{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T12:30:22Z","timestamp":1776861022096,"version":"3.51.2"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Ontario Trillium Scholarship"},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["STPGP-506890"],"award-info":[{"award-number":["STPGP-506890"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swarmio Media"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/tai.2021.3105087","type":"journal-article","created":{"date-parts":[[2021,8,16]],"date-time":"2021-08-16T16:37:05Z","timestamp":1629131825000},"page":"519-527","source":"Crossref","is-referenced-by-count":25,"title":["Fair Server Selection in Edge Computing With $Q$-Value-Normalized Action-Suppressed Quadruple Q-Learning"],"prefix":"10.1109","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1915-0757","authenticated-orcid":false,"given":"Alaa Eddin","family":"Alchalabi","sequence":"first","affiliation":[{"name":"University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3973-4445","authenticated-orcid":false,"given":"Shervin","family":"Shirmohammadi","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0344-1712","authenticated-orcid":false,"given":"Shady","family":"Mohammed","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sorin","family":"Stoian","sequence":"additional","affiliation":[{"name":"Swarmio Inc., Whitby, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karthigesu","family":"Vijayasuganthan","sequence":"additional","affiliation":[{"name":"Swarmio Inc., Whitby, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","first-page":"2613","article-title":"Double Q-learning","author":"hado hasselt","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref10","first-page":"982","article-title":"Optimizing admission control while ensuring quality of service in multimedia networks via reinforcement learning","author":"brown","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","article-title":"Q-learning with uniformly bounded variance: Large discounting is not a barrier to fast learning","author":"devraj","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICTEmSys.2019.8695963"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICON.2003.1266180"},{"key":"ref15","first-page":"511","article-title":"Empirically measuring the QoS sensitivity of interactive online game players","author":"zander","year":"0","journal-title":"Proc Australian Telecommun Netw Appl Conf"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1117\/12.775145"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CGames.2014.6934147"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964301"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2538721"},{"key":"ref28","article-title":"Biggest esports live events in history","author":"navarre","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1167838.1167860"},{"key":"ref27","article-title":"Most played games ever, ranked by peak concurrent players","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2968120.2987743"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-014-0367-z"},{"key":"ref29","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1730836.1730863"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2018.00060"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1700308"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/NetGames.2014.7008964"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IWMN.2019.8804987"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3391868"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2015.7288411"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2597176.2578261"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP.2016.7752575"},{"key":"ref24","first-page":"325","article-title":"Fairness in learning: Classic and contextual bandits","volume":"29","author":"joseph","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref23","first-page":"1437","article-title":"A comprehensive survey on safe reinforcement learning","volume":"16","author":"garc\u00eda","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref26","article-title":"Two guinness world records titles broken!","author":"convict","year":"2020"},{"key":"ref25","first-page":"3562","article-title":"Learn what not to learn: Action elimination with deep reinforcement learning","author":"zahavy","year":"0","journal-title":"Proc Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/9647881\/09514428.pdf?arnumber=9514428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:09:57Z","timestamp":1755911397000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9514428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":31,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tai.2021.3105087","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]}}}