Welcome
I am a researcher in Artificial Intelligence and Machine Learning at Inria Grenoble (France). Within the RobotLearn Team, I am leading the "Learning Robot Behavior" work package of the European H2020 SPRING project (Socially Pertinent Robots in Gerontological Healthcare) where we investigate Deep Reinforcement Learning methods and their application to robotics.
My main interest is learning mechanisms. I am fascinated by the impressive learning abilities of humans and animals. We are able to adapt efficiently to new and diverse environments and tasks. I want to develop learning algorithms, that allow artificial systems such as robots to have similar learning abilities.
Here is a list of research fields in which I am active:
Artificial Intelligence
Machine Learning
Reinforcement Learning
Deep Learning
Evolutionary Algorithms
Optimization Algorithms
Transfer Learning
Cognitive Science
Cognitive Modeling
My research page lists some of my ongoing and completed research projects.
A chronological list of papers and other documents is on my publications page.
News
April 2024: Preprint of our paper about the H2020 SPRING project - Socially Pertinent Robots in Gerontological Healthcare
SoRAIM Winter School for Social Robotics: We are organizing a winter school for social robotics for February 19th-23rd, 2024 in Grenoble, France.
Find more information here: https://spring-h2020.eu/soraim/
September 2023: Paper "Variational Meta Reinforcement Learning for Social Robotics" by Anand Ballou, Xavier Alameda-Pineda, and Chris Reinke in Applied Intelligence
May 2023: Paper "Successor Feature Representations" in Transactions on Machine Learning Research with Xavier Alameda-Pineda. I presented it at the ICLR 2023 workshop on Reincarnate Reinforcement Learning as a poster.
March 2023: Organized RL@Alpes, a Reinforcement Learning symposium for researchers of the larger Grenoble area. More Info: https://team.inria.fr/robotlearn/rl-alpes-2023/