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08/07/2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
QDax is an open-source library with a streamlined and modular API for Qu...
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04/24/2023
Benchmark tasks for Quality-Diversity applied to Uncertain domains
While standard approaches to optimisation focus on producing a single hi...
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04/07/2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Quality-Diversity (QD) algorithms are designed to generate collections o...
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03/10/2023
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
The synergies between Quality-Diversity (QD) and Deep Reinforcement Lear...
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03/10/2023
Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies
With the development of hardware accelerators and their corresponding to...
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03/07/2023
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
Quality-Diversity algorithms, such as MAP-Elites, are a branch of Evolut...
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02/01/2023
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Quality-Diversity optimisation (QD) has proven to yield promising result...
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11/22/2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Exploration is a key challenge in Reinforcement Learning, especially in ...
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11/04/2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
We present a Quality-Diversity benchmark suite for Deep Neuroevolution i...
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10/24/2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Quality-Diversity algorithms, among which MAP-Elites, have emerged as po...
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06/25/2020