Work

A Deep Reinforcement Learning Perspective on Internet Congestion Control

Year: 2019

Type: conference-paper

Source: International Conference on Machine Learning

Authors: Nathan Jay, Noga H. Rotman, Brighten Godfrey, Michael Schapira, Aviv Tamar

Institutions: University of Illinois Urbana-Champaign, Hebrew University of Jerusalem, University of California, Berkeley

Language: English

Topic: Network Traffic and Congestion Control

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2946348792

FWCI: 25.01

Cites: 20

Cited by: 224

Related to: 10