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Jun 24, 2022 - C++
novelty-search
Here are 20 public repositories matching this topic...
Genetic algorithm & Novelty search algorithm performance comparison tool
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Nov 18, 2020 - Java
Rapid Reinforcement Learning
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Mar 9, 2023 - Python
A method to determine morphological novelty in a set of modular robots.
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Nov 14, 2023 - Python
Evolutionary algorithms for promoter architecture design. A repository for my undergraduate thesis.
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Oct 15, 2023 - Python
Novelty search discovers interesting seeds for the Game of Life.
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Apr 9, 2023 - Rust
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
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Dec 1, 2022 - Jupyter Notebook
Diverse Instance Generator with Novelty and EAs
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Oct 23, 2023 - C++
Diverse Instance Generator with Novelty and EAs
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Sep 27, 2024 - Python
A variety of novelty search for agents evolving in grid worlds.
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Jul 3, 2019 - Python
Python implementation of the NEAT neuroevolution algorithm
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Oct 2, 2022 - Python
Project Investigating the Impact of a Complexity Cost on the Complexity of Robots Evolved Under two Different Selective Pressures
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Mar 29, 2021 - C++
Source of DeepIE3D: Training + Frontend + Backend = Everything
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Apr 16, 2024 - Python
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).
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Apr 4, 2021 - Python
An implementation and evaluation of biologically inspired techniques in game level generation. Honours project for the Games Development course.
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Jul 19, 2023 - C#
A (fairly modular and easily expandable) novelty search implementation for gym-based environments
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Jul 28, 2020 - Jupyter Notebook
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.
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Oct 6, 2021 - C++
This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
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Jul 30, 2024 - Go
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
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Oct 16, 2020 - Jupyter Notebook
Musical Novelty Search: Evolutionary Algorithms + Ableton Live
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May 29, 2017 - Python
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