GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
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Updated
Jun 20, 2024 - Python
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
Made from scratch. Each arrow/player is controlled by a neural network. They have to keep eating to stay alive and reproduce. When they reproduce they will spawn a player that is a mutated version of the parent. Fun to watch them evolve and learn. I use NeuroEvolution of Augmenting Topologies as the strategy for evolution.
A simple flappy-bird game built on pygame module with dual mode availability. Manual as well AI (Reinforcement & NEAT-algorithm based).
This project aims at playing the game of Tetris using Genetic Algorithm
Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python
NEAT-AI plays arcade shooter game "scramble"
“Flying through the obstacles” is a playable game which the model learns to play and trains itself to perform best even in the most difficult levels. The model trains to emerge victorious against human players in any stage. Our model produces the best gaming results that are possible to achieve.
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