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simulation-environment

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rht
rht commented Mar 25, 2022

Currently, it uses up all the CPUs available in a system. This causes complication with the tutorial for Windows, where a nasty workaround is needed for multiprocessing (i.e. the freeze_support).

Then, if number_processes is > 1 and on Windows, we show a warning that tells user to add freeze_support() (we pre-emptively tell the user of this issue instead of waiting for it to happen). Th

Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

  • Updated May 24, 2019
  • Python

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