{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:18:04Z","timestamp":1772205484043,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation (NSFC) of China","award":["62172008"],"award-info":[{"award-number":["62172008"]}]},{"name":"Research Grants Council (RGC) of Hong Kong","award":["TRS T41-603\/20-R"],"award-info":[{"award-number":["TRS T41-603\/20-R"]}]},{"name":"Research Grants Council (RGC) of Hong Kong","award":["GRF-16215119 and 16213621"],"award-info":[{"award-number":["GRF-16215119 and 16213621"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,3,28]]},"DOI":"10.1145\/3492321.3519593","type":"proceedings-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T14:28:18Z","timestamp":1648477698000},"page":"218-235","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":45,"title":["Multi-objective congestion control"],"prefix":"10.1145","author":[{"given":"Yiqing","family":"Ma","sequence":"first","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Han","family":"Tian","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Xudong","family":"Liao","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Junxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Weiyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Kai","family":"Chen","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology"}]},{"given":"Xin","family":"Jin","sequence":"additional","affiliation":[{"name":"Peking University"}]}],"member":"320","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405892"},{"key":"e_1_3_2_1_2_1","volume-title":"Dynamic Weights in Multi-Objective Deep Reinforcement Learning. In International Conference on Machine Learning. 11--20","author":"Abels Axel","year":"2019","unstructured":"Axel Abels , Diederik Roijers , Tom Lenaerts , Ann Now\u00e9 , and Denis Steckelmacher . 2019 . Dynamic Weights in Multi-Objective Deep Reinforcement Learning. In International Conference on Machine Learning. 11--20 . Axel Abels, Diederik Roijers, Tom Lenaerts, Ann Now\u00e9, and Denis Steckelmacher. 2019. Dynamic Weights in Multi-Objective Deep Reinforcement Learning. In International Conference on Machine Learning. 11--20."},{"key":"e_1_3_2_1_3_1","volume-title":"Dynamic Weights in Multi-Objective Deep Reinforcement Learning. arXiv preprint arXiv:1809.07803","author":"Abels Axel","year":"2018","unstructured":"Axel Abels , Diederik M Roijers , Tom Lenaerts , Ann Now\u00e9 , and Denis Steckelmacher . 2018. Dynamic Weights in Multi-Objective Deep Reinforcement Learning. arXiv preprint arXiv:1809.07803 ( 2018 ). Axel Abels, Diederik M Roijers, Tom Lenaerts, Ann Now\u00e9, and Denis Steckelmacher. 2018. Dynamic Weights in Multi-Objective Deep Reinforcement Learning. arXiv preprint arXiv:1809.07803 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3232755.3232783"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Lawrence S Brakmo Sean W O'Malley and Larry L Peterson. 1994. TCP Vegas: New techniques for congestion detection and avoidance. Number 4. ACM.  Lawrence S Brakmo Sean W O'Malley and Larry L Peterson. 1994. TCP Vegas: New techniques for congestion detection and avoidance. Number 4. ACM.","DOI":"10.1145\/190809.190317"},{"key":"e_1_3_2_1_6_1","volume-title":"OpenAI gym. arXiv preprint arXiv:1606.01540","author":"Brockman Greg","year":"2016","unstructured":"Greg Brockman , Vicki Cheung , Ludwig Pettersson , Jonas Schneider , John Schulman , Jie Tang , and Wojciech Zaremba . 2016. OpenAI gym. arXiv preprint arXiv:1606.01540 ( 2016 ). Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. OpenAI gym. arXiv preprint arXiv:1606.01540 (2016)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3012426.3022184"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230551"},{"key":"e_1_3_2_1_9_1","volume-title":"Meta-Learning for Multi-objective Reinforcement Learning. arXiv preprint arXiv:1811.03376","author":"Chen Xi","year":"2018","unstructured":"Xi Chen , Ali Ghadirzadeh , M\u00e5rten Bj\u00f6rkman , and Patric Jensfelt . 2018. Meta-Learning for Multi-objective Reinforcement Learning. arXiv preprint arXiv:1811.03376 ( 2018 ). Xi Chen, Ali Ghadirzadeh, M\u00e5rten Bj\u00f6rkman, and Patric Jensfelt. 