# farismismar/Deep-Reinforcement-Learning-for-5G-Networks

<https://repo.masters-masters.com/en/repos/farismismar/Deep-Reinforcement-Learning-for-5G-Networks>

[Home](https://repo.masters-masters.com/en) › [farismismar](https://repo.masters-masters.com/en/owners/farismismar) › [Deep-Reinforcement-Learning-for-5G-Networks](https://repo.masters-masters.com/en/repos/farismismar/Deep-Reinforcement-Learning-for-5G-Networks)

farismismar/Deep-Reinforcement-Learning-for-5G-Networks has 174 stars on GitHub. Its RepoMasters card: Prototype tier. Code for my publication: Deep…

| Field | Value |
| --- | --- |
| Owner | [farismismar](https://repo.masters-masters.com/en/owners/farismismar) |
| Stars | 174 |
| Forks | 89 |
| 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 | [farismismar/Deep-Reinforcement-Learning-for-5G-Networks](https://github.com/farismismar/Deep-Reinforcement-Learning-for-5G-Networks) |

## Repository

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

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

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