research
∙
08/25/2023
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
Quality-Diversity is a branch of stochastic optimization that is often a...
research
∙
03/02/2023
Data-efficient, Explainable and Safe Payload Manipulation: An Illustration of the Advantages of Physical Priors in Model-Predictive Control
Machine Learning methods, such as those from the Reinforcement Learning ...
research
∙
07/25/2022
Meta Neural Ordinary Differential Equations For Adaptive Asynchronous Control
Model-based Reinforcement Learning and Control have demonstrated great p...
research
∙
05/06/2022
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms
While the field of Quality-Diversity (QD) has grown into a distinct bran...
research
∙
05/06/2022
Geodesics, Non-linearities and the Archive of Novelty Search
The Novelty Search (NS) algorithm was proposed more than a decade ago. H...
research
∙
09/14/2021
Few-shot Quality-Diversity Optimisation
In the past few years, a considerable amount of research has been dedica...
research
∙
04/08/2021