Description
Date depot: 1 janvier 1900
Titre: Robots constructing representations from experience
Directeur de thèse:
Stéphane DONCIEUX (ISIR (EDITE))
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
Designing algorithms that provide robots or agents with autonomy
is often a complicated and tedious endeavor.
To make it easier, many learning algorithms exist that can
optimize over time the parameters of the mapping from
perceptions to actions, with the objective to increase
some measure of the quality of the behavior,
like for instance the ability to collect a reward.
However, the mapping from perceptions to actions
has most of the time a fixed structure, with
some internal representations that
are not modified during learning.
The success of the learning process
depends largely on these representations,
and it would be desirable for learning algorithms
to have the ability to infer appropriate
representations directy from experience.
The goal of the proposed PhD is to explore
different research directions for
the automated construction of representations
via an a posteriori analysis of sensori-motor traces.
Doctorant.e: Merckling Astrid