{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T09:12:36Z","timestamp":1771665156306,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Hong Kong Research Grant Council","doi-asserted-by":"publisher","award":["GRF 152150\/19E"],"award-info":[{"award-number":["GRF 152150\/19E"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007567","name":"City University of Hong Kong Special Fund","doi-asserted-by":"publisher","award":["9329031"],"award-info":[{"award-number":["9329031"]}],"id":[{"id":"10.13039\/100007567","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/twc.2022.3185545","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T19:42:46Z","timestamp":1656531766000},"page":"10621-10632","source":"Crossref","is-referenced-by-count":6,"title":["Smooth Deep Reinforcement Learning for Power Control for Spectrum Sharing in Cognitive Radios"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8929-8127","authenticated-orcid":false,"given":"Lujuan","family":"Dang","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8020-9071","authenticated-orcid":false,"given":"Wanli","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0462-3999","authenticated-orcid":false,"given":"Chi K.","family":"Tse","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8279-0899","authenticated-orcid":false,"given":"Francis C. M.","family":"Lau","sequence":"additional","affiliation":[{"name":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5028-5839","authenticated-orcid":false,"given":"Shiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/app11041884"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2021.103014"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178446"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"5891","DOI":"10.1109\/TSP.2008.2005085","article-title":"A reproducing kernel Hilbert space framework for information-theoretic learning","volume":"56","author":"xu","year":"2008","journal-title":"IEEE Trans Signal Process"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/9780470608593"},{"key":"ref30","first-page":"8535","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","author":"han","year":"2018","journal-title":"Proc 32nd Conf Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2496584"},{"key":"ref36","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.02.012"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2912754"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2147784"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4095-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3043009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2933417"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2879433"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2945951"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2019.2896986"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2981320"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.1500356WC"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref19","author":"bertsekas","year":"2005","journal-title":"Dynamic Programming and Optimal Control"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2809581"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1049\/iet-wss.2011.0055"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2809722"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/T-WC.2008.071465"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2003.810314"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2760281"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2831240"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF01098870"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2428224"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/T-WC.2008.070890"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/49.840203"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2008.070073"},{"key":"ref20","first-page":"486","article-title":"A theoretical analysis of deep q-learning","author":"fan","year":"2020","journal-title":"Proc Learn Dyn Control"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933973"},{"key":"ref21","author":"bertsekas","year":"2019","journal-title":"REINFORCEMENT LEARNING AND OPTIMAL CONTROL"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.33564\/IJEAST.2020.v04i12.054"},{"key":"ref24","first-page":"2613","article-title":"Double Q-learning","author":"hasselt","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935255"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2930247"},{"key":"ref43","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-015-1420-1"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/9978751\/09810823.pdf?arnumber=9810823","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:26:18Z","timestamp":1733883978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9810823\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":43,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/twc.2022.3185545","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}