{"id":"https://openalex.org/W2735632552","doi":"https://doi.org/10.1109/ijcnn.2017.7966381","title":"Multi-robot cooperative planning by consensus Q-learning","display_name":"Multi-robot cooperative planning by consensus Q-learning","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735632552","doi":"https://doi.org/10.1109/ijcnn.2017.7966381","mag":"2735632552"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039345236","display_name":"Arup Kumar Sadhu","orcid":"https://orcid.org/0000-0002-9471-3786"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arup Kumar Sadhu","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Jadavpur University, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Jadavpur University, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011939964","display_name":"Amit Konar","orcid":"https://orcid.org/0000-0002-9474-5956"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Konar","raw_affiliation_strings":["Department of Electronics and Telecommunication Engineering, Jadavpur University, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Telecommunication Engineering, Jadavpur University, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037623995","display_name":"Bonny Banerjee","orcid":"https://orcid.org/0000-0002-0428-1044"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bonny Banerjee","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, The University of Memphis, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, The University of Memphis, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081696143","display_name":"Atulya K. Nagar","orcid":"https://orcid.org/0000-0001-5549-6435"},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Atulya K. Nagar","raw_affiliation_strings":["Mathematics and Computer Science Department, Liverpool Hope University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Department, Liverpool Hope University, United Kingdom","institution_ids":["https://openalex.org/I44852757"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039345236"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":null,"apc_paid":null,"fwci":0.4144,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65221736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"4158","last_page":"4164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9983000159263611,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8139804601669312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595458388328552},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6495386362075806},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6160733699798584},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.5339592099189758},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5274883508682251},{"id":"https://openalex.org/keywords/fictitious-play","display_name":"Fictitious play","score":0.5261561274528503},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.5020904541015625},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4789488911628723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4426635503768921},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42044273018836975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16004514694213867}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8139804601669312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595458388328552},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6495386362075806},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6160733699798584},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.5339592099189758},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5274883508682251},{"id":"https://openalex.org/C145071142","wikidata":"https://www.wikidata.org/wiki/Q1411116","display_name":"Fictitious play","level":3,"score":0.5261561274528503},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.5020904541015625},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4789488911628723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4426635503768921},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42044273018836975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16004514694213867},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W206679605","https://openalex.org/W1424654272","https://openalex.org/W1513468570","https://openalex.org/W1515851193","https://openalex.org/W1520713786","https://openalex.org/W1560096125","https://openalex.org/W1587589241","https://openalex.org/W1626155273","https://openalex.org/W1941722086","https://openalex.org/W2088129908","https://openalex.org/W2099618002","https://openalex.org/W2103151730","https://openalex.org/W2103561211","https://openalex.org/W2105033536","https://openalex.org/W2116772004","https://openalex.org/W2120846115","https://openalex.org/W2125889667","https://openalex.org/W2129117416","https://openalex.org/W2160643434","https://openalex.org/W2162666142","https://openalex.org/W2164637474","https://openalex.org/W2202983866","https://openalex.org/W2406697300","https://openalex.org/W2497473826","https://openalex.org/W3106753174","https://openalex.org/W4234761190","https://openalex.org/W6630520071","https://openalex.org/W6635376945","https://openalex.org/W6675356487","https://openalex.org/W6684470913","https://openalex.org/W6713833016"],"related_works":["https://openalex.org/W2728657731","https://openalex.org/W1853631319","https://openalex.org/W2092374696","https://openalex.org/W2481143976","https://openalex.org/W4214835929","https://openalex.org/W2236801283","https://openalex.org/W4226086326","https://openalex.org/W1499304752","https://openalex.org/W1607392272","https://openalex.org/W3125633875"],"abstract_inverted_index":{"Multi-robot":[0,26],"cooperation":[1,27],"entails":[2],"planning":[3,174],"by":[4,52],"multiple":[5,67,118],"robots":[6,56,81,90],"for":[7],"a":[8,86,124,184],"common":[9],"objective,":[10],"where":[11],"each":[12,97],"robot/agent":[13],"actuates":[14],"upon":[15],"the":[16,19,24,35,46,50,53,78,93,100,110,113,145,152,159,166,171],"environment-based":[17],"on":[18],"sensory":[20],"information":[21],"received":[22],"from":[23],"environment.":[25],"employing":[28],"equilibrium-based":[29],"reinforcement":[30,62],"learning":[31,63],"is":[32,128,163,176],"optimal":[33,94,114],"in":[34,64,96,156,165],"sense":[36],"of":[37,45,49,61,66,69,99,112,144,158],"system":[38],"resource":[39],"(time":[40],"and/or":[41],"energy)":[42],"utilization,":[43],"because":[44],"prior":[47],"adaption":[48],"environment":[51],"robots.":[54],"Unfortunately,":[55],"cannot":[57],"enjoy":[58],"such":[59],"benefit":[60],"presence":[65],"types":[68],"equilibria":[70],"(here":[71],"Nash":[72,133],"equilibrium":[73,95,115,134],"or":[74],"correlated":[75,140],"equilibrium).":[76],"In":[77,169],"above":[79],"perspective,":[80],"need":[82],"to":[83,108],"adapt":[84],"with":[85],"strategy,":[87],"so":[88],"that":[89,123],"can":[91],"select":[92],"step":[98],"learning.":[101],"The":[102,142],"paper":[103],"proposes":[104],"consensus-based":[105,147,173],"multi-agent":[106,148],"Q-learning":[107,149],"address":[109],"bottleneck":[111],"selection":[116],"among":[117],"types.":[119],"An":[120],"analysis":[121],"reveals":[122],"consensus":[125],"(joint":[126],"action)":[127],"coordination":[129],"type":[130],"pure":[131,138],"strategy":[132,139],"as":[135,137,183],"well":[136],"equilibrium.":[141],"superiority":[143],"proposed":[146,172],"algorithm":[150,175],"over":[151],"traditional":[153],"reference":[154],"algorithms":[155],"terms":[157],"average":[160],"reward":[161],"collection":[162],"shown":[164],"experimental":[167],"section.":[168],"addition,":[170],"also":[177],"verified":[178],"considering":[179],"multi-robot":[180],"stick-carrying":[181],"problem":[182],"benchmark.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}