AlessioLuciani / distributed-uav-rl-protocolLinks
An implementation of a distributed protocol for cooperative sensing and sending operations of Unmanned Aerial Vehicles (UAVs). It is built on top of TensorFlow Agents and uses reinforcement learning techniques (e.g. Deep Q-Learning, Actor-Critic) to compute ideal trajectories.
☆26Updated 4 years ago
Alternatives and similar repositories for distributed-uav-rl-protocol
Users that are interested in distributed-uav-rl-protocol are comparing it to the libraries listed below
Sorting:
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆30Updated 4 years ago
- ☆14Updated 2 years ago
- This repository contains a jupyter notebook which includes the code for Q-learning and SARSA based path planning of 2 UAVs in 2D grid env…☆11Updated 2 years ago
- ☆13Updated 4 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆20Updated 6 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆45Updated 3 years ago
- A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning…☆75Updated 4 years ago
- ☆38Updated 3 years ago
- ☆38Updated 4 years ago
- Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles☆18Updated 3 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆106Updated 4 years ago
- The objectives is to maximize the coverage rate in a specific area.☆17Updated 4 years ago
- UAV's 3D path planning algorithm with MATLAB☆20Updated 5 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆12Updated last year
- ☆10Updated 3 years ago
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆23Updated 2 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆63Updated 2 months ago
- A Deep Learning Approach to UAV Path Planning☆76Updated 7 years ago
- UAV path planning for data gathering using reinforcement learning, i.e. Q-learning.☆10Updated 2 years ago
- planning trajectories for UAVs☆12Updated 4 years ago
- Release of algorithms of TMC (10.1109/TMC.2020.2994529) and ICDSC (10.1109/ICDCS.2019.00209)☆14Updated 5 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆129Updated last year
- ☆30Updated 11 months ago
- UAV trajectory design (DQN)☆22Updated 4 years ago
- [ICCAIS 2022] Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control☆63Updated 2 years ago
- Multiagent Trajectory Optimization for UAVs using Sequential Convex Programming☆12Updated 2 years ago
- ☆32Updated 4 years ago
- This repository provides the python implementation for the paper "Decentralized Multi-Agent Formation Control via Deep Reinforcement Lear…☆20Updated 3 years ago
- Python implementation of DDQN multi-UAV data harvesting☆203Updated 3 years ago
- 基于深度强化学习技术（DRL），提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法，提出一种三维同步导航和无线电测绘（SNARM）新框架。☆67Updated 2 years ago