Graduate Student Researcher
My main research goal is to develop algorithms which enable robotic systems to learn how to perform complex tasks quickly and efficiently in a variety of unstructured environments. I am currently working in the areas of transfer learning and quick adaptation for Deep Reinforcement Learning algorithms applied to robotic systems. I am also working on getting robotic hands to be able to learn a variety of complex dexterous skills using Deep Reinforcement Learning. In the past I have worked on video prediction, learning from demonstration and hierarchical planning.
I am a Ph.D. student in EECS at UC Berkeley advised by Professor Pieter Abbeel and Professor Sergey Levine in the Berkeley Artificial Intelligence Research (BAIR) Lab. Previously I was an undergraduate EECS Major at UC Berkeley working with Professor Pieter Abbeel.