2018. Meta-Learning for Multi-objective Reinforcement Learning. arXiv preprint arXiv:1811.03376 (2018)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/1234242.1234243"},{"key":"e_1_3_2_1_11_1","unstructured":"Ron Davies. 2016. 5G Network Technology: Putting Europe at the Leading Edge. EPRS European Parliamentary Research Service Members' Research Service.  Ron Davies. 2016. 5G Network Technology: Putting Europe at the Leading Edge. EPRS European Parliamentary Research Service Members' Research Service."},{"key":"e_1_3_2_1_12_1","volume-title":"12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15). 395--408.","author":"Dong Mo","unstructured":"Mo Dong , Qingxi Li , Doron Zarchy , P Brighten Godfrey , and Michael Schapira . 2015. {PCC} : Re-architecting Congestion Control for Consistent High Performance . In 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15). 395--408. Mo Dong, Qingxi Li, Doron Zarchy, P Brighten Godfrey, and Michael Schapira. 2015. {PCC}: Re-architecting Congestion Control for Consistent High Performance. In 12th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 15). 395--408."},{"key":"e_1_3_2_1_13_1","volume-title":"15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 343--356.","author":"Dong Mo","unstructured":"Mo Dong , Tong Meng , Doron Zarchy , Engin Arslan , Yossi Gilad , Brighten Godfrey , and Michael Schapira . 2018. {PCC} Vivace : Online-Learning Congestion Control . In 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 343--356. Mo Dong, Tong Meng, Doron Zarchy, Engin Arslan, Yossi Gilad, Brighten Godfrey, and Michael Schapira. 2018. {PCC} Vivace: Online-Learning Congestion Control. In 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 343--356."},{"key":"e_1_3_2_1_14_1","first-page":"659","article-title":"Virtual reality network with selective distribution and updating of data to reduce bandwidth requirements","volume":"5","author":"Durward James","year":"1997","unstructured":"James Durward , Jonathan Levine , Michael Nemeth , Jerry Prettegiani , and Ian T Tweedie . 1997 . Virtual reality network with selective distribution and updating of data to reduce bandwidth requirements . US Patent 5 , 659 ,691. James Durward, Jonathan Levine, Michael Nemeth, Jerry Prettegiani, and Ian T Tweedie. 1997. Virtual reality network with selective distribution and updating of data to reduce bandwidth requirements. US Patent 5,659,691.","journal-title":"US Patent"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Sally Floyd Tom Henderson Andrei Gurtov etal 1999. The NewReno modification to TCP's fast recovery algorithm. (1999).  Sally Floyd Tom Henderson Andrei Gurtov et al. 1999. The NewReno modification to TCP's fast recovery algorithm. (1999).","DOI":"10.17487\/rfc2582"},{"key":"e_1_3_2_1_16_1","volume-title":"Understanding networked multimedia: applications and technology","author":"Fluckiger Fran\u00e7ois","unstructured":"Fran\u00e7ois Fluckiger . 1995. Understanding networked multimedia: applications and technology . Prentice Hall International (UK) Ltd . Fran\u00e7ois Fluckiger. 1995. Understanding networked multimedia: applications and technology. Prentice Hall International (UK) Ltd."},{"key":"e_1_3_2_1_17_1","volume-title":"15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 267--282.","author":"Fouladi Sadjad","unstructured":"Sadjad Fouladi , John Emmons , Emre Orbay , Catherine Wu , Riad S Wahby , and Keith Winstein . 2018. Salsify: low-latency network video through tighter integration between a video codec and a transport protocol . In 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 267--282. Sadjad Fouladi, John Emmons, Emre Orbay, Catherine Wu, Riad S Wahby, and Keith Winstein. 2018. Salsify: low-latency network video through tighter integration between a video codec and a transport protocol. In 15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18). 267--282."},{"key":"e_1_3_2_1_18_1","volume-title":"Handbook of augmented reality","author":"Furht Borko","unstructured":"Borko Furht . 