AlirezaShamsoshoara / Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
☆68Updated 4 years ago
Alternatives and similar repositories for Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task:
Users that are interested in Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task are comparing it to the libraries listed below
- AlirezaShamsoshoara / Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearningAn Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent…☆66Updated 4 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆38Updated 2 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆106Updated last year
- ☆37Updated 3 years ago
- UAV trajectory design (DQN)☆18Updated 3 years ago
- ☆14Updated 3 years ago
- Simulation and documentations of Multiple UAV TPC optimization☆45Updated 5 years ago
- 论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本☆25Updated 3 years ago
- This repository contains an implementation of a UAV-based task offloading model using the Multi-Agent Deep Deterministic Policy Gradient …☆103Updated 3 months ago
- The objectives is to maximize the coverage rate in a specific area.☆16Updated 3 years ago
- ☆14Updated 2 years ago
- Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles☆15Updated 2 years ago
- UAV-based MEC to maximize user throughput via reinforcement learning☆98Updated 6 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆49Updated 2 years ago
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆89Updated 2 years ago
- Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'☆84Updated 2 years ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆31Updated last year
- 采用DDQN算法进行二维网格无人机的数据收集DH（多智能体）和区域覆盖CPP（单智能体）的算法，深度学习框架采用pytorch☆31Updated this week
- ☆17Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆91Updated 3 years ago
- Deep Q Network-based scheduling over two-hop wireless channels.☆15Updated 4 years ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆61Updated last year
- Mobile edge computing networks based on Unmanned Aerial Vehicles☆40Updated 3 years ago
- This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.☆34Updated 3 years ago
- During our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor fr…☆35Updated 11 months 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。☆50Updated 2 years ago
- Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. A…☆15Updated 2 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆99Updated last year
- The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT D…☆78Updated last year
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated last year