NVlabs / RLCC
A reinforcement learning algorithm for congestion control, together with a realistic Omnet++ network simulation environment
☆19Updated last year
Related projects: ⓘ
- 📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang …☆12Updated last year
- ☆86Updated last year
- Learning to schedule distributed resources with deep reinforcement learning.☆13Updated 4 years ago
- Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).☆57Updated last year
- This repository is a collection of machine learning models for computer networks.☆24Updated last year
- ☆12Updated 2 years ago
- Codebase for Teal (SIGCOMM 2023)☆43Updated 5 months ago
- ☆34Updated last year
- ☆19Updated last year
- Network simulator for edge computing and cloud computing☆24Updated 6 years ago
- A dataset of network topology, including the nodes/edges features and traffic matrices.☆10Updated last year
- ☆11Updated 4 years ago
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆17Updated 4 years ago
- Scheduling algorithms for deadline constrained weighted traffic in a collocated network☆13Updated 6 years ago
- Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing☆19Updated last year
- Equal-Cost MultiPath (ECMP) Implementation in ns-3☆24Updated 5 years ago
- ☆20Updated 2 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆13Updated 2 years ago
- [NeurIPS'22] Learning to Configure Computer Networks with Neural Algorithmic Reasoning☆12Updated last year
- ns3-gym for multi-agent☆26Updated 2 years ago
- Link Scheduling using Graph Neural Networks, IEEE TWC☆30Updated 6 months ago
- Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL age…☆22Updated last year
- ☆21Updated 2 years ago
- Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.☆18Updated 2 years ago
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆55Updated last year
- [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆36Updated 4 months ago
- Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"☆28Updated 2 years ago
- knowledgedefinednetworking / Unveiling-the-potential-of-GNN-for-network-modeling-and-optimization-in-SDN☆50Updated last year
- TMgen is a tool for generating spatial, temporal, and spatio-temporal traffic matrices.☆25Updated 4 years ago
- Machine Learning for Dynamic Resource Allocation in Network Function Virtualization☆50Updated 10 months ago