# ImanRHT/QECO

<https://repo.masters-masters.com/en/repos/ImanRHT/QECO>

[Home](https://repo.masters-masters.com/en) › [ImanRHT](https://repo.masters-masters.com/en/owners/ImanRHT) › [QECO](https://repo.masters-masters.com/en/repos/ImanRHT/QECO)

ImanRHT/QECO has 290 stars on GitHub. Its RepoMasters card: Alpha tier. A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning…

| Field | Value |
| --- | --- |
| Owner | [ImanRHT](https://repo.masters-masters.com/en/owners/ImanRHT) |
| Stars | 290 |
| Forks | 55 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | deep-reinforcement-learning, lstm-networks, edge-computing, d3qn, ddqn, deep-q-network, dqn, network-optimization, performance-evaluation, mdp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ImanRHT/QECO](https://github.com/ImanRHT/QECO) |

## Repository

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) \| This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

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

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