Google colab Jupyter Notebook for training

AndreaVidali / Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

MIT License

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Google colab Jupyter Notebook for training #20

Closed jowinjohnchemban closed 3 years ago

jowinjohnchemban commented 4 years ago

This may help to setup environment and run training_main.py in google colab thus to save on local computational resources Then download models and place in appropriate directories in local machine to run the testing_main.py

jowinjohnchemban commented 3 years ago

Please #hacktoberfest Your PR has not yet been accepted by a maintainer. A maintainer can accept your PR by merging it, adding the "hacktoberfest-accepted" label to it, or approving it.

AndreaVidali commented 3 years ago

Thank you @jowinjohnchemban for your contribution and sorry for being late on accepting your PR.

Awesome job! :)

jowinjohnchemban commented 3 years ago

Thank You ☺️ Find me on, LinkedIn: https://www.linkedin.com/in/jowinjohnchemban/ Twitter: https://www.twitter.com/jowinchemban/