A bare-bones Python library for quality diversity optimization.

A collection of papers on divergence and quality diversity

MAP-Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

Argenomic is a quality-diversity (or illumination) algorithm for optimization of small organic molecules.

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).

Co-optimization of body and control of soft robots promoting quality diversity

品質多様性アルゴリズム ABC MEAP-Elites とは，ABC と MAP-Elites を組み合わせた，ノイズ耐性を持ちつつ品質多様性探索を行う，全く新しい探索アルゴリズムである．

MSc research project on application of Quality-Diversity algorithms for crystal structure prediction

Source code used in simulations for the paper "A Framework for Automatic Behavior Generation in Multi-Function Swarms" accepted by Frontiers in Robotics and AI Oct. 2020.

Map Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem

Self-Improving Agentic RAG Engine - Evolve multi-agent RAG pipelines using Quality-Diversity optimization

MAP-Elites algorithms for search space illumination

MSc thesis Prototype: Quality Diversity (MAP‑Elites) for procedural racing tracks. Voronoi/Convex Hull generators → spline tracks → headless TORCS sims → UMAP‑guided behavior space → web visualizer.

Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach

MSc thesis project: Quality-Diversity (Novelty Search with local competition) for procedural racing tracks. Voronoi/Convex Hull generators → spline tracks → headless TORCS sims → VAE-learned behavior space (finetuned online) → web visualizer.

Implementation of Farm Surveillance Problem introduced in Optimizing Camera Placement for Chicken Farm Monitoring

Metacognitive evolution lab for MAP-Elites search, calibrated promotion, replay, and bounded optimization.

Report for my MSc individual project at Imperial College London