{"id":"https://openalex.org/W7165891381","doi":"https://doi.org/10.48550/arxiv.2606.25357","title":"Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning","display_name":"Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7165891381","doi":"https://doi.org/10.48550/arxiv.2606.25357"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.25357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.25357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015157301","display_name":"Yivan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yivan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081989147","display_name":"Ziyan Luo","orcid":"https://orcid.org/0000-0002-6091-0036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Ziyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047857726","display_name":"Manuel Baltieri","orcid":"https://orcid.org/0000-0002-6086-4711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baltieri, Manuel","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":0.49810001254081726,"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":0.49810001254081726,"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/T10142","display_name":"Formal Methods in Verification","score":0.12250000238418579,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.04479999840259552,"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/soundness","display_name":"Soundness","score":0.8026999831199646},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7534000277519226},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.7444999814033508},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6504999995231628},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4578999876976013},{"id":"https://openalex.org/keywords/behavioral-modeling","display_name":"Behavioral modeling","score":0.4020000100135803},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.38940000534057617},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.3885999917984009}],"concepts":[{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.8026999831199646},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7534000277519226},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7444999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024999856948853},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3463999927043915},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.25060001015663147},{"id":"https://openalex.org/C135315306","wikidata":"https://www.wikidata.org/wiki/Q866364","display_name":"Bisimulation","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.25357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.25357","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"State":[0],"abstraction":[1,53,139],"plays":[2],"a":[3,19,41,62,77,130,151],"key":[4],"role":[5],"in":[6,28,71,140,157],"scaling":[7],"reinforcement":[8,29,72,141,158],"learning":[9,142],"to":[10,80,115],"complex":[11],"but":[12],"structured":[13],"systems.":[14,110],"In":[15,57],"studying":[16],"such":[17],"systems,":[18],"wide":[20],"range":[21],"of":[22,89,154],"behavioral":[23,38,69,82,100,121,155],"structures":[24,47,70,101,156],"have":[25],"been":[26],"studied":[27],"learning,":[30],"including":[31],"value":[32],"functions,":[33],"invariants,":[34],"bisimulation":[35],"relations,":[36],"and":[37,67,108,143,147],"metrics.":[39],"However,":[40],"general":[42],"principle":[43],"for":[44,65,133,150],"determining":[45],"what":[46],"are":[48],"provably":[49],"preserved":[50],"under":[51,137],"state":[52,138],"is":[54],"still":[55],"lacking.":[56],"this":[58,93],"paper,":[59],"we":[60,95],"present":[61],"unified":[63],"framework":[64,75],"defining":[66],"analyzing":[68],"learning.":[73,159],"Our":[74],"provides":[76],"compositional":[78],"way":[79],"specify":[81],"semantics":[83,122],"based":[84],"on":[85],"local,":[86],"one-step":[87],"descriptions":[88],"system":[90],"dynamics.":[91],"Using":[92],"framework,":[94],"establish":[96],"results":[97,128],"showing":[98],"how":[99,114],"can":[102],"be":[103],"safely":[104],"transferred":[105],"between":[106],"abstract":[107],"concrete":[109],"We":[111],"further":[112],"show":[113],"construct":[116],"quantitative":[117],"metrics":[118],"from":[119],"logical":[120],"with":[123],"soundness":[124],"guarantees.":[125],"Together,":[126],"these":[127],"provide":[129],"principled":[131],"foundation":[132],"reasoning":[134],"about":[135],"behaviors":[136],"offer":[144],"reusable":[145],"definition":[146],"proof":[148],"principles":[149],"broad":[152],"class":[153]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-26T00:00:00"}