Reinforcement Learning for Datacenter Congestion Control

Reinforcement Learning for Datacenter Congestion Control

18 February 2021

Yuval Shpigelman

Gal Dalal

Amit Mandelbaum

Doron Haritan Kazakov

Benjamin Fuhrer

Papers citing "Reinforcement Learning for Datacenter Congestion Control"

7 / 7 papers shown

Title
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 65 349 0 20 Apr 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 77 17 0 09 Mar 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 94 1,811 0 13 Dec 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 66 540 0 28 May 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 46 315 0 19 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 245 18,685 0 20 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 212 13,174 0 09 Sep 2015