# davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

<https://repo.masters-masters.com/repos/davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning>

[Accueil](https://repo.masters-masters.com/) › [davidtw0320](https://repo.masters-masters.com/owners/davidtw0320) › [Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning](https://repo.masters-masters.com/repos/davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning)

davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning, dépôt open source à 374 étoiles sur GitHub. Carte Alpha de…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [davidtw0320](https://repo.masters-masters.com/owners/davidtw0320) |
| Étoiles | 374 |
| Forks | 107 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Aucune |
| Création | 2020 |
| Sujets | resource-allocation, edge-servers, ddpg |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning](https://github.com/davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning) |

## Fiche du dépôt

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

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.