Original paper

Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning

Volume: 37, Issue: 6, Pages: 1325 - 1336
Published: Jun 1, 2019
Abstract
In this paper, we aim to study networking problems from a whole new perspective by leveraging emerging deep learning, to develop an experience-driven approach, which enables a network or a protocol to learn the best way to control itself from its own experience (e.g., runtime statistics data), just as a human learns a skill. We present design, implementation and evaluation of a deep reinforcement learning (DRL)-based control framework, DRL-CC...
Paper Details
Title
Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning
Published Date
Jun 1, 2019
Volume
37
Issue
6
Pages
1325 - 1336
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