created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively

Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'

This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".

[JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

Helper scripts and programs for trajectories

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

The code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"

An Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)

基于深度强化学习的MEC计算卸载与资源分配

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

UAV-based MEC to maximize user throughput via reinforcement learning

使用Drl来解决多智能体卸载问题

无线供电移动边缘计算网络的在线计算卸载深度强化学习

联邦学习和边缘计算

Simulate one server for one user, use PPO.

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

BUPT大创项目-无人机群智系统研发

An Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)