26],"along":[27],"two":[28],"distinct":[29],"paradigms:":[30],"model-free":[31,112],"approaches":[32],"which":[33,44],"utilize":[34],"state":[35],"augmentation":[36],"to":[37,120,124,151],"preserve":[38],"Markovian":[39],"properties,":[40],"model-based":[42,110],"methods":[43],"focus":[45],"on":[46,132],"inferring":[47],"latent":[48],"beliefs":[49],"via":[50],"dynamics":[51,74,98],"modeling.":[52],"In":[53],"this":[54,115],"paper,":[55],"we":[56],"bridge":[57],"these":[58],"perspectives":[59],"State-Action":[62],"Inpainting":[63],"Diffuser":[64],"(SAID),":[65],"framework":[67],"that":[68,138],"integrates":[69],"the":[70,77,86,107,153],"inductive":[71],"bias":[72],"of":[73,81,109,155],"with":[76,157],"direct":[78],"decision-making":[79],"capability":[80],"policy":[82],"optimization.":[83],"By":[84],"formulating":[85],"problem":[87],"as":[88],"joint":[90],"sequence":[91],"inpainting":[92],"task,":[93],"SAID":[94,119,139],"implicitly":[95],"captures":[96],"environmental":[97],"while":[99],"directly":[100],"generating":[101],"consistent":[102],"plans,":[103],"effectively":[104],"operating":[105],"at":[106],"intersection":[108],"paradigms.":[113],"Crucially,":[114],"generative":[116],"formulation":[117],"allows":[118],"be":[121],"seamlessly":[122],"applied":[123],"both":[125],"online":[126],"offline":[128],"RL.":[129],"Extensive":[130],"experiments":[131],"delayed":[133],"benchmarks":[136],"demonstrate":[137],"achieves":[140],"state-of-the-art":[141],"robust":[143],"performance.":[144],"Our":[145],"study":[146],"suggests":[147],"new":[149],"methodology":[150],"advance":[152],"field":[154],"RL":[156],"delay.":[158]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}
