{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:50:41Z","timestamp":1781797841122,"version":"3.54.5"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS 2304863,CNS 2339774"],"award-info":[{"award-number":["CNS 2304863,CNS 2339774"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-23-1-2505"],"award-info":[{"award-number":["N00014-23-1-2505"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.23919\/acc60939.2024.10644320","type":"proceedings-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T17:56:19Z","timestamp":1725558979000},"page":"56-61","source":"Crossref","is-referenced-by-count":2,"title":["Solving Two-Player General-Sum Game Between Swarms"],"prefix":"10.23919","author":[{"given":"Mukesh","family":"Ghimire","sequence":"first","affiliation":[{"name":"School of Engineering, Matter, Transport, and Energy, Arizona State University,Tempe,AZ,USA,85287"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Engineering, Matter, Transport, and Energy, Arizona State University,Tempe,AZ,USA,85287"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenlong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Manufacturing Systems and Networks, Arizona State University,Mesa,AZ,USA,85212"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Engineering, Matter, Transport, and Energy, Arizona State University,Tempe,AZ,USA,85287"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Engineering, Matter, Transport, and Energy, Arizona State University,Tempe,AZ,USA,85287"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2020.00036"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2009.2024997"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-013-9349-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/1059712307082088"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2008.080914"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2016.7526653"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1748-3190\/ab49a4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3175404"},{"key":"ref9","first-page":"423","article-title":"Multiagent learning","author":"Tuyls","year":"2013","journal-title":"Multiagent Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160219"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2307\/1999343"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025364227563"},{"key":"ref13","article-title":"The expressive power of neural networks: A view from the width","volume":"30","author":"Lu","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3031237"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2006.882941"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2022.3176797"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561949"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7997-1_8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1003814"},{"key":"ref20","first-page":"1039","article-title":"Nash q-learning for general-sum stochastic games","volume":"4","author":"Hu","year":"2003","journal-title":"Journal of machine learning research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/1350486X.2022.2136727"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF00929443"},{"key":"ref23","author":"Mnih","year":"2013","journal-title":"Playing atari with deep reinforcement learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/0112033"},{"key":"ref25","article-title":"arwheel, newaijj, and volume-on max","author":"Knight","year":"2023","journal-title":"drvinceknight\/nashpy: v0.0.40"}],"event":{"name":"2024 American Control Conference (ACC)","location":"Toronto, ON, Canada","start":{"date-parts":[[2024,7,10]]},"end":{"date-parts":[[2024,7,12]]}},"container-title":["2024 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10644130\/10644150\/10644320.pdf?arnumber=10644320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:37:56Z","timestamp":1725687476000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10644320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":25,"URL":"https:\/\/doi.org\/10.23919\/acc60939.2024.10644320","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]}}}