Happymic / SkyNetRL-Multi-Agent-Reinforcement-Learning-for-Space-Air-Ground-NetworksLinks
A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This project simulates and trains intelligent agents to coordinate satellites, UAVs, and ground stations for efficient network deployment.
☆32Updated last month
Alternatives and similar repositories for SkyNetRL-Multi-Agent-Reinforcement-Learning-for-Space-Air-Ground-Networks
Users that are interested in SkyNetRL-Multi-Agent-Reinforcement-Learning-for-Space-Air-Ground-Networks are comparing it to the libraries listed below
Sorting:
- [TSC'23 - HRL-ACRA] Implementation of our paper "Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarc…☆29Updated 4 months ago
- 论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本☆26Updated 3 years ago
- Source code for the papers "Deep-reinforcement learning for fair distributed dynamic spectrum access in wireless networks" and "Deep‐rein…☆12Updated 2 years ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆68Updated 2 years ago
- UAV offloading based on QMIX☆15Updated last year
- Deep Q Network-based scheduling over two-hop wireless channels.☆16Updated 4 years ago
- Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication☆131Updated 4 years ago
- Decision making using Reinforcement Learning☆23Updated 5 years ago
- ☆91Updated 6 months ago
- Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing☆22Updated 3 months ago
- The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"☆90Updated 2 years ago
- ☆18Updated last year
- Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks☆31Updated 3 years ago
- ☆56Updated 2 years ago
- Use of reinforcement learning and deep reinforcement learning algorithms to optimize the UAV based cellular network for higher throughput…☆21Updated 5 months ago
- Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"☆19Updated last year
- MEC task offloading(change ddpg into SAC)☆20Updated 3 years ago
- Source Code for paper "Joint Computing, Pushing and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learnin…☆65Updated 6 months ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆39Updated 2 years ago
- This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in het…☆73Updated 5 years ago
- ☆21Updated 3 years ago
- ☆44Updated 10 months ago
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆31Updated last year
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆31Updated 3 years ago
- ZWLab23 / Delay-and-Battery-Degradation-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV☆15Updated last year
- Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'☆90Updated 2 years ago
- Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".☆100Updated 2 years ago
- Evaluation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Co…☆52Updated 6 months ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆15Updated last year
- A TD3 APPROACH IN OFFLOADING TRAFFIC FOR UAV-ASSISTED MOBILE EDGE COMPUTING☆42Updated 2 years ago