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".
Flappy Bird game, but the bird is controlled by a neural net modified by a genetic algorithm
Game for Intelligent Simulated Military Opponents
Playing MsPacman using Neuroevolution of Augmenting Topologies (NEAT) on OpenEmu
This project investigates the relationship between perception, fitness, and reality using evolutionary game theory and cognitive science. It also explores the scalability of the representation strategy used in the 2D grid to a 3D grid and compares its results to research involving human participants.
Neuro-Evolution Library for Reinforcement Learning
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