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)
by FIB LAB, Tsinghua University Jupyter Notebook MIT licence 52 forks Created Jan 2023 View on GitHub
- Stars
- 313
- 3% of tsinghua-fib-lab's stars
- Rank
- #190,230
- of 851,990 repos, top 23%
- In Jupyter Notebook
- #4,050
- of 21,671 repos, top 19%
Among 851,990 repos
250–400 stars: 77,396 repos, including DRL-urban-planning
top 50%top 10%top 1%top 0.1%
Stars along the bottom, and repos in each band on a log scale
Quick stats
- Next rank
- +1 star to reach #189,691
- Next milestone
- +43 stars to reach the top 20%
- Popular
- One of 490,648 repos with 100+ stars
- Yearly average
- 81 stars a year since Jan 2023