{"id":"https://openalex.org/W7163206625","doi":"https://doi.org/10.48550/arxiv.2606.00609","title":"CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts","display_name":"CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts","publication_year":2026,"publication_date":"2026-05-30","ids":{"openalex":"https://openalex.org/W7163206625","doi":"https://doi.org/10.48550/arxiv.2606.00609"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00609","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.2606.00609","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137709920","display_name":"Rui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137679695","display_name":"Xinle Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xinle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137625234","display_name":"Yao Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yao","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":0.6830999851226807,"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":0.6830999851226807,"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":0.02979999966919422,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.02419999986886978,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8198000192642212},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5548999905586243},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.44999998807907104},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.43720000982284546},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.37880000472068787}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8198000192642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931999921798706},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5548999905586243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514000058174133},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.44999998807907104},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27230000495910645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00609","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.2606.00609","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00609","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":{"Reinforcement":[0],"learning":[1],"(RL)":[2],"with":[3,41],"verifiable":[4],"rewards":[5],"has":[6],"achieved":[7],"strong":[8],"progress":[9],"in":[10,25],"reasoning-oriented":[11],"LLMs,":[12],"but":[13],"extending":[14],"it":[15],"to":[16,22,36],"multi-domain":[17,76,119],"RL":[18,89,120],"remains":[19],"challenging":[20],"due":[21],"reward":[23,39],"unreliability":[24],"non-verifiable":[26,49],"tasks":[27],"and":[28,61,91,102,110,128,132],"capability":[29,85],"interference":[30],"across":[31,107],"domains.":[32],"We":[33],"propose":[34],"CARE-RL":[35,115],"combine":[37],"protocol-aware":[38],"generation":[40],"capability-aware":[42],"optimization":[43],"for":[44],"mitigating":[45],"cross-domain":[46],"conflicts.":[47],"For":[48,75],"tasks,":[50],"the":[51],"Protocol-Aware":[52],"Generative":[53],"Reward":[54],"Model":[55],"(PA-GRM)":[56],"constructs":[57],"prompt-level":[58],"evaluation":[59,71],"protocols":[60],"schemas":[62],"before":[63],"producing":[64],"trace-conditioned":[65],"rewards,":[66],"enabling":[67],"task-adaptive":[68],"yet":[69],"comparable":[70],"of":[72,126],"open-ended":[73],"responses.":[74],"optimization,":[77],"Direction-Aware":[78],"Capability":[79],"Subspace":[80],"Projection":[81],"(DACSP)":[82],"extracts":[83],"historical":[84],"directions":[86],"from":[87],"previous":[88],"stages":[90],"modulates":[92],"later":[93],"updates":[94],"by":[95],"amplifying":[96],"aligned":[97],"components,":[98,101],"suppressing":[99],"conflicting":[100],"preserving":[103],"orthogonal":[104],"updates.":[105],"Experiments":[106],"math,":[108],"chat,":[109],"instruction-following":[111],"benchmarks":[112],"show":[113],"that":[114],"consistently":[116],"outperforms":[117],"standard":[118],"baselines,":[121],"achieving":[122],"Total":[123],"Avg":[124],"scores":[125],"47.9":[127],"50.7":[129],"on":[130],"Qwen2.5-7B":[131],"Qwen3-4B,":[133],"respectively.":[134]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}