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GEOMETRY DASH CLONE SOLVED THROUGH PPO AND NEAT ALGORITHMS

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SquareSprint

An AI implementation of Geometry Dash in Unity Website to play game as well as as gain an understanding of the code can be found here

PPO: Proximal Policy Optimization

PPO refers to an optimization method that aims to improve the policies of AI agents in a manner that ensures stability and efficiency during training. For our case, we use RayTracing in order to make our AI aware of its surroundings.

NEAT: Neuroevolution of augmenting topologies

NEAT is a type of genetic algorithm that uses artificial neural networks to model complex functions. As generations progress overtime, the fitness scores (a metric of how well the AI is doing) will increase over time.

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GEOMETRY DASH CLONE SOLVED THROUGH PPO AND NEAT ALGORITHMS

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