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Implementation of a Neuro Evolutionary algorithm to optimize a simple neural net to achieve the best result in SnailJumper game in Spring 2022 at CE@AUT

Python 100.00%

neuroevolutionary-snailjumper's Introduction

NeuroEvolutionary-SnailJumper

Implementation of a Neuro Evolutionary algorithm to optimize a simple neural net to achieve the best result in SnailJumper game in Spring 2022 at CE@AUT

Implementation Detail

Neural Network

Input

  • Coordinates of k-closest obstacles(snails and bees)
  • Euclidean Distance from player to the closest obstacle

Activation Functions

  • Sigmoid
  • ReLU
  • tanh

Selection Algorithms

  • Top k Players (based on fitness)
  • Roulette Wheel (RW)
  • Stochastic Universal Sampling (SUS)
  • Tournament Selection (Q-Tournament)

Acknowledgement

I appreciate @SoroushMehraban for his fantastic game. You can find the original game at this link

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