[SIGCOMM’24] RedTE: A MARL-based distributed traffic engineering system,

Official Code for "Relative Entropy Pathwise Policy Optimization"

This is the official implementation of Multi-Agent PPO (MAPPO).

[TMLR 2024] Official implementation for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"

Multi-Agent Reinforcement Learning in Graphs

DEFIANCE project: How to Simulate MARL Deployments in Realistic Network Scenarios

A beautiful, simple, clean, and responsive Jekyll theme for academics

Codebase for Teal (SIGCOMM 2023)

RL4Net Simulator - A simulator of reinforcement learning algorithm research for networking

YATES (Yet Another Traffic Engineering System)

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A playbook for systematically maximizing the performance of deep learning models.

Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

Simple python script to compress PDF

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Graph Neural Network Library for PyTorch