Nicolas Perrin-Gilbert
Date:
Speaker
Nicolas Perrin-Gilbert has been a CNRS researcher at ISIR since 2013. His scientific aim is to develop effective learning algorithms that can address various challenges encountered in robotics, with a specific emphasis on reinforcement learning (RL) and applications related to balance control, bipedal locomotion and robotic walking aids.
Abstract
I will present Yomix, an interactive tool designed to explore low-dimensional embeddings of omics data, along with related work carried out in collaboration between ISIR and the Curie Institute.
On the robotics and reinforcement learning side, I will introduce O3P, a library for off-policy and offline RL that I am currently developing. I will also highlight AFU, a recent method enabling online RL with an algorithmic approach that, until now, had proven effective only in offline settings.