TCP congestion control with multiagent reinforcement and transfer learning
TCP congestion control, although prevalently used in network technologies, is not optimal
for video streaming applications. High throughput and low latency requirements of video …
for video streaming applications. High throughput and low latency requirements of video …
Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning
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 …
leveraging emerging deep learning, to develop an experience-driven approach, which …
Improving TCP congestion control with machine intelligence
In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC …
Symbolic distillation for learned TCP congestion control
Recent advances in TCP congestion control (CC) have achieved tremendous success with
deep reinforcement learning (RL) approaches, which use feedforward neural networks (NN) …
deep reinforcement learning (RL) approaches, which use feedforward neural networks (NN) …
DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention
With the development of the Internet of Things (IoT) and 5G, there are ubiquitous smart
devices and network functions providing emerging network services efficiently and optimally …
devices and network functions providing emerging network services efficiently and optimally …
Astraea: Towards Fair and Efficient Learning-based Congestion Control
Recent years have witnessed a plethora of learning-based solutions for congestion control
(CC) that demonstrate better performance over traditional TCP schemes. However, they fail …
(CC) that demonstrate better performance over traditional TCP schemes. However, they fail …
RLCC: practical learning-based congestion control for the internet
Z Xia, J Wu, L Wu, J Yuan, J Zhang… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
With the networks becoming complex, traditional congestion control protocols face
increasing challenges in providing high-quality services for users. Traditional TCP and its …
increasing challenges in providing high-quality services for users. Traditional TCP and its …
Towards fair and efficient learning-based congestion control
Recent years have witnessed a plethora of learning-based solutions for congestion control
(CC) that demonstrate better performance over traditional TCP schemes. However, they fail …
(CC) that demonstrate better performance over traditional TCP schemes. However, they fail …
MACC: Cross-layer multi-agent congestion control with deep reinforcement learning
J Bai, T Zhang, G Xie - arXiv preprint arXiv:2206.01972, 2022 - arxiv.org
Congestion Control (CC), as the core networking task to efficiently utilize network capacity,
received great attention and widely used in various Internet communication applications …
received great attention and widely used in various Internet communication applications …
A multi-objective reinforcement learning perspective on internet congestion control
The advent of new network architectures has resulted in the rise of network applications with
different network performance requirements: live video streaming applications require low …
different network performance requirements: live video streaming applications require low …