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TJ1812 / Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
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Versions of the Requirements #7

Open Aakj opened 3 years ago

Aakj commented 3 years ago

Can you please mention the specific versions of the requirements like TensorFlow, Keras, Cuda etc. ?

TrinhTuanHung2021 commented 2 years ago

Can you please mention the specific versions of the requirements like TensorFlow, Keras, Cuda etc. ?

I can run this model with tensorflow 1 or 2. It is easy and simple For instance, tensorflow==1.14 keras==2.0.0

btopii32 commented 2 years ago

Does the h5 file load?

TrinhTuanHung2021 commented 2 years ago

Does the h5 file load?

The h5 file is used to test the model after training

btopii32 commented 2 years ago

Errm okay sir, so how would I do the testing please? Also sir, how is the h5 file created in this project, what is its source(as in what was converted to get the h5 file format)? Or is it just a general file used in keras?

TrinhTuanHung2021 commented 2 years ago

Errm okay sir, so how would I do the testing please? Also sir, how is the h5 file created in this project, what is its source(as in what was converted to get the h5 file format)? Or is it just a general file used in keras?

In this model they don't consider about testing. However, you can refer to other models here to more information

btopii32 commented 2 years ago

Okay sir. I don't use have a gpu sir, so you think that will cause problems?

btopii32 commented 2 years ago

Could you also share some information about the source of the h5 files in general?

TrinhTuanHung2021 commented 2 years ago

Okay sir. I don't use have a gpu sir, so you think that will cause problems?

You can easily run this model without GPU

btopii32 commented 2 years ago

Could you tell me a little about the h5 file Sir?