A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
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Updated
Apr 9, 2024 - Jupyter Notebook
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
An application that tests the possibilities of using WebXR in spatial planning
This repository contains all the necessary code used to develop the shark and ray conservation plan developed for WILDOCEANS. This is currently a LIVE project, so the code may still change.
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