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 (about a year ago)
Commits 27 (last one about a month ago)
Stargazers 152 (1 this week)
Watchers 3 (0 this week)
Forks 31
License mit
Ranking

RepositoryStats indexes 523,840 repositories, of these tsinghua-fib-lab/DRL-urban-planning is ranked #201,577 (62nd percentile) for total stargazers, and #394,351 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,586/14,471.

tsinghua-fib-lab/DRL-urban-planning is also tagged with popular topics, for these it's ranked: reinforcement-learning (#547/1166),  graph-neural-networks (#188/507)

Other Information

There have been 1 release, the latest one was published on 2023-07-23 (10 months ago) with the name Release v0.1.

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

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Recent Commit History

27 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: 2024-05-30 @ 05:34pm, id: 584252438 / R_kgDOItL8Fg