11 citations · 21 across the 8 of their papers we have counts for
5 papers · 1 filter
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
Achkan Salehi, Stephane Doncieux
Quality-Diversity is a branch of stochastic optimization that is often applied to problems from the Reinforcement Learning and control domains in order to construct repertoires of…
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
Achkan Salehi, Steffen Rühl, Stephane Doncieux
Model-based Reinforcement Learning and Control have demonstrated great potential in various sequential decision making problem domains, including in robotics settings. However, rea…
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms
Achkan Salehi, Stephane Doncieux
While the field of Quality-Diversity (QD) has grown into a distinct branch of stochastic optimization, a few problems, in particular locomotion and navigation tasks, have become de…
Geodesics, Non-linearities and the Archive of Novelty Search
Achkan Salehi, Alexandre Coninx, Stephane Doncieux
The Novelty Search (NS) algorithm was proposed more than a decade ago. However, the mechanisms behind its empirical success are still not well formalized/understood. This short not…
Few-shot Quality-Diversity Optimization
Achkan Salehi, Alexandre Coninx, Stephane Doncieux
In the past few years, a considerable amount of research has been dedicated to the exploitation of previous learning experiences and the design of Few-shot and Meta Learning approa…