# AFNANAMIN/Resource-Allocation-using-deeprl

<https://repo.masters-masters.com/en/repos/AFNANAMIN/Resource-Allocation-using-deeprl>

[Home](https://repo.masters-masters.com/en) › [AFNANAMIN](https://repo.masters-masters.com/en/owners/AFNANAMIN) › [Resource-Allocation-using-deeprl](https://repo.masters-masters.com/en/repos/AFNANAMIN/Resource-Allocation-using-deeprl)

AFNANAMIN/Resource-Allocation-using-deeprl has 115 stars on GitHub. Its RepoMasters card: Prototype tier. Deep Reinforcement Learning Based Dynamic Resource…

| Field | Value |
| --- | --- |
| Owner | [AFNANAMIN](https://repo.masters-masters.com/en/owners/AFNANAMIN) |
| Stars | 115 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, hacktoberfest, reinforcement-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AFNANAMIN/Resource-Allocation-using-deeprl](https://github.com/AFNANAMIN/Resource-Allocation-using-deeprl) |

## Repository

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

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.