{"id":"https://openalex.org/W4399455041","doi":"https://doi.org/10.48550/arxiv.2406.03978","title":"Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning","display_name":"Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning","publication_year":2024,"publication_date":"2024-06-06","ids":{"openalex":"https://openalex.org/W4399455041","doi":"https://doi.org/10.48550/arxiv.2406.03978"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2406.03978","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.03978","pdf_url":"https://arxiv.org/pdf/2406.03978","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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.03978","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020388200","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0002-9581-1337"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100890738","display_name":"Jian Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Jian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112903785","display_name":"Cheng Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Cheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020191306","display_name":"Zhengtao Cao","orcid":"https://orcid.org/0000-0002-4697-1844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Zhengtao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102757394","display_name":"Youpeng Zhao","orcid":"https://orcid.org/0000-0002-4610-3545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Youpeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019491338","display_name":"Zhenbin Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Zhenbin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425908","display_name":"Meng Meng","orcid":"https://orcid.org/0000-0001-5453-5754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Meng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393027","display_name":"Wenjun Wang","orcid":"https://orcid.org/0000-0002-3325-7481"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenjun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057318866","display_name":"Zhaofeng He","orcid":"https://orcid.org/0000-0002-3433-8435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Zhaofeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078141810","display_name":"Houqiang Li","orcid":"https://orcid.org/0000-0003-2188-3028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Houqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100581103","display_name":"Xia Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Xia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022523600","display_name":"Lanxiao Huang","orcid":"https://orcid.org/0009-0005-6366-4781"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Lanxiao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5020388200"],"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.7663000226020813,"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":0.7663000226020813,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.7559999823570251,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.680400013923645,"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/honor","display_name":"Honor","score":0.8800127506256104},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7428068518638611},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.6761773824691772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3994695842266083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34450721740722656},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3282459080219269},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.19985994696617126},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.11836490035057068}],"concepts":[{"id":"https://openalex.org/C2779438500","wikidata":"https://www.wikidata.org/wiki/Q27070331","display_name":"Honor","level":2,"score":0.8800127506256104},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7428068518638611},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.6761773824691772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3994695842266083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34450721740722656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3282459080219269},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.19985994696617126},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.11836490035057068}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2406.03978","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.03978","pdf_url":"https://arxiv.org/pdf/2406.03978","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":"text"},{"id":"doi:10.48550/arxiv.2406.03978","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2406.03978","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.03978","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.03978","pdf_url":"https://arxiv.org/pdf/2406.03978","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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399455041.pdf","grobid_xml":"https://content.openalex.org/works/W4399455041.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2476169496","https://openalex.org/W4244591268","https://openalex.org/W4205253569","https://openalex.org/W2595572529","https://openalex.org/W1687359194","https://openalex.org/W2360048061","https://openalex.org/W2592404050","https://openalex.org/W2483767897"],"abstract_inverted_index":{"Games":[0],"are":[1,148],"widely":[2],"used":[3],"as":[4],"research":[5,119],"environments":[6],"for":[7,37,56,81],"multi-agent":[8],"reinforcement":[9],"learning":[10],"(MARL),":[11],"but":[12],"they":[13],"pose":[14],"three":[15],"significant":[16],"challenges:":[17],"limited":[18],"customization,":[19],"high":[20],"computational":[21],"demands,":[22],"and":[23,45,94,112,138,145],"oversimplification.":[24],"To":[25],"address":[26],"these":[27,97],"issues,":[28],"we":[29,122],"introduce":[30],"the":[31,38,110,118,129],"first":[32],"publicly":[33],"available":[34,149],"map":[35,133],"editor":[36,134],"popular":[39],"mobile":[40],"game":[41],"Honor":[42,51,130],"of":[43,52,114,131],"Kings":[44,53,132],"design":[46],"a":[47],"lightweight":[48],"environment,":[49],"Mini":[50,61],"(Mini":[54],"HoK),":[55],"researchers":[57,126],"to":[58,68,101,135],"conduct":[59],"experiments.":[60],"HoK":[62],"is":[63],"highly":[64],"efficient,":[65],"allowing":[66],"experiments":[67],"be":[69],"run":[70],"on":[71,90],"personal":[72],"PCs":[73],"or":[74],"laptops":[75],"while":[76],"still":[77],"presenting":[78],"sufficient":[79],"challenges":[80],"existing":[82],"MARL":[83,92,115],"algorithms.":[84],"We":[85],"have":[86,99],"tested":[87],"our":[88],"environment":[89],"common":[91],"algorithms":[93,98],"demonstrated":[95],"that":[96,124],"yet":[100],"find":[102],"optimal":[103],"solutions":[104],"within":[105,117],"this":[106],"environment.":[107],"This":[108],"facilitates":[109],"dissemination":[111],"advancement":[113],"methods":[116],"community.":[120],"Additionally,":[121],"hope":[123],"more":[125],"will":[127],"leverage":[128],"develop":[136],"innovative":[137],"scientifically":[139],"valuable":[140],"new":[141],"maps.":[142],"Our":[143],"code":[144],"user":[146],"manual":[147],"at:":[150],"https://github.com/tencent-ailab/mini-hok.":[151]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2024-06-08T00:00:00"}
