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A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

License: MIT License

C# 43.01% ASP 56.99%
artificial-neural-networks deep-learning evolutionary-algorithms genetic-algorithm machine-learning neural-networks self-driving-cars

applying_eanns's People

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applying_eanns's Issues

Question

If I train the cars in one track and then use those cars on a new track, will they be able to succeed in first attempt or they have to relearn the new track ?

Implement map changing during training

You are most familiar with your code. Can you see a strait forward way to change the map at certain intervals or perhaps after a certain goal is achieved to perhaps train the model to become more adaptive. Perhaps this already occurs, or does the model just learn to succeed at one specific map at a time?

Thank you! Excellent work.

Change NN size

Hi,

Nice project!

I was wondering, where do you set the size of the neural network?

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