I am a postdoctoral researcher in the RobotLearn Team (headead by Xavier Alameda-Pineda) at Inria Grenoble, France.
In the 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 research interests are Artificial Intelligence, Machine Learning, and Cognitive Science. My main focus 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, which allow artificial systems such as robots to have similar learning abilities. I believe one way of achieving this goal is to use the principles behind the learning mechanisms of our brains.

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.


January 2023: Open Robotics Junior Engineer position for Social Robotics: https://jobs.inria.fr/public/classic/en/offres/2022-05661

December 2022: We are planning to host RL@Alpes, a Reinforcement Learning meeting for researchers and industrial partners of the larger Grenoble area on March, 1st 2023. More Info: https://team.inria.fr/robotlearn/rl-alpes-2023/

June 2022: New preprint "Variational Meta Reinforcement Learning for Social Robotics" by Anand Ballou, Xavier Alameda-Pineda, and Chris Reinke

February 2022: New preprint "Xi-Learning: Successor Feature Transfer Learning for General Reward Functions" by Chris Reinke and Xavier Alameda-Pineda

January 2022: Started my position as leader of the "Learning Robot Behavior" work package for the European H2020 SPRING project.

December 2021: Paper "Successor Feature Neural Episodic Control" by David Emukpere, Xavier Alameda-Pineda, and Chris Reinke at the 5th Workshop on Meta-Learning at NeurIPS 2021

April 2020: Oral presentation at ICLR 2020 about Intrinsically Motivated Exploration for Automated Discovery. My paper with Mayalen Etcheverry and Pierre-Yves Oudeyer about an intrinsically motivated exploration process for the discovery of self-organizing patterns in a cellular automaton was published at ICLR. More information on our project website and our blog post.