Institut des Systèmes Intelligents
et de Robotique


Sorbonne Universite



Tremplin CARNOT Interfaces



Vous êtes cordialement invités à ma soutenance de HDR qui aura lieu le mardi 6 mai 2014 à 14h à l'ISIR (Tour 65, 3ème étage, salle 304).

Le travail présenté, intitulé "Coordination of parallel learning processes in animals and robots", sera défendu devant un jury composé de :

Dr. Frédéric ALEXANDRE, INRIA (Reviewer)
Dr. Raja CHATILA, CNRS – UPMC (Examinator)
Dr. Boris S. GUTKIN, CNRS – ENS (Reviewer)
Dr. Mathias PESSIGLIONE, INSERM (Examinator)
Pr. Tony J. PRESCOTT, Univ. Sheffield (Reviewer)
Dr. Emmanuel PROCYK, CNRS – INSERM (Examinator)


Titl e: Coordination of parallel learning processes in animals and robots

Abstract : This HDR manuscript presents research work at the interface
between Computational Neuroscience and Cognitive Robotics aiming to
better understand how animals and robots can display behavioral adaptation
capabilities in their partially unknown and changing environment.
Previous studies have shown that the mammalian brain combines parallel
learning processes in different memory systems. During instrumental
conditioning as well as navigation, this permits initial learning based on a
model of the environment followed by the progressive expression of learned
habits. In computational terms, this can be formalized as a progressive
shift from model-based to model-free reinforcement learning. The manuscript
presents : 1) Proposed computational solutions for the coordination
of parallel learning processes to explain animal behavior during conditioning
and navigation ; 2) Uses of learning models to analyze behavioral
and neural correlates of learning ; 3) Implementations of neuro-inspired
learning models in robots interacting with the real world. The manuscript
highlights the gain of these exchanges between disciplines to further discuss
the resulting research program.

Keywords : Computational modelling, Model-based analyses of biological
data, Cognitive Robotics, Reinforcement Learning, Prefrontal cortex,
Basal ganglia, Dopamine