This site is currently broken for new queries. It seems like some bot hit it and we ran out of exa credits.
Enter your personal website to find others like you. Powered by Exa's "find