10 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 10 cited
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
Felix Chalumeau, Bryan Lim, Raphael Boige +7
QDax is an open-source library with a streamlined and modular API for Quality-Diversity (QD) optimization algorithms in Jax. The library serves as a versatile tool for optimization…
cs.NE2023★ 1 cited
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot, Arthur Flajolet
Quality Diversity (QD) has emerged as a powerful alternative optimization paradigm that aims at generating large and diverse collections of solutions, notably with its flagship alg…
cs.NE2023★ 2 cited
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Quality-Diversity (QD) algorithms have recently gained traction as optimisation methods due to their effectiveness at escaping local optima and capability of generating wide-rangin…