gelbyGo's starred repositories
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Super-mario-bros-A3C-pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
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.
MECOptimalOffloading
Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
Learning-Based-Queuing-Delay-Aware-Task-Offloading-in-Collaborative-Vehicular-Networks
Evoluationay Algorithms Project: Learning-Based Queuing Delay-Aware Task Offloading in Collaborative Vehicular Networks
cs4365-task-offload-framework
A framework for IoT devices to offload tasks to the cloud, resulting in efficient computation and decreased cloud costs.
Task-Offloading-MEC-NOMA
Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh. Technol., vol. 72, no. 9, pp. 12332 - 12337, Sep. 2023 by V. Kumar, M. F. Hanif, M. Juntti, and L.-N. Tran
NOMA-MEC-Offloading
Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, published in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.