ImanRHT / QECO

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.

Date Created 2023-07-31 (about a year ago)

Commits 193 (last one a day ago)

Stargazers 204 (35 this week)

Watchers 12 (0 this week)

Forks 41

License mit

Ranking

RepositoryStats indexes 630,459 repositories, of these ImanRHT/QECO is ranked #192,636 (69th percentile) for total stargazers, and #185,859 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #35,042/128,655.

ImanRHT/QECO is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#175/379), edge-computing (#59/148)

Other Information

ImanRHT/QECO has 2 open pull requests on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 0 closed issues.

There have been 1 release, the latest one was published on 2024-12-30 (2 months ago) with the name QECO_V1.0.

Homepage URL: https://arxiv.org/pdf/2311.02525

All Topics

dqn mdp mec d3qn ddqn offloading lstm-networks deep-q-network edge-computing resource-management network-optimization performance-evaluation markov-decision-processes deep-reinforcement-learning

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193 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

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updated: 2025-03-23 @ 02:58pm, id: 672957541 / R_kgDOKByEZQ