9 citations · 25 across the 9 of their papers we have counts for
14 papers
Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search
Elias Hanna, Alex Coninx, Stéphane Doncieux
This paper studies the impact of the initial data gathering method on the subsequent learning of a dynamics model. Dynamics models approximate the true transition function of a giv…
Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search
Aurélien Morel, Yakumo Kunimoto, Alex Coninx +1
Grasping a particular object may require a dedicated grasping movement that may also be specific to the robot end-effector. No generic and autonomous method does exist to generate…
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…
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms
Alexandre Chenu, Nicolas Perrin-Gilbert, Stéphane Doncieux +1
Reinforcement learning agents need a reward signal to learn successful policies. When this signal is sparse or the corresponding gradient is deceptive, such agents need a dedicated…
BR-NS: an Archive-less Approach to Novelty Search
Achkan Salehi, Alexandre Coninx, Stephane Doncieux
As open-ended learning based on divergent search algorithms such as Novelty Search (NS) draws more and more attention from the research community, it is natural to expect that its…