AI experiments with 2048. Will attempt fixed topology neuroevolution, neuroevolution of augmenting topologies, and reinforcement learning.
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Updated
Feb 18, 2018 - Python
AI experiments with 2048. Will attempt fixed topology neuroevolution, neuroevolution of augmenting topologies, and reinforcement learning.
Intelligent agent uses Neuroevolution to learn to play Flappy Bird. TensorFlow.js used for neural networks in the browser.
Java implementation of NEAT for unsupervised learning of games.
🧠 neuroevolution of augmenting topologies implamentation
Neural network implementation of the dinosaur chrome game.
A python package for evolving neural networks via genetic algorithms.
Simulating evolution of fish intelligence in a fishbowl using genetic algorithms
A NeuroEvolution AI for the game Flappy Bird
An experimentation with neuroevolution using Tensorflow
Neuroscience-inspired optimization algorithm known as NeuroEvolution of Augmenting Topologies (NEAT)
Evolutionary computing for optimizing deep neural nets.
EvoESN: a neuroevolutionary framework for the Echo State Network model
This repository hosts the code used in the paper "An Experimental Comparison of Evolved Neural Network Models for Controlling Simulated Modular Soft Robots".
My implementation of using genetic algorithm to seek good hyperparameters for a single layer perceptron
A homemade implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm.
This simple script is an example of genetic algorithm application
The source code for the experiments of my master's thesis.
Used NeuroEvolution to train the bird to play flappy bird
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