# DamianoBrunori/MultiUAV-OpenAIGym

<https://repo.masters-masters.com/en/repos/DamianoBrunori/MultiUAV-OpenAIGym>

[Home](https://repo.masters-masters.com/en) › [DamianoBrunori](https://repo.masters-masters.com/en/owners/DamianoBrunori) › [MultiUAV-OpenAIGym](https://repo.masters-masters.com/en/repos/DamianoBrunori/MultiUAV-OpenAIGym)

DamianoBrunori/MultiUAV-OpenAIGym has 148 stars on GitHub. Its RepoMasters card: Prototype tier. An OpenaAIGym-based framework allowing to test hybrid…

| Field | Value |
| --- | --- |
| Owner | [DamianoBrunori](https://repo.masters-masters.com/en/owners/DamianoBrunori) |
| Stars | 148 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | path-planning, reinforcement-learning, multi-agent, multi-uav, uav, openai, openai-gym |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DamianoBrunori/MultiUAV-OpenAIGym](https://github.com/DamianoBrunori/MultiUAV-OpenAIGym) |

## Repository

An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.

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.