{"id":"https://openalex.org/W7161270690","doi":"https://doi.org/10.48550/arxiv.2605.14026","title":"R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning","display_name":"R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161270690","doi":"https://doi.org/10.48550/arxiv.2605.14026"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14026","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14026","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.2605.14026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012648322","display_name":"Sookeun Song","orcid":"https://orcid.org/0000-0002-7114-2669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Sanghyeob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136242097","display_name":"Donghyeok Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Donghyeok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136233837","display_name":"Jinsik Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jinsik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136261779","display_name":"Sungroh Yoon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon, Sungroh","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":0.44350001215934753,"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":0.44350001215934753,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.181099995970726,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.11729999631643295,"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/reuse","display_name":"Reuse","score":0.7081999778747559},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6798999905586243},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6177999973297119},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.4595000147819519},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3790999948978424},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3749000132083893}],"concepts":[{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7081999778747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843000054359436},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6798999905586243},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6177999973297119},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38449999690055847},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3749000132083893},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.34299999475479126},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31220000982284546},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2955999970436096},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2605000138282776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14026","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14026","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.2605.14026","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14026","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"For":[0],"reinforcement":[1],"learning":[2],"in":[3,26],"data-scarce":[4],"domains":[5],"like":[6,77],"real-world":[7],"robotics,":[8],"intensive":[9],"data":[10],"reuse":[11],"enhances":[12],"efficiency":[13],"but":[14],"induces":[15],"overfitting.":[16],"While":[17],"prior":[18,85],"works":[19],"focus":[20],"on":[21,74,132],"critic":[22],"bias,":[23],"representation-level":[24],"instability":[25],"Self-Predictive":[27],"Learning":[28],"(SPL)":[29],"under":[30],"high":[31],"Update-to-Data":[32],"(UTD)":[33],"regimes":[34],"remains":[35],"underexplored.":[36],"To":[37],"bridge":[38],"this":[39],"gap,":[40],"we":[41,87],"propose":[42],"Robust":[43],"Representation":[44],"via":[45],"Redundancy":[46],"Reduction":[47],"(R2R2),":[48],"a":[49,67,98,118,139],"regularization":[50],"method":[51],"within":[52],"SPL.":[53],"We":[54,71],"theoretically":[55],"identify":[56],"that":[57,111],"standard":[58],"zero-centering":[59],"conflicts":[60],"with":[61],"SPL's":[62],"spectral":[63],"properties":[64],"and":[65,128],"design":[66],"non-centered":[68],"objective":[69],"accordingly.":[70],"verify":[72],"R2R2":[73,112],"SPL-native":[75],"algorithms":[76],"TD7.":[78],"Furthermore,":[79],"to":[80,84],"demonstrate":[81],"its":[82],"orthogonality":[83],"advancements,":[86],"extend":[88],"the":[89],"state-of-the-art":[90],"SimbaV2,":[91],"which":[92,136],"originally":[93],"lacks":[94],"SPL,":[95],"by":[96,126],"integrating":[97],"tailored":[99],"SPL":[100],"module,":[101],"termed":[102],"SimbaV2-SPL.":[103],"Experiments":[104],"across":[105],"11":[106],"continuous":[107],"control":[108],"tasks":[109],"confirm":[110],"effectively":[113],"mitigates":[114],"overfitting;":[115],"specifically,":[116],"at":[117],"UTD":[119],"ratio":[120],"of":[121,134],"20,":[122],"it":[123],"improves":[124],"TD7":[125],"~22%":[127],"provides":[129],"additional":[130],"gains":[131],"top":[133],"SimbaV2-SPL,":[135],"itself":[137],"establishes":[138],"new":[140],"state-of-the-art.":[141],"The":[142],"code":[143],"can":[144],"be":[145],"found":[146],"at:":[147],"https://github.com/songsang7/R2R2":[148]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}