Implementation of MAP-Elites and Differential Evolution for mobile robotics. Bachelor's Degree Final Project.

Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach

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

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

Official repository of ICML'24 paper "Quality-Diversity with Limited Resources".

Official implementation of IJCAI'23 paper "Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting"

Official implementation of ICLR'24 spotlight paper "Sample-Efficient Quality-Diversity by Cooperative Coevolution".

DCG-MAP-Elites GECCO 2023 Best Paper Award + DCRL-MAP-Elites ACM TELO 2024

Accelerated Quality-Diversity

Application of MAP-Elites algorithm for crystal structure prediction

Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" (ICML 2024).

High-performance JAX-powered simulator for robotic navigation in 2D mazes, optimized for Quality-Diversity algorithm research and benchmarking.

Adaptable Agent Populations via a Generative Model of Policies

Bayesian Illumination is an accelerated generative model for optimization of small molecules.

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

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

Train or evolve controllable and diverse level-generators.

A Python 3 gradient-free optimization library

A bare-bones Python library for quality diversity optimization.

Accelerated Quality-Diversity