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2020_mouret_gecco

Source code for 'Quality Diversity for Multi-task Optimization' (Mouret & Maguire, GECCO 2020)

adventofcode

My attempts at solving Advent of Code in a variety of programming languages

ant-crusher

Training ants to avoid being crushed through neuroevolution

ant-simulation

Simulating an Ant colony searching for food - C++ SDL2

atomas-clone

balancer-ai

Training an AI to balance a bouncing ball.

brave-clojure

Clojure exercises from the book "Clojure for the Brave and True"

butteredcat

Evolving 2D objects that land the same way every time they are dropped!

cellular-automata-clojure

A Clojure Library to observe, simulate and handle various forms of Cellular Automata.

clojure-exercism

My attempts at Exercism's exercises using the clojure programming language

clojush

The Push programming language and the PushGP genetic programming system implemented in Clojure.

cpp

C++ Exercises from exericsm.io

cppn.js

My Implementation of a Compositional Pattern Producing Network in Javascript

creativeai

Using Neataptic to create a Compositional Pattern Producing Network

deck-of-cards

A few classes and programs that have to do with decks of playing cards

doodle-jump-ai

Creating an AI that can play doodle jump

estimate-pi

A program that estimates pi by using a Monte Carlo simulation

evolisa.js

My attempt at creating an evolutionary algorithm that can recreate the Mona Lisa with triangles.

evolutionary-linear-regression

Performing Linear Regression with a simple Evolutionary Algorithm

evolutionarystructures

Evolving structures that can be 3D printed

facemesh.js

Using ML5.js to detect face poses

free-thrower

Training a neural network to shoot basketball free throws consistantly.

frogger

An attempt to make frogger using pygame

frogger-tutorial

ga-clj

No-assumptions genetic algorithms in Clojure

greatest-common-divisor

As a part of trying to learn C++, I attempted to create a greatest common divisor program

hidden-context

Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"

hyperpush

Using PushGP CPPNs to indirectly encode the weights of a Neural Network

informed-down-sampled-lexicase

Code for the paper "Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving"

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning