most citedDREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

6 citations · 6 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI20206 cited

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

Stephane Doncieux, Nicolas Bredeche, Léni Le Goff +9

Robots are still limited to controlled conditions, that the robot designer knows with enough details to endow the robot with the appropriate models or behaviors. Learning algorithm…

cs.RO2020

Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies

Rémi Dromnelle, Benoît Girard, Erwan Renaudo +2

An important current challenge in Human-Robot Interaction (HRI) is to enable robots to learn on-the-fly from human feedback. However, humans show a great variability in the way the…

cs.RO2020

How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning

Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel +3

Taking inspiration from how the brain coordinates multiple learning systems is an appealing strategy to endow robots with more flexibility. One of the expected advantages would be…

q-bio.NC2016

Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets

Charles Thurat, Steve N 'Guyen, Benoît Girard

The Superior Colliculus, a laminar structure involved in the retinotopic mapping of the visual field, plays a cardinal role in the several cortical and subcortical loops of the sac…