2011. Handbook of augmented reality . Springer Science & Business Media . Borko Furht. 2011. Handbook of augmented reality. Springer Science & Business Media."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000395"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2006.11.009"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1400097.1400105"},{"key":"e_1_3_2_1_22_1","volume-title":"2015 AAAI Fall Symposium Series.","author":"Hausknecht Matthew","year":"2015","unstructured":"Matthew Hausknecht and Peter Stone . 2015 . Deep recurrent q-learning for partially observable mdps . In 2015 AAAI Fall Symposium Series. Matthew Hausknecht and Peter Stone. 2015. Deep recurrent q-learning for partially observable mdps. In 2015 AAAI Fall Symposium Series."},{"key":"e_1_3_2_1_23_1","volume-title":"Introduction to online convex optimization. arXiv preprint arXiv:1909.05207","author":"Hazan Elad","year":"2019","unstructured":"Elad Hazan . 2019. Introduction to online convex optimization. arXiv preprint arXiv:1909.05207 ( 2019 ). Elad Hazan. 2019. Introduction to online convex optimization. arXiv preprint arXiv:1909.05207 (2019)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2939282"},{"key":"e_1_3_2_1_25_1","volume-title":"ATM Forum contribution","author":"Jain Raj","unstructured":"Raj Jain , Arjan Durresi , and Gojko Babic . 1999. Throughput fairness index: An explanation . In ATM Forum contribution , Vol. 99 . Raj Jain, Arjan Durresi, and Gojko Babic. 1999. Throughput fairness index: An explanation. In ATM Forum contribution, Vol. 99."},{"key":"e_1_3_2_1_26_1","volume-title":"International Conference on Machine Learning ICML. 3050--3059","author":"Jay Nathan","year":"2019","unstructured":"Nathan Jay , Noga Rotman , Brighten Godfrey , Michael Schapira , and Aviv Tamar . 2019 . A Deep Reinforcement Learning Perspective on Internet Congestion Control . In International Conference on Machine Learning ICML. 3050--3059 . Nathan Jay, Noga Rotman, Brighten Godfrey, Michael Schapira, and Aviv Tamar. 2019. A Deep Reinforcement Learning Perspective on Internet Congestion Control. In International Conference on Machine Learning ICML. 3050--3059."},{"key":"e_1_3_2_1_27_1","volume-title":"IEEE INFOCOM","volume":"4","author":"Jin Cheng","year":"2004","unstructured":"Cheng Jin , David X Wei , and Steven H Low . 2004 . FAST TCP: motivation, architecture, algorithms, performance . In IEEE INFOCOM 2004, Vol. 4 . IEEE, 2490--2501. Cheng Jin, David X Wei, and Steven H Low. 2004. FAST TCP: motivation, architecture, algorithms, performance. In IEEE INFOCOM 2004, Vol. 4. IEEE, 2490--2501."},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of Radiovetenskap ach kommunikation. 96--100","author":"Karlsson Gunnar","year":"1996","unstructured":"Gunnar Karlsson . 1996 . Quality requirements for multimedia network services . In Proceedings of Radiovetenskap ach kommunikation. 96--100 . Gunnar Karlsson. 1996. Quality requirements for multimedia network services. In Proceedings of Radiovetenskap ach kommunikation. 96--100."},{"key":"e_1_3_2_1_29_1","volume-title":"Audiovisual telecommunications","author":"Kenyon Nicholas D","unstructured":"Nicholas D Kenyon and C Nightingale . 1992. Audiovisual telecommunications . Chapman & Hall, Ltd. Nicholas D Kenyon and C Nightingale. 1992. Audiovisual telecommunications. Chapman & Hall, Ltd."},{"key":"e_1_3_2_1_30_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Adam Langley Alistair Riddoch Alyssa Wilk Antonio Vicente Charles Krasic Dan Zhang Fan Yang Fedor Kouranov Ian Swett Janardhan Iyengar Jeff Bailey Jeremy Dorfman Jim Roskind Joanna Kulik Patrik Westin Raman Tenneti Robbie Shade Ryan Hamilton Victor Vasiliev Wan-Teh Chang and Zhongyi Shi. 2017. The QUIC Transport Protocol: Design and Internet-Scale Deployment. In ACM SIGCOMM.  