Research Focus

My research is focused on developing novel techniques that combine reinforcement learning and preference learning to ensure that agents solve the right problems efficiently and robustly. Specifically, I’m interested in the intersection of these two fields and how they can be used to help agents learn and quickly learn the right behaviors in novel environments. Through my work, I hope to contribute to the advancement of AI and its ability to solve complex problems in the real world.