Machine Learning
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[Review] A Deep Reinforcement Learning Perspective on Internet Congestion Control - 인터넷 혼잡제어 관점에서의 강화학습Machine Learning/ETC 2019. 12. 30. 15:40
* [ICML'19] "A Deep Reinforcement Learning Perspective on Internet Congestion Control" 논문을 한국어로 정리한 포스트입니다. 참고 논문 N. Jay, N. Rotman, B. Godfrey, M. Schapira, A. Tamar, "A deep reinforcement learning perspective on Internet congestion control", Proc. 36th Int. Conf. Mach. Learn., vol. 97, pp. 3050-3059, 2019. [ 논문 ] [ PPT ] [ Github ] A Deep Reinforcement Learning Perspective on Internet Congesti..
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Key papers in Congestion ControlMachine Learning/ETC 2019. 12. 30. 15:32
* Congestion Control ( 혼잡 제어 ) 의 주요 논문들을 정리한 포스트입니다. Cubic Ha, S., Rhee, I., and Xu, L. Cubic: a new tcp-friendly high-speed tcp variant. ACM SIGOPS operating systems review, 42(5):64–74, 2008. [ 논문 ] PCC Dong, M., Li, Q., Zarchy, D., Godfrey, P. B., and Schapira, M. Pcc: Re-architecting congestion control for consistent high performance. In NSDI, volume 1, pp. 2, 2015. (PCC Allegro) [ 논문 ] Dong..