# WangYichi1/Computation-offloading-based-on-DQN

<https://repo.masters-masters.com/en/repos/WangYichi1/Computation-offloading-based-on-DQN>

[Home](https://repo.masters-masters.com/en) › [WangYichi1](https://repo.masters-masters.com/en/owners/WangYichi1) › [Computation-offloading-based-on-DQN](https://repo.masters-masters.com/en/repos/WangYichi1/Computation-offloading-based-on-DQN)

WangYichi1/Computation-offloading-based-on-DQN has 123 stars on GitHub. Its RepoMasters card: Prototype tier. Joint strategy design on edge computing…

| Field | Value |
| --- | --- |
| Owner | [WangYichi1](https://repo.masters-masters.com/en/owners/WangYichi1) |
| Stars | 123 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [WangYichi1/Computation-offloading-based-on-DQN](https://github.com/WangYichi1/Computation-offloading-based-on-DQN) |

## Repository

Joint strategy design on edge computing offloading based on deep reinforcement learning

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.