Adam Langley Alistair Riddoch Alyssa Wilk Antonio Vicente Charles Krasic Dan Zhang Fan Yang Fedor Kouranov Ian Swett Janardhan Iyengar Jeff Bailey Jeremy Dorfman Jim Roskind Joanna Kulik Patrik Westin Raman Tenneti Robbie Shade Ryan Hamilton Victor Vasiliev Wan-Teh Chang and Zhongyi Shi. 2017. The QUIC Transport Protocol: Design and Internet-Scale Deployment. In ACM SIGCOMM.","DOI":"10.1145\/3098822.3098842"},{"key":"e_1_3_2_1_32_1","volume-title":"Deep Reinforcement Learning for Multi-objective Optimization. arXiv preprint arXiv:1906.02386","author":"Li Kaiwen","year":"2019","unstructured":"Kaiwen Li , Tao Zhang , and Rui Wang . 2019. Deep Reinforcement Learning for Multi-objective Optimization. arXiv preprint arXiv:1906.02386 ( 2019 ). Kaiwen Li, Tao Zhang, and Rui Wang. 2019. Deep Reinforcement Learning for Multi-objective Optimization. arXiv preprint arXiv:1906.02386 (2019)."},{"key":"e_1_3_2_1_33_1","volume-title":"Ray rllib: A composable and scalable reinforcement learning library. arXiv preprint arXiv:1712.09381","author":"Liang Eric","year":"2017","unstructured":"Eric Liang , Richard Liaw , Robert Nishihara , Philipp Moritz , Roy Fox , Joseph Gonzalez , Ken Goldberg , and Ion Stoica . 2017. Ray rllib: A composable and scalable reinforcement learning library. arXiv preprint arXiv:1712.09381 ( 2017 ). Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, and Ion Stoica. 2017. Ray rllib: A composable and scalable reinforcement learning library. arXiv preprint arXiv:1712.09381 (2017)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341302.3342221"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TSMC.2014.2358639","article-title":"Multiobjective reinforcement learning: A comprehensive overview","volume":"45","author":"Liu Chunming","year":"2014","unstructured":"Chunming Liu , Xin Xu , and Dewen Hu . 2014 . Multiobjective reinforcement learning: A comprehensive overview . IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 , 3 (2014), 385 -- 398 . Chunming Liu, Xin Xu, and Dewen Hu. 2014. Multiobjective reinforcement learning: A comprehensive overview. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, 3 (2014), 385--398.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TSMC.2014.2358639","article-title":"Multiobjective reinforcement learning: A comprehensive overview","volume":"45","author":"Liu Chunming","year":"2014","unstructured":"Chunming Liu , Xin Xu , and Dewen Hu . 2014 . Multiobjective reinforcement learning: A comprehensive overview . IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 , 3 (2014), 385 -- 398 . Chunming Liu, Xin Xu, and Dewen Hu. 2014. Multiobjective reinforcement learning: A comprehensive overview. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, 3 (2014), 385--398.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097895.3097901"},{"key":"e_1_3_2_1_38_1","volume-title":"International conference on machine learning. 1928--1937","author":"Mnih Volodymyr","year":"2016","unstructured":"Volodymyr Mnih , Adria Puigdomenech Badia , Mehdi Mirza , Alex Graves , Timothy Lillicrap , Tim Harley , David Silver , and Koray Kavukcuoglu . 2016 . Asynchronous methods for deep reinforcement learning . In International conference on machine learning. 1928--1937 . Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. 2016. Asynchronous methods for deep reinforcement learning. In International conference on machine learning. 1928--1937."},{"key":"e_1_3_2_1_39_1","volume-title":"Ray: A distributed framework for emerging {AI} applications. In 13th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 18). 561--577.","author":"Moritz Philipp","year":"2018","unstructured":"Philipp Moritz , Robert Nishihara , Stephanie Wang , Alexey Tumanov , Richard Liaw , Eric Liang , Melih Elibol , Zongheng Yang , William Paul , Michael I Jordan , 2018 . Ray: A distributed framework for emerging {AI} applications. In 13th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 18). 561--577. Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I Jordan, et al. 2018. Ray: A distributed framework for emerging {AI} applications. In 13th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 18). 561--577."