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
☆61Updated 3 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…☆65Updated 4 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆96Updated 10 months ago
- ☆22Updated 2 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆32Updated 2 years ago
- 论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本☆23Updated 3 years ago
- ☆35Updated 3 years ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆24Updated last year
- ☆14Updated 3 years ago
- This repository contains an implementation of a UAV-based task offloading model using the Multi-Agent Deep Deterministic Policy Gradient …☆81Updated last week
- UVA trajectory design (DQN)☆13Updated 3 years ago
- The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning☆59Updated 4 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☆92Updated 6 years ago
- Simulation and documentations of Multiple UAV TPC optimization☆43Updated 4 years ago
- The objectives is to maximize the coverage rate in a specific area.☆16Updated 3 years ago
- ☆18Updated last year
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆84Updated last year
- Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'☆74Updated 2 years ago
- ☆27Updated last year
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆75Updated last year
- Deep Q Network-based scheduling over two-hop wireless channels.☆13Updated 3 years ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆51Updated last year
- 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。☆41Updated last year
- During our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor fr…☆33Updated 8 months ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆72Updated 4 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 Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated 11 months ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆84Updated 3 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆44Updated 2 years ago