I am a Ph.D. student advised by Prof. Doina Precup at McGill University.
My research interests span across computer vision, machine learning, and robotics. I am highly motivated to work at the intersection of vision and hierarchical reinforcement learning. During my doctoral studies, I wish to be working towards building systems that are able to perceive the world as much as humans do in an open loop allowing them to reinforce learning and evolve with time just as humans.
Currently, my work focuses on designing reinforcement algorithms which are more interpretable in context of their behavior. I am broadly interested in understanding the latent space during the lifetime of an agent in the perceptual domain.