A bare-bones Python library for quality diversity optimization.
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Updated
Jun 30, 2024 - Python
A bare-bones Python library for quality diversity optimization.
Bayesian Illumination is an accelerated generative model for optimization of small molecules.
Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" (ICML 2024).
Accelerated Quality-Diversity
Official repository of ICML'24 paper "Quality-Diversity with Limited Resources".
Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach
Argenomic is a quality-diversity (or illumination) algorithm for optimization of small organic molecules.
Official implementation of ICLR'24 spotlight paper "Sample-Efficient Quality-Diversity by Cooperative Coevolution".
Train or evolve controllable and diverse level-generators.
Application of MAP-Elites algorithm for crystal structure prediction
MSc research project on application of Quality-Diversity algorithms for crystal structure prediction
Repository for "MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy" (GECCO 2023).
A Python 3 gradient-free optimization library
Official implementation of IJCAI'23 paper "Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting"
Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
Accelerated Quality-Diversity
Adaptable Agent Populations via a Generative Model of Policies
Implementation of MAP-Elites and Differential Evolution for mobile robotics. Bachelor's Degree Final Project.
Map Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem
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