{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:05:01Z","timestamp":1766484301561,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T00:00:00Z","timestamp":1718755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T00:00:00Z","timestamp":1718755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,19]]},"DOI":"10.1109\/iwqos61813.2024.10682855","type":"proceedings-article","created":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T17:41:00Z","timestamp":1727372460000},"page":"1-10","source":"Crossref","is-referenced-by-count":3,"title":["Learning-Based Transport Control Adapted to Non-Stationarity for Real-Time Communication"],"prefix":"10.1109","author":[{"given":"Jingshun","family":"Du","sequence":"first","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Chaokun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Tao","family":"Tang","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Wenyu","family":"Qu","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2017.2703615"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3012426.3022184"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.17487\/RFC8298"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419195"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3447993.3483259"},{"article-title":"Gemini: An ensemble framework for bandwidth estimation in web real-time communications","volume-title":"ACM MMSys","author":"Tianrun","key":"ref6"},{"key":"ref7","first-page":"9881","article-title":"Non-stationary transformers: Exploring the stationarity in time series forecasting","volume":"35","author":"Liu","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"International conference on machine learning","author":"Fujimoto"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2934872.2934898"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2910017.2910608"},{"key":"ref11","first-page":"459","article-title":"Stochastic forecasts achieve high throughput and low delay over cellular networks","volume-title":"10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13)","author":"Winstein"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15986-3_3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref14","article-title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting","volume":"32","author":"Li","year":"2019","journal-title":"Advances in neural information processing systems"},{"article-title":"Deep transformer models for time series forecasting: The influenza prevalence case","year":"2020","author":"Wu","key":"ref15"},{"article-title":"Performance analysis of google congestion control algorithm for webrtc","year":"2019","author":"Viveros","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108033"},{"key":"ref18","first-page":"3050","article-title":"A deep reinforcement learning perspective on internet congestion control","volume-title":"International Conference on Machine Learning","author":"Jay"},{"article-title":"Reinforcement learning for bandwidth estimation and congestion control in real-time communications","year":"2019","author":"Fang","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/HPSR57248.2023.10147986"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3216456"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3458305.3479970"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463010"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.637"},{"article-title":"Distilling the knowledge in a neural network","year":"2015","author":"Hinton","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5040"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00938"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1441"},{"article-title":"Pretraining in deep reinforcement learning: A survey","year":"2022","author":"Xie","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5220\/0010227301070118"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3542637.3542648"},{"article-title":"Dataset: Hsdpa-bandwidth logs for mobile http streaming scenarios","year":"2012","author":"Riiser","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208123"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3394938"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33778-0_11"},{"article-title":"Efficient transformers in reinforcement learning using actor-learner distillation","year":"2021","author":"Parisotto","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.494"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MIPRO.2015.7160422"},{"article-title":"iproute2","year":"2003","author":"Kuznetsov","key":"ref39"},{"article-title":"Proximal policy optimization algorithms","year":"2017","author":"Schulman","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2785956.2787486"},{"article-title":"Chip placement with deep reinforcement learning","year":"2020","author":"Mirhoseini","key":"ref42"}],"event":{"name":"2024 IEEE\/ACM 32nd International Symposium on Quality of Service (IWQoS)","start":{"date-parts":[[2024,6,19]]},"location":"Guangzhou, China","end":{"date-parts":[[2024,6,21]]}},"container-title":["2024 IEEE\/ACM 32nd International Symposium on Quality of Service (IWQoS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10682818\/10682608\/10682855.pdf?arnumber=10682855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T04:39:28Z","timestamp":1727411968000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10682855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,19]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/iwqos61813.2024.10682855","relation":{},"subject":[],"published":{"date-parts":[[2024,6,19]]}}}