The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

HPC Resource Allocation System

Managing Kubernetes Quota with confidence

The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)

Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.

A Python package for automatic and optimized resource scheduling

Machine Learning for Dynamic Resource Allocation in Network Function Virtualization

WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks

云边协同- collaborative inference📚工作汇总 📚 Collaborative Inference Work Summary

Code for our paper on doing resource allocation with graph neural networks

(Caveats! Dirty Code!!) Solving some Non-Orthogonal Multiple Access (NOMA) resource allocation problem, allocating Tx power properly at downlink to maximize the sum rate, by using DQN

Project regarding Resource allocation using RL

Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024

Decentralized Intelligent Resource Allocation for LoRaWAN Networks

Attempt to reimplement the VTC2023-Spring 'Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications' paper