neardws / Game-Theoretic-Deep-Reinforcement-Learning

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

Date Created 2022-06-13 (2 years ago)

Commits 31 (last one about a year ago)

Stargazers 238 (0 this week)

Watchers 2 (0 this week)

Forks 49

License gpl-3.0

Ranking

RepositoryStats indexes 584,353 repositories, of these neardws/Game-Theoretic-Deep-Reinforcement-Learning is ranked #158,273 (73rd percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,724/116,326.

neardws/Game-Theoretic-Deep-Reinforcement-Learning is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#153/362)

Other Information

neardws/Game-Theoretic-Deep-Reinforcement-Learning has Github issues enabled, there are 9 open issues and 23 closed issues.

There have been 1 release, the latest one was published on 2023-07-10 (about a year ago) with the name Version 1.0.

Homepage URL: https://www.sciencedirect.com/science/article/abs/pii/S138376212200265X

All Topics

noma potential-game task-offloading vehicular-networks resource-allocation deep-reinforcement-learning

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

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The only known language in this repository is Python

updated: 2024-11-21 @ 07:14am, id: 502836181 / R_kgDOHfir1Q