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A NeuroEvolution Model getting high scores in the SnailJumper game

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CI_NeuroEvolutionGame

Computational Intelligence Final Project This game has been developed as an assignment for students at Amirkabir University of Technology to apply neuroevolution using a simple game called Snail Jumper.

A game featuring a snail protagonist that can be played manually or using a Neuro Evolution algorithm. The snail navigates through obstacles to earn points, with a neural network guiding its actions. There are 300 randomly initialized ”actors” (i.e., snails with neural networks), and only the fittest ones were evolved and mutated into the next generation. The hyperparameters were carefully selected to optimize the scoring system. I also experimented with various methods for selecting the next population, including K fittest, Roulette Wheel, SUS, and Q-Tournament

This is run of the game


Setup

To run this project, use below commands:

$ python3 game.py

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A NeuroEvolution Model getting high scores in the SnailJumper game

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