Deep reinforcement learning for mobile edge computing

This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.

Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles

Path planning for UAVs in the presence of threat zones using convex optimization.

Mobile edge computing networks based on Unmanned Aerial Vehicles

A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem

A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem

UAV trajectory optimization with the average AoI and energy as the bjective functions

A Deep Learning Approach to UAV Path Planning

Python implementation of DDQN multi-UAV data harvesting

PSO UAV PATH PLANNING

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, …

Unmanned Combat Aerial Vehicles Path Planning Using a Novel Probability Density Model Based on Artificial Bee Colony Algorithm

UAV-based MEC to maximize user throughput via reinforcement learning

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

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

Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput.

Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. Additional improvement over the other setup by the use of Dee…

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

Trajectory design and bandwidth assignment for UAV_GBS intergated network

Repository of code for journal paper "Positioning and power optimization for UAV-assisted networks in the presence of eavesdroppers: A multi-armed bandit approach"

Unmanned Air Vehicles (UAV) Simulator with Machine Learning

This is the source code using deep Q learning for calculate UAV resource allocation

A* based MATLAB-STK Tool for UAV mission planning

genetic algorithm for UAV maritime search and rescue (SAR) coverage path planning (CPP) problem