},{"key":"e_1_3_2_1_40_1","volume-title":"Multi-objective deep reinforcement learning. arXiv preprint arXiv:1610.02707","author":"Mossalam Hossam","year":"2016","unstructured":"Hossam Mossalam , Yannis M Assael , Diederik M Roijers , and Shimon Whiteson . 2016. Multi-objective deep reinforcement learning. arXiv preprint arXiv:1610.02707 ( 2016 ). Hossam Mossalam, Yannis M Assael, Diederik M Roijers, and Shimon Whiteson. 2016. Multi-objective deep reinforcement learning. arXiv preprint arXiv:1610.02707 (2016)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230553"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102427"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/49.391753"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753635"},{"key":"e_1_3_2_1_45_1","volume-title":"International conference on machine learning. 1312--1320","author":"Schaul Tom","year":"2015","unstructured":"Tom Schaul , Daniel Horgan , Karol Gregor , and David Silver . 2015 . Universal value function approximators . In International conference on machine learning. 1312--1320 . Tom Schaul, Daniel Horgan, Karol Gregor, and David Silver. 2015. Universal value function approximators. In International conference on machine learning. 1312--1320."},{"key":"e_1_3_2_1_46_1","volume-title":"International conference on machine learning. 1889--1897","author":"Schulman John","year":"2015","unstructured":"John Schulman , Sergey Levine , Pieter Abbeel , Michael Jordan , and Philipp Moritz . 2015 . Trust region policy optimization . In International conference on machine learning. 1889--1897 . John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz. 2015. Trust region policy optimization. In International conference on machine learning. 1889--1897."},{"key":"e_1_3_2_1_47_1","volume-title":"Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347","author":"Schulman John","year":"2017","unstructured":"John Schulman , Filip Wolski , Prafulla Dhariwal , Alec Radford , and Oleg Klimov . 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 ( 2017 ). John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 (2017)."},{"key":"e_1_3_2_1_48_1","volume-title":"International Conference on Technology and Distance Education","author":"Silveira Regina Melo","year":"1999","unstructured":"Regina Melo Silveira , C\u00edntia Borges Margi , LG Gonzalez , E Favero , OD Vilcachagua , Gra\u00e7a Bressan , and Wilson Vicente Ruggiero . 1999 . A Multimedia on Demand System for Distance Education . In International Conference on Technology and Distance Education , Fort Lauderdale-Florida. Regina Melo Silveira, C\u00edntia Borges Margi, LG Gonzalez, E Favero, OD Vilcachagua, Gra\u00e7a Bressan, and Wilson Vicente Ruggiero. 1999. A Multimedia on Demand System for Distance Education. In International Conference on Technology and Distance Education, Fort Lauderdale-Florida."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Anirudh Sivaraman Keith Winstein Pratiksha Thaker and Hari Balakrishnan. 2014. An experimental study of the learnability of congestion control. In ACM SIGCOMM Computer Communication Review.  Anirudh Sivaraman Keith Winstein Pratiksha Thaker and Hari Balakrishnan. 2014. An experimental study of the learnability of congestion control. In ACM SIGCOMM Computer Communication Review.","DOI":"10.1145\/2619239.2626324"},{"key":"e_1_3_2_1_50_1","unstructured":"Richard S Sutton Andrew G Barto etal 1998. Introduction to reinforcement learning. Vol. 135. MIT press Cambridge.  Richard S Sutton Andrew G Barto et al. 1998. Introduction to reinforcement learning. Vol. 135. MIT press Cambridge."},{"key":"e_1_3_2_1_51_1","unstructured":"Richard S Sutton Andrew G Barto etal 1998. Introduction to reinforcement learning. Vol. 2. MIT press Cambridge.  Richard S Sutton Andrew G Barto et al. 1998. Introduction to reinforcement learning. Vol. 2. MIT press Cambridge."},{"key":"e_1_3_2_1_52_1","volume-title":"Multimedia networking","author":"Szuprowicz Bohdan O","unstructured":"Bohdan O Szuprowicz . 1995. Multimedia networking . McGraw-Hill, Inc. Bohdan O Szuprowicz. 1995. Multimedia networking. McGraw-Hill, Inc."