NGUYEN Sao Mai

ENSTA, IP Paris is looking to hire a talented master student in machine learning on a collaborative project with Ecole Polytechnique. The intern will be part of the laboratory U2IS of ENSTA Paris and will collaborate with LIX, Ecole Polytechnique. The internship’s goal is to explore how active imitation can improve the algorithm GARA. The intuition in this context is that human demonstrations can be used to determine the structure of the task (ie. which subtasks need to be achieved) as well as determining a planning strategy to solve it (ie. the order of achieving subtasks). During this internship we will: Study the relevant state-of-art and make a research hypothesis about the usefulness of introducing human demonstrations into the considered HRL algorithm, Design and implement a component to learn from human demonstrations in GARA, Conduct an experimental evaluation to assess the research hypothesis. The intern is expected to also collaborate with a PhD student whose work is closely related to this topic.