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 resour…

Reinforcement learning with Proximal Policy Optimization (https://arxiv.org/abs/1707.06347)

This is the official implementation of Multi-Agent PPO (MAPPO).

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Using DDPG agent to control UAV system with energy efficiency

part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

使用Drl来解决多智能体卸载问题

Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing

Deep reinforcement learning for mobile edge computing

power saving for mobile edge computing

reproduction of some papers about MEC

reproduction of some papers about MEC

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

UAV-based MEC to maximize user throughput via reinforcement learning

基于深度强化学习的MEC计算卸载与资源分配

UAV-based MEC to maximize user throughput via reinforcement learning

Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf

使用Drl来解决多智能体卸载问题

基于深度强化学习的部分计算任务卸载延迟优化

It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Netw…

论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本

During our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor from NTHU.

[TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning

Simulation and documentations of Multiple UAV TPC optimization