mshokrnezhad / DRL_GNNLinks
The code shows how we can combine the ideas of deep reinforcement learning and graph neural networks
☆30Updated last year
Alternatives and similar repositories for DRL_GNN
Users that are interested in DRL_GNN are comparing it to the libraries listed below
Sorting:
- 一个基于图神经网络的强化学习网络资源分配模型☆32Updated 3 years ago
- ☆37Updated 2 years ago
- [IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Reso…☆35Updated 8 months ago
- [TSC'23 - HRL-ACRA] Implementation of our paper "Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarc…☆30Updated 8 months ago
- This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience o…☆22Updated 3 years ago
- PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optim…☆147Updated 3 years ago
- ☆14Updated last year
- ☆15Updated 2 years ago
- This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.☆34Updated 8 months ago
- An implementation for CVRP problem with A3C+Attention mechanism and GCN☆18Updated 5 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆19Updated 4 years ago
- [ICC'21 - DRL-SFCP] Implementation of our paper "DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning", …☆38Updated 8 months ago
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆38Updated 6 years ago
- Vehicular trajectories processing for Didi GAIA Open Data Set☆58Updated 2 years ago
- Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-ProvidProject: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers☆60Updated 5 years ago
- TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation System☆43Updated last year
- The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Rein…☆14Updated 11 months ago
- NFV simulation experiment to deploy service function chains☆25Updated 7 years ago
- Some classical edge server placement algorithms are implemented.☆26Updated 3 years ago
- A Mobile edge computing server placement algorithm, written from scratch for 5g server placement depending upon various KPIs across a ar…☆12Updated 3 years ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆96Updated 5 years ago
- Official Pytorch implementation of Soft-DRGN (IEEE trans on Mobile Computing 2022)☆43Updated 3 years ago
- This is the code for paper "Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach"☆28Updated 2 years ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆15Updated last year
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆90Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆26Updated 3 years ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆52Updated 2 years ago
- Code implementation for our paper "Decentralized Routing and Radio Resource Allocation in Wireless Ad Hoc Networks via Graph Reinforcemen…☆32Updated last year
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆125Updated 3 years ago
- ☆40Updated 4 years ago