{"id":"https://openalex.org/W4390436802","doi":"https://doi.org/10.48550/arxiv.2312.16189","title":"OpenRL: A Unified Reinforcement Learning Framework","display_name":"OpenRL: A Unified Reinforcement Learning Framework","publication_year":2023,"publication_date":"2023-12-20","ids":{"openalex":"https://openalex.org/W4390436802","doi":"https://doi.org/10.48550/arxiv.2312.16189"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.16189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.16189","pdf_url":"https://arxiv.org/pdf/2312.16189","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.16189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085636078","display_name":"Shi\u2010Yu Huang","orcid":"https://orcid.org/0000-0002-3721-987X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Shiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113084765","display_name":"Wentse Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Wentse","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101286305","display_name":"Yiwen Sun","orcid":"https://orcid.org/0009-0008-6973-7402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yiwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113937512","display_name":"Fuqing Bie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bie, Fuqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032604295","display_name":"Wei-Wei Tu","orcid":"https://orcid.org/0000-0002-2407-0252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Wei-Wei","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":true,"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/T10260","display_name":"Software Engineering Research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9616000056266785,"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/T10028","display_name":"Topic Modeling","score":0.9222999811172485,"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/computer-science","display_name":"Computer science","score":0.8393965363502502},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8039120435714722},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7410305142402649},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.7041077017784119},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.702060878276825},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.692790150642395},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.6751210689544678},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.508382260799408},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4776407778263092},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.452929824590683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3729879558086395},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19128546118736267},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08978259563446045},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0868268609046936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393965363502502},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8039120435714722},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7410305142402649},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7041077017784119},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.702060878276825},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.692790150642395},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.6751210689544678},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.508382260799408},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4776407778263092},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.452929824590683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3729879558086395},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19128546118736267},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08978259563446045},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0868268609046936},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.16189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.16189","pdf_url":"https://arxiv.org/pdf/2312.16189","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2312.16189","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.16189","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.16189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.16189","pdf_url":"https://arxiv.org/pdf/2312.16189","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"We":[0],"present":[1],"OpenRL,":[2],"an":[3],"advanced":[4,34],"reinforcement":[5],"learning":[6],"(RL)":[7],"framework":[8],"designed":[9],"to":[10,20,32,50,121],"accommodate":[11],"a":[12,52,69,74,105],"diverse":[13],"array":[14],"of":[15,54],"tasks,":[16],"from":[17],"single-agent":[18],"challenges":[19],"complex":[21],"multi-agent":[22],"systems.":[23],"OpenRL's":[24,114],"robust":[25,63],"support":[26],"for":[27,82,90],"self-play":[28],"training":[29,56],"empowers":[30],"agents":[31],"develop":[33],"strategies":[35],"in":[36,108],"competitive":[37],"settings.":[38],"Notably,":[39],"OpenRL":[40,65],"integrates":[41],"Natural":[42],"Language":[43],"Processing":[44],"(NLP)":[45],"with":[46],"RL,":[47],"enabling":[48],"researchers":[49,118],"address":[51],"combination":[53],"RL":[55,109],"and":[57,68,92,102,119,128],"language-centric":[58],"tasks":[59],"effectively.":[60],"Leveraging":[61],"PyTorch's":[62],"capabilities,":[64],"exemplifies":[66],"modularity":[67],"user-centric":[70],"approach.":[71],"It":[72],"offers":[73],"universal":[75],"interface":[76],"that":[77],"simplifies":[78],"the":[79,86,98],"user":[80],"experience":[81],"beginners":[83],"while":[84],"maintaining":[85],"flexibility":[87],"experts":[88],"require":[89],"innovation":[91],"algorithm":[93],"development.":[94],"This":[95],"equilibrium":[96],"enhances":[97],"framework's":[99],"practicality,":[100],"adaptability,":[101],"scalability,":[103],"establishing":[104],"new":[106],"standard":[107],"research.":[110],"To":[111],"delve":[112],"into":[113],"features,":[115],"we":[116],"invite":[117],"enthusiasts":[120],"explore":[122],"our":[123,130],"GitHub":[124],"repository":[125],"at":[126,133],"https://github.com/OpenRL-Lab/openrl":[127],"access":[129],"comprehensive":[131],"documentation":[132],"https://openrl-docs.readthedocs.io.":[134]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
