DRL-urban-planning
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
What is DRL-urban-planning?
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Is DRL-urban-planning open source?
DRL-urban-planning is an open-source project. It is released under the MIT license.
Is DRL-urban-planning free?
Yes. DRL-urban-planning is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/tsinghua-fib-lab-drl-urban-planning.html)
