Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International Conference on Web Services (ICWS) 2023

基于深度强化学习的部分计算任务卸载延迟优化

[IEEE TMC 2020] "Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach" and [IEEE GlobeCom 2023] "A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Co…

Paper publised in TNSM entitled "DRL-Based Long-Term Resource Planning for Task Offloading Policies in Multi-Server Edge Computing Networks"

Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks

Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs

This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

This code explores two Markov Decision Processes (MDPs) and implements three algorithms: value iteration, policy iteration, and Q-learning.

An introduction to Markov decision process (MDP) and two algorithms that solve MDPs (value iteration & policy iteration) along with their Python implementations.

Dynamic Public Resource Allocation based on Human Mobility Prediction (UbiComp'20)

Simulation code for the paper "Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning"

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

code for paper 《Advertising Impression Resource Allocation Strategy with Multilevel Budget Constraint DQN in Real-Time Bidding》

Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"

Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021

Code repository for the AAMAS 2022 paper "Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment"

Simulation code and additional documents for Intelligent Resource Allocation in Wireless Communications Systems

Simulation Codes for Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment

Fair Resource Allocation in Federated Learning (ICLR '20)

Dynamic resource allocation in 5G networks by using the game theory