AndreaVidali / Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Date Created 2019-03-17 (5 years ago)
Commits 51 (last one 3 years ago)
Stargazers 439 (4 this week)
Watchers 8 (0 this week)
Forks 148
License mit
Ranking

RepositoryStats indexes 620,786 repositories, of these AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control is ranked #103,489 (83rd percentile) for total stargazers, and #249,435 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #2,257/18,544.

AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control is also tagged with popular topics, for these it's ranked: deep-reinforcement-learning (#101/375)

Other Information

AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control has 1 open pull request on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 18 open issues and 18 closed issues.

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Recent Commit History

0 commits on the default branch (master) since jan '22

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Issue History

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The primary language is Jupyter Notebook but there's also others...

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updated: 2025-02-24 @ 05:45pm, id: 176153505 / R_kgDOCn_joQ