# Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization

<https://repo.masters-masters.com/en/repos/Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization>

[Home](https://repo.masters-masters.com/en) › [Project-Group-BTP](https://repo.masters-masters.com/en/owners/Project-Group-BTP) › [Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization](https://repo.masters-masters.com/en/repos/Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization)

Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [Project-Group-BTP](https://repo.masters-masters.com/en/owners/Project-Group-BTP) |
| Stars | 112 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | deep-reinforcement-learning, gdsf-cache, hybrid-optimization-methods, maddpg, mappo, masac, matd3, mobile-edge-computing, multi-agent-reinforcement-learning, multi-uav |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization](https://github.com/Project-Group-BTP/Multi-UAV-Mobile-Edge-Computing-Hybrid-Optimization) |

## Repository

Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (including attention mechanisms) with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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