# Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation

<https://repo.masters-masters.com/en/repos/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation>

[Home](https://repo.masters-masters.com/en) › [Engineer1999](https://repo.masters-masters.com/en/owners/Engineer1999) › [Double-Deep-Q-Learning-for-Resource-Allocation](https://repo.masters-masters.com/en/repos/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation)

Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation has 264 stars on GitHub. Its RepoMasters card: Alpha tier. Reproduce results of the research…

| Field | Value |
| --- | --- |
| Owner | [Engineer1999](https://repo.masters-masters.com/en/owners/Engineer1999) |
| Stars | 264 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation](https://github.com/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation) |

## Repository

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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