contains code related to all machine learning models being studied.
-
Updated
Oct 4, 2018 - Python
contains code related to all machine learning models being studied.
Machine learning model that learns to play Flappy bird game developed using Neural networks and Genetic algorithm(NEAT).
"Neuro Evolution of Augmenting Topologies"
Several approaches using deep reinforcement learning to play Super Mario Bros.
Genetic algorithm (NEAT) to generate and optimize deep neural networks for the game "Flappy Bird".
The project aims to teach a neural net how to play the famous game 'Flappy Bird'. To play the game deep learning and genetic algorithms are applied.
Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
Developing an Intelligent Agent from scratch to play a game with Applying Neuroevolution to achieve high scores
Neuroevolution through Augmenting Topologies
🦖 A fast & simple neuro-evolution library for Python
Implemented an intelligent game agent using an evolutionary algorithm to train a neural network.
Not the typical snake game. The snake no longer needs you - it grows on its own (neuro-evolution at its best)
neuro-evolution applied to the game of rock paper scissors
sNEAT: A simplified implementation of NEAT (Neuro-Evolution of Augmenting Topologies) in Python
Add a description, image, and links to the neuro-evolution topic page so that developers can more easily learn about it.
To associate your repository with the neuro-evolution topic, visit your repo's landing page and select "manage topics."