tsinghua-fib-lab / DRL-urban-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

tsinghua-fib-lab
tsinghua-fib-lab
Date Created 2023-01-02 (2 years ago)
Commits 32 (last one 3 days ago)
Stargazers 214 (0 this week)
Watchers 3 (0 this week)
Forks 41
License mit
Ranking

RepositoryStats indexes 601,131 repositories, of these tsinghua-fib-lab/DRL-urban-planning is ranked #173,487 (71st percentile) for total stargazers, and #430,031 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,963/17,763.

tsinghua-fib-lab/DRL-urban-planning is also tagged with popular topics, for these it's ranked: reinforcement-learning (#505/1349),  graph-neural-networks (#152/594)

Other Information

tsinghua-fib-lab/DRL-urban-planning has Github issues enabled, there is 1 open issue and 19 closed issues.

There have been 1 release, the latest one was published on 2023-07-23 (about a year ago) with the name Release v0.1.

Homepage URL: https://rdcu.be/dlRPZ

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

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

updated: 2025-01-04 @ 12:01pm, id: 584252438 / R_kgDOItL8Fg