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

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

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

Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation, dépôt open source à 264 étoiles sur GitHub. Carte Alpha de RepoMasters. Langage : Python.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Engineer1999](https://repo.masters-masters.com/owners/Engineer1999) |
| Étoiles | 264 |
| Forks | 57 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Aucune |
| Création | 2020 |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation](https://github.com/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation) |

## Fiche du dépôt

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

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.