Feb 1, 2023 · We propose a new methodology to evaluate Uncertain QD approaches, relying on a new per-generation sampling budget and a set of existing and new metrics.

These new frameworks completely change the game for Uncertain QD, as naive approaches using extensive and expensive amount of evaluations for each solution ...

Aug 1, 2024 · Our final and fourth contribution is to use this new framework and the associated comparison methods to benchmark existing and novel approaches.

May 8, 2023 · Our final and fourth contribution is to use this new framework and the associated comparison methods to benchmark existing and novel approaches.

We demonstrate once again the limitation of MAP-Elites in uncertain domains and highlight the performance of the existing Deep-Grid approach, and of our new ...

This repository contains the code for the paper Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains.

We show that MEMES outperforms both gradient-based and mutation-based QD algorithms on black-box optimisation and QD-Reinforcement-Learning tasks, demonstrating ...

Uncertain quality-diversity: evaluation methodology and new methods for quality-diversity in uncertain domains. M Flageat, A Cully. IEEE Transactions on ...

Second, we propose a new methodology to evaluate Uncertain QD approaches, relying on a new per-generation sampling budget and a set of existing and new metrics ...

Flageat, M., & Cully, A. (2023). Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. IEEE ...