Nicolas Perrin-Gilbert

My core aim is to develop effective learning algorithms that can address various challenges encountered in robotics, with a specific emphasis on reinforcement learning and applications related to balance control, bipedal locomotion and robotic walking aids.

In addition, I am also interested in AI tools for oncogenomics.

I am the main developer of xpag, a modular reinforcement learning library with JAX agents, Yomix, an interactive tool to explore low dimensional embeddings of omics data, and xomx, a python library providing data processing and machine learning tools for computational omics.

My publications can be found on HAL, DBLP, or Google Scholar.