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Iroko: A Framework to Prototype Reinforcement Learning for Data Center
  Traffic Control

Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

24 December 2018
Fabian Ruffy
Michael Przystupa
Ivan Beschastnikh
ArXivPDFHTML

Papers citing "Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control"

3 / 3 papers shown
Title
Machine Learning Empowered Intelligent Data Center Networking: A Survey
Machine Learning Empowered Intelligent Data Center Networking: A Survey
Bo-wen Li
Ting Wang
Peng Yang
Mingsong Chen
Shui Yu
Mounir Hamdi
AI4CE
16
4
0
28 Feb 2022
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning
  with Average and Discounted Rewards
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique
Paul Weng
Matthieu Zimmer
FaML
OffRL
22
84
0
18 Aug 2020
MVFST-RL: An Asynchronous RL Framework for Congestion Control with
  Delayed Actions
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
V. Sivakumar
Olivier Delalleau
Tim Rocktaschel
Alexander H. Miller
Heinrich Küttler
Nantas Nardelli
Michael G. Rabbat
Joelle Pineau
Sebastian Riedel
10
36
0
09 Oct 2019
1