Artificial Intelligence

    

Applying Neural Networks and Neuroevolution of Augmenting Topologies to play Super Mario Bros

Authors: Vivek Verma

This paper describes the background and implementation behind a project that uses Neroevolution of Augmenting Topologies (NEAT) to play Super Mario Bros. It's implementation is different from classic applications of NEAT since the training process was heavily optimized using multithreading and downsampling. As a result, the training process can be run on underpowered CPUs without the help of an external GPU. The neural network successfully completed level 1-1 of the game.

Comments: 2 Pages.

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Submission history

[v1] 2020-08-18 00:40:01

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