# hxh2002/Silent-Wing

<https://repo.masters-masters.com/en/repos/hxh2002/Silent-Wing>

[Home](https://repo.masters-masters.com/en) › [hxh2002](https://repo.masters-masters.com/en/owners/hxh2002) › [Silent-Wing](https://repo.masters-masters.com/en/repos/hxh2002/Silent-Wing)

hxh2002/Silent-Wing has 105 stars on GitHub. Its RepoMasters card: Prototype tier. This project is a research project based on Deep Reinforcement Learning…

| Field | Value |
| --- | --- |
| Owner | [hxh2002](https://repo.masters-masters.com/en/owners/hxh2002) |
| Stars | 105 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hxh2002/Silent-Wing](https://github.com/hxh2002/Silent-Wing) |

## Repository

This project is a research project based on Deep Reinforcement Learning (DRL), aiming to solve the resource coordination problem in UAV-Aided IoT scenarios, with a special focus on balancing covert communication and energy efficiency.

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.