Training a car to park using an Evolutionary Algorithm
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Updated
Dec 17, 2020 - JavaScript
Training a car to park using an Evolutionary Algorithm
Utilització de les xarxes neuronals a través de l'algoritme NEAT amb el propòsit que els ocells aprenguin a jugar al Flappy Bird
frontend for FlowerEvolver-WASM
Evolving Flappy Bird agents using Neuro-Evolution. Project for a research paper at the IT University of Copenhagen in 2014.
A NEAT implementation of the NEAT algorithm in Javascript
Simulating evolution of fish intelligence in a fishbowl using genetic algorithms
A collection of clones of popular 2D games coupled with an AI to play the game against itself or against a human in some cases.
TinyNEAT is a simple and extensible NEAT (NeuroEvolution of Augmenting Topologies) implementation in TypeScript.
This is a self-played snake game that uses genetic algorithm and neural network to learn and improve its gameplay over time. The game is built using the p5.js library for graphics and user interface, and the tensorflow.js and neataptic libraries for machine learning.
A python AI based N.E.A.T method
frontend for Flower Evolver website.
Implementing the Legendary game, Flappy Bird using the NEAT(Neuroevolution of augmenting topologies) algorithm.
This program allows you to play the game flappy bird! This program also allows the AI to train itself by playing the game using the NEAT(Neural Evolution of Augmented Topologies) algorithm, which is a generic algorithm.
Implemetation of NEAT and Genetic Algorithm to beat Evoman game
backend for Flower Evolver website
Self Learning pong game using NEAT and Pygame, there's bound to be errors since i made this for myself following Tech With Tim tutorial on my pong game which is posted. Code isn't neat but there's comments where I think they're useful. I also attached the best neural network i could train, but of course it can be improved.
Building and training a SpaceCraft game that can be played by user as well by the AI using NEAT algorithm.
A simple flappy-bird game built on pygame module with dual mode availability. Manual as well AI (Reinforcement & NEAT-algorithm based).
Game Development and AI Implementation project.
The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive generations until the fitness threshold is met. The ultimate winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.
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