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

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

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

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…

RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, …

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

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

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…

Python implementation of DDQN multi-UAV data harvesting

基于深度强化学习的部分计算任务卸载延迟优化

Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System

使用Drl来解决多智能体卸载问题

Code for Data Offloading in UAV-assisted Multi-access Edge Computing Systems: A Resource-based Pricing and User Risk-awareness Approach paper https://www.mdpi.com/1424-8220/20/8/2434/pdf

Helper scripts and programs for trajectories

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

基于深度强化学习的MEC计算卸载与资源分配

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

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

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'

Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".

Simulation and documentations of Multiple UAV TPC optimization

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

DRL-based path planner for real quadrotor

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