There are 1 repository under novelty-search topic.
Musical Novelty Search: Evolutionary Algorithms + Ableton Live
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
GAGA is a fast, header only, multi-objective, and distributed evolutionary algorithm library written in modern C++. It is designed to be easily usable with various genotype representations and allows the user to enable or disable several features such as novelty search or speciation. It also produces and exports various customizable statistics.
A (fairly modular and easily expandable) novelty search implementation for gym-based environments
An implementation and evaluation of biologically inspired techniques in game level generation. Honours project for the Games Development course.
A universal supervisor controller and ER suite for Webots that can be adapted to any wheeled robot morphology with ease. The project is also setup to allow for easy Reinforcement Learning experimentation with some select algorithms (CMA-ES, Novlty Search, MAP-Elites) and neural networks (fixed and recurrent).
Source of DeepIE3D: Training + Frontend + Backend = Everything
Python implementation of the NEAT neuroevolution algorithm
A variety of novelty search for agents evolving in grid worlds.
Rapid Reinforcement Learning
Code and associated data relating to Kowalski, MacGregor, Long, Bell, and Cronin, "Automated Library Generation and Serendipity Quantification enables Diverse Discovery in Coordination Chemistry", JACS, 2022
Novelty search discovers interesting seeds for the Game of Life.
Evolutionary algorithms for promoter architecture design. A repository for my undergraduate thesis.
A method to determine morphological novelty in a set of modular robots.
Genetic algorithm & Novelty search algorithm performance comparison tool