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2006.188"},{"key":"e_1_3_2_1_54_1","first-page":"1633","article-title":"Transfer learning for reinforcement learning domains: A survey","author":"Taylor Matthew E","year":"2009","unstructured":"Matthew E Taylor and Peter Stone . 2009 . Transfer learning for reinforcement learning domains: A survey . Journal of Machine Learning Research 10 , Jul (2009), 1633 -- 1685 . Matthew E Taylor and Peter Stone. 2009. Transfer learning for reinforcement learning domains: A survey. Journal of Machine Learning Research 10, Jul (2009), 1633--1685.","journal-title":"Journal of Machine Learning Research 10"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3224421"},{"key":"e_1_3_2_1_56_1","volume-title":"Markov decision processes","author":"White CC","unstructured":"CC White . 2001. Markov decision processes . Springer . CC White. 2001. Markov decision processes. Springer."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534169.2486020"},{"key":"e_1_3_2_1_58_1","volume-title":"Presented as part of the 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13). 459--471.","author":"Winstein Keith","unstructured":"Keith Winstein , Anirudh Sivaraman , and Hari Balakrishnan . 2013. Stochastic forecasts achieve high throughput and low delay over cellular networks . In Presented as part of the 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13). 459--471. Keith Winstein, Anirudh Sivaraman, and Hari Balakrishnan. 2013. Stochastic forecasts achieve high throughput and low delay over cellular networks. In Presented as part of the 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13). 459--471."},{"key":"e_1_3_2_1_59_1","unstructured":"Francis Y Yan Jestin Ma Greg D Hill Deepti Raghavan Riad S Wahby Philip Levis and Keith Winstein. 2018. Pantheon: the training ground for Internet congestion-control research. In 2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18).  Francis Y Yan Jestin Ma Greg D Hill Deepti Raghavan Riad S Wahby Philip Levis and Keith Winstein. 2018. Pantheon: the training ground for Internet congestion-control research. In 2018 { USENIX } Annual Technical Conference ( { USENIX } { ATC } 18)."},{"key":"e_1_3_2_1_60_1","unstructured":"Runzhe Yang Xingyuan Sun and Karthik Narasimhan. 2019. A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. In Advances in Neural Information Processing Systems. 14610--14621.  Runzhe Yang Xingyuan Sun and Karthik Narasimhan. 2019. A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. In Advances in Neural Information Processing Systems. 14610--14621."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2019.8888042"},{"key":"e_1_3_2_1_62_1","volume-title":"FlashPass: Proactive Congestion Control for Shallow-buffered WAN. In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 1--12","author":"Zeng Gaoxiong","year":"2021","unstructured":"Gaoxiong Zeng , Jianxin Qiu , Yifei Yuan , Hongqiang Liu , and Kai Chen . 2021 . FlashPass: Proactive Congestion Control for Shallow-buffered WAN. In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 1--12 . Gaoxiong Zeng, Jianxin Qiu, Yifei Yuan, Hongqiang Liu, and Kai Chen. 2021. FlashPass: Proactive Congestion Control for Shallow-buffered WAN. In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 1--12."}],"event":{"name":"EuroSys '22: Seventeenth European Conference on Computer Systems","location":"Rennes France","acronym":"EuroSys '22","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the Seventeenth European Conference on Computer Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492321.3519593","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3492321.3519593","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:08Z","timestamp":1750188668000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3492321.3519593"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":62,"alternative-id":["10.1145\/3492321.3519593","10.1145\/3492321"],"URL":"https:\/\/doi.org\/10.1145\/3492321.3519593","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]},"assertion":[{"value":"2022-03-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}