CSharpYDS

SSV2RayTrojanSSRClash

科学上网，ss, ssr, v2ray, trojan, clash, clashr，翻墙机场推荐

awesome-chatgpt-project

1.chatGPT注册 2.chatGPT成品项目整理 3.高效使用chatGPT的小技巧 ↓演示网站

task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

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.

OpenCommLab

This is the repository for collecting and summarizing open-source datasets and tools for communication networks.

offloading-optimization-and-resource-optimization-base-on-mobile-edge-computing-net

基于边缘计算网络的卸载优化及资源优化

ML-RL-simulations

A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations

caching

implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing

Incentive-based-Probability-Update-and-Strategy-Selection

Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.

Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning

Vehicular-Trajectories-Processing-for-Didi-Open-Data

Vehicular trajectories processing for Didi GAIA Open Data Set

HDLOA

Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing

PeerJ-Computer-Science

DRL-CDC

This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"

MAEMTODCMECN

Mobility Aware Energy Minimal Task Offloading with Delay Constraints in Mobile Edge Computing Environment

drl

Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks

ML-RL-PureEdgeSim

PureEdgeSim Extension

IGNITE

Task-Offloading-in-Vfc-Assisted-Platoons

MIMO-D2D

code

MAMO-Deep-Reinforcement-Learning

Workload-Aware-Scheduling-of-Multiple-Criticality-Real-Time-Applications-in-Vehicular-Edge-Computing

MIMO-NOMA_AoI_GA

By-AFLDDPG

vehicular_marl

multi agent deep reinforcement learning in vehicular networks

MultiLevelFL

It is for the work Globecom 2019, Toward Cooperative Caching for vehicular with multi-level Federate Reinforcement Learning

Vehicle-selection-for-C-V2X

Dynamic-Edge-Server-Placement-for-Computation-Offloading-in-Vehicular-Edge-Computing-

FedRep

Vehicle-selection