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 191 (last one 4 days ago)

Stargazers 100 (2 this week)

Watchers 8 (0 this week)

Forks 22

License mit

Ranking

RepositoryStats indexes 601,131 repositories, of these ImanRHT/QECO is ranked #296,373 (51st percentile) for total stargazers, and #247,745 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #55,300/120,802.

ImanRHT/QECO is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#225/368), edge-computing (#84/140)

Other Information

ImanRHT/QECO has Github issues enabled, there are 7 open issues and 0 closed issues.

There have been 1 release, the latest one was published on 2024-12-30 (7 days 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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191 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2025-01-06 @ 02:38pm, id: 672957541 / R_kgDOKByEZQ