35 citations
- Babeș-Bolyai UniversityRO1 paper
- École Nationale Supérieure de Techniques AvancéesFR1 paper
- École nationale supérieure de techniques avancées BretagneFR1 paper
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR1 paper
- Laboratoire d’Informatique et SystèmesFR1 paper
- Nantes UniversitéFR1 paper
- Sorbonne UniversitéFR1 paper
- Université de Bretagne OccidentaleFR1 paper
- Université de PoitiersFR1 paper
7 papers
DREAM Lite: Simplifying Robot Assisted Therapy for ASD
Alexandre Mazel, Silviu Matu
Robot-Assisted Therapy (RAT) has successfully been used to improve social skills in children with autism spectrum disorders (ASD). The DREAM project explores how to deliver effecti…
Sparse Reward Exploration via Novelty Search and Emitters
Giuseppe Paolo, Alexandre Coninx, Stephane Doncieux +1
Reward-based optimization algorithms require both exploration, to find rewards, and exploitation, to maximize performance. The need for efficient exploration is even more significa…
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment
Arturo Cruz-Maya
Robot navigation in human semi-static and crowded environments can lead to the freezing problem, where the robot can not move due to the presence of humans standing on its path and…
Interval centred form for proving stability of non-linear discrete-time systems
Auguste Bourgois, Luc Jaulin
In this paper, we propose a new approach to prove stability of non-linear discrete-time systems. After introducing the new concept of stability contractor, we show that the interva…
Emergence of Spatial Coordinates via Exploration
Alban Laflaquière
Spatial knowledge is a fundamental building block for the development of advanced perceptive and cognitive abilities. Traditionally, in robotics, the Euclidean (x,y,z) coordinate s…
DisCoRL: Continual Reinforcement Learning via Policy Distillation
René Traoré, Hugo Caselles-Dupré, Timothée Lesort +4
In multi-task reinforcement learning there are two main challenges: at training time, the ability to learn different policies with a single model; at test time, inferring which of…