# sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation

<https://repo.masters-masters.com/en/repos/sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation>

[Home](https://repo.masters-masters.com/en) › [sanjinzhi](https://repo.masters-masters.com/en/owners/sanjinzhi) › [Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation](https://repo.masters-masters.com/en/repos/sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation)

sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation has 106 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [sanjinzhi](https://repo.masters-masters.com/en/owners/sanjinzhi) |
| Stars | 106 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation](https://github.com/sanjinzhi/Multiagent-reinforcement-learning-algorithms-for-multiple-UAV-confrontation) |

## Repository

This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".

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

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