Pinned Repositories
AFLDDPG
* Wu Q, Wang S, Fan P, et al. Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing[J]. arXiv preprint arXiv:2304.02832, 2023. 链接： https://arxiv.org/abs/2304.02832 代码： https://github.com/qiongwu86/AFLDDPG
DRL-Based-Long-Term-Resource-Planning
Paper publised in TNSM entitled "DRL-Based Long-Term Resource Planning for Task Offloading Policies in Multi-Server Edge Computing Networks"
DRL-for-edge-computing
DRL-MEC
Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing
DRL-TOBS
Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.
drone-network-onos-and-mininet
[12] Prioritization Based Task Offloading in UAV-Assisted Edge Networks 作者：Kalinagac O, Gür G, Alagöz F. 出处：Sensors, 2023 摘要：在流量激增、覆盖问题和低延迟要求等苛刻的操作条件下，地面网络可能无法为用户和应用程序提供预期的服务水平。此外，当自然灾害或自然灾害发生时，现有网络基础设施可能崩溃，给服务区域的应急通信带来巨大挑战。为了在瞬态高服务负载情况下提供无线连接并促进容量提升，需要替代或辅助快速部署网络。由于其高机动性和灵活性，无人驾驶飞行器(UAV)网络非常适合此类需求。在这项工作中，我们考虑由配备无线接入点的无人机组成的边缘网络。这些软件定义的网络节点在边缘到云
edge-offloading
computation offloading in mobile edge computing using Reinforcement Learning
Game-Theoretic-Deep-Reinforcement-Learning
Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
Graph-reinforcement-learning-literature
This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience of researchers
PeerJ-Computer-Science
yyds-xtt's Repositories
yyds-xtt/DMQTO
Deep Meta Q-Learning based Task Offloading
yyds-xtt/DRL4EC
yyds-xtt/DRL-Energy-Management
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
yyds-xtt/MEC_offloading-1
Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
yyds-xtt/MEC_simulator
Differential Pricing-based Task Offloading for Delay-Sensitive IoT Applications in Mobile Edge Computing System
yyds-xtt/graph-meta-rl-for-amod
Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
yyds-xtt/multi_level_computing_env
A Deep Learning Approach for Task Offloading in Multi-UAV Aided Mobile Edge Computing
yyds-xtt/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
yyds-xtt/PTF_code
Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer
yyds-xtt/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
yyds-xtt/SourceCodes_Fog-Edge_Mangement
Fog/Edge management: A survey of source codes
yyds-xtt/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
yyds-xtt/Conference-Accepted-Paper-List
Some Conferences' accepted papers list (e.g., AAAI, IJCAI, KDD)
yyds-xtt/DGN
DGN Code
yyds-xtt/DiscoNet
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
yyds-xtt/DRL-GNN
yyds-xtt/FCMNet
yyds-xtt/FMLP-Rec
yyds-xtt/Globecom2020-ResourceAllocationGNN
Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications
yyds-xtt/GNN-RL-Model-Compression
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
yyds-xtt/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
yyds-xtt/GTA-RL
Attention based model for learning to solve different routing problems
yyds-xtt/maab
Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
yyds-xtt/MAIC
The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
yyds-xtt/MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
yyds-xtt/MAPTF_code
Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
yyds-xtt/modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
yyds-xtt/PEC
, we model the edge caching problem in MSN network as a reinforcement learning problemwith Asynchronous Actor-Critic Agent (A3C) algorithm, where UE requires contents by redundant requestsfollowing an optimal strategy to maximize users’ rewards.
yyds-xtt/rl_multi_agent_passage
Repository containing RL environment, model and trainer for GNN demo for ICRA 2022 paper "A Framework for Real-World Multi-Robot Systems\\Running Decentralized GNN-Based Policies"
yyds-xtt/TorchGRL
TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments for IV 2022.