{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:52:07Z","timestamp":1779324727684,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"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":["IIS-1718738"],"award-info":[{"award-number":["IIS-1718738"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2021,4,15]]},"DOI":"10.1109\/jiot.2020.3041204","type":"journal-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T21:28:01Z","timestamp":1606771681000},"page":"6519-6535","source":"Crossref","is-referenced-by-count":37,"title":["A Bisection Reinforcement Learning Approach to 3-D Indoor Localization"],"prefix":"10.1109","volume":"8","author":[{"given":"Fei","family":"Dou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingyang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun-Hsi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinbo","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2014.7275492"},{"key":"ref38","article-title":"Reinforcement learning for robots using neural networks","author":"lin","year":"1993"},{"key":"ref33","article-title":"Noisy networks for exploration","author":"fortunato","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref32","first-page":"3223","article-title":"Deep Q-learning from demonstrations","author":"hester","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref31","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref30","article-title":"Prioritized experience replay","author":"schaul","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref37","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":"ref36","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref35","first-page":"3215","article-title":"Rainbow: Combining improvements in deep reinforcement learning","author":"hessel","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref34","first-page":"176","article-title":"Averaged-DQN: Variance reduction and stabilization for deep reinforcement learning","author":"anschel","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn Vol 70"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/8956757"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MASS.2014.122"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s18092869"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.02.055"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2912055"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933921"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s41044-018-0031-2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/24751839.2017.1295659"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2712560"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2957778"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.286"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2743228"},{"key":"ref27","article-title":"Hierarchical object detection with deep reinforcement learning","author":"bellver","year":"2016","journal-title":"Proc Deep Reinforcement Learn Workshop (NIPS)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2464084"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s18010168"},{"key":"ref29","first-page":"2094","article-title":"Deep reinforcement learning with double Q-learning","volume":"2","author":"van hasselt","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1806","DOI":"10.3390\/s17081806","article-title":"An RFID indoor positioning algorithm based on bayesian probability and K-nearest neighbor","volume":"17","author":"xu","year":"2017","journal-title":"SENSORS"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1089444.1089466"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.sigpro.2016.07.005","article-title":"Wireless RSSI fingerprinting localization","volume":"131","author":"yiu","year":"2017","journal-title":"Signal Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2911558"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2348543.2348578"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2010.05.010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MASS.2018.00037"},{"key":"ref22","volume":"1","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref21","first-page":"575","article-title":"Low-effort place recognition with WiFi fingerprints using deep learning","author":"nowicki","year":"2017","journal-title":"Proc Int Conf Autom"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-3014"},{"key":"ref24","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"Proc Deep Learn Neural Inf Process Syst Workshop"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628917"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989324"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.112"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","article-title":"Mastering the game of Go with deep neural networks and tree search","volume":"529","author":"silver","year":"2016","journal-title":"Nature"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1163"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6488907\/9398162\/9272985-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/9398162\/09272985.pdf?arnumber=9272985","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:40Z","timestamp":1652194420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9272985\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,15]]},"references-count":44,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2020.3041204","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,15]]}}}