{"id":"https://openalex.org/W7134910619","doi":"https://doi.org/10.48550/arxiv.2603.09237","title":"MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics","display_name":"MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134910619","doi":"https://doi.org/10.48550/arxiv.2603.09237"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09237","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":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.2603.09237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093047773","display_name":"Neil C. Janwani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janwani, Neil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010917268","display_name":"Ellen Novoseller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Novoseller, Ellen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051690828","display_name":"Vernon J. Lawhern","orcid":"https://orcid.org/0000-0002-3921-8723"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lawhern, Vernon J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054944952","display_name":"Maegan Tucker","orcid":"https://orcid.org/0000-0001-7363-6809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tucker, Maegan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.777899980545044,"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":0.777899980545044,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.10040000081062317,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.0210999995470047,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8224999904632568},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7469000220298767},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.7445999979972839},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.569599986076355},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.541100025177002},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5357000231742859},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.37310001254081726}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8224999904632568},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7469000220298767},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.7445999979972839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7106999754905701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736000180244446},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.569599986076355},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5357000231742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40149998664855957},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C199505168","wikidata":"https://www.wikidata.org/wiki/Q3267529","display_name":"Evolutionary robotics","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.2766999900341034},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09237","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":"doi:10.48550/arxiv.2603.09237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09237","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":false,"raw_source_name":null,"raw_type":"article"},"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":{"Multi-objective":[0],"reinforcement":[1],"learning":[2,118],"(MORL)":[3],"is":[4],"a":[5,61,70,109],"powerful":[6],"tool":[7],"to":[8,30,90],"learn":[9],"Pareto-optimal":[10,119],"policy":[11],"families":[12],"across":[13,122],"conflicting":[14],"objectives.":[15],"However,":[16],"unlike":[17],"traditional":[18],"RL":[19],"algorithms,":[20],"existing":[21],"MORL":[22,65],"algorithms":[23],"do":[24],"not":[25],"effectively":[26],"leverage":[27],"large-scale":[28],"parallelization":[29],"concurrently":[31],"simulate":[32],"thousands":[33],"of":[34,73,104],"environments,":[35],"resulting":[36],"in":[37],"vastly":[38],"increased":[39],"computation":[40],"time.":[41],"Ultimately,":[42],"this":[43],"has":[44],"limited":[45],"MORL's":[46],"application":[47],"towards":[48],"complex":[49],"multi-objective":[50,75],"robotics":[51],"problems.":[52],"To":[53],"address":[54],"these":[55],"challenges,":[56],"we":[57],"present":[58],"1)":[59],"MORLAX,":[60],"new":[62],"GPU-native,":[63],"fast":[64],"algorithm,":[66],"and":[67,79,117,132],"2)":[68],"MO-Playground,":[69],"pip-installable":[71],"playground":[72],"GPU-accelerated":[74],"environments.":[76],"Together,":[77],"MORLAX":[78],"MO-Playground":[80,116],"approximate":[81],"Pareto":[82,97],"sets":[83],"within":[84],"minutes,":[85],"offering":[86],"25-270x":[87],"speed-ups":[88],"compared":[89],"legacy":[91],"CPU-based":[92],"approaches":[93],"whilst":[94],"achieving":[95],"superior":[96],"front":[98],"hypervolumes.":[99],"We":[100],"demonstrate":[101],"the":[102],"versatility":[103],"our":[105],"approach":[106],"by":[107],"implementing":[108],"custom":[110],"BRUCE":[111],"humanoid":[112],"robot":[113],"environment":[114],"using":[115],"locomotion":[120],"policies":[121],"6":[123],"realistic":[124],"objectives":[125],"for":[126],"BRUCE,":[127],"such":[128],"as":[129],"smoothness,":[130],"efficiency":[131],"arm":[133],"swinging.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-12T00:00:00"}