{"id":"https://openalex.org/W7134036460","doi":"https://doi.org/10.48550/arxiv.2603.05066","title":"Reward-Conditioned Reinforcement Learning","display_name":"Reward-Conditioned Reinforcement Learning","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7134036460","doi":"https://doi.org/10.48550/arxiv.2603.05066"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.05066","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116189258","display_name":"Michal Nauman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nauman, Michal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037989463","display_name":"Marek Cygan","orcid":"https://orcid.org/0000-0003-2472-2975"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cygan, Marek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128252476","display_name":"Pieter Abbeel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abbeel, Pieter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.5325999855995178,"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":0.5325999855995178,"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":0.09870000183582306,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.04910000041127205,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8274999856948853},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5813000202178955},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5371000170707703},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4474000036716461},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.43959999084472656},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.43160000443458557},{"id":"https://openalex.org/keywords/learning-classifier-system","display_name":"Learning classifier system","score":0.40310001373291016}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8274999856948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583000063896179},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5813000202178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479000210762024},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5371000170707703},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.40310001373291016},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C143661069","wikidata":"https://www.wikidata.org/wiki/Q670713","display_name":"Reward system","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.2621999979019165}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.05066","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.05066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05066","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.05066","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Single-task":[0],"RL":[1,71],"agents":[2,37],"are":[3],"typically":[4],"trained":[5],"under":[6,44,89],"a":[7,45,113],"fixed":[8],"reward":[9,16,39,63,92],"function,":[10],"which":[11],"limits":[12],"their":[13,19],"robustness":[14],"to":[15,21,23,61,97],"misspecification":[17],"and":[18,76,82,100],"ability":[20],"adapt":[22],"changing":[24],"preferences.":[25],"We":[26],"introduce":[27],"Reward-Conditioned":[28],"Reinforcement":[29],"Learning":[30],"(RCRL),":[31],"an":[32],"off-policy":[33],"method":[34],"that":[35,110],"conditions":[36],"on":[38],"parameterizations":[40],"while":[41],"collecting":[42],"experience":[43],"single":[46],"nominal":[47,91],"objective.":[48],"By":[49],"recomputing":[50],"counterfactual":[51],"rewards":[52],"from":[53,74],"shared":[54],"replay":[55],"data,":[56],"RCRL":[57,85,111],"exposes":[58],"the":[59,90,123],"agent":[60],"multiple":[62],"objectives":[64],"without":[65,121],"additional":[66],"environment":[67],"interaction,":[68],"connecting":[69],"single-task":[70,126],"with":[72],"ideas":[73],"multi-objective":[75],"multi-task":[77],"learning.":[78],"Across":[79],"single-task,":[80],"multi-task,":[81],"vision-based":[83],"benchmarks,":[84],"improves":[86],"sample":[87],"efficiency":[88],"parameterization,":[93],"enables":[94],"efficient":[95],"adaptation":[96],"new":[98],"parameterizations,":[99],"supports":[101],"zero-shot":[102],"behavioral":[103],"adjustment":[104],"at":[105],"deployment.":[106],"Our":[107],"results":[108],"show":[109],"provides":[112],"scalable":[114],"mechanism":[115],"for":[116],"learning":[117],"robust,":[118],"steerable":[119],"policies":[120],"sacrificing":[122],"simplicity":[124],"of":[125],"training.":[127]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-07T00:00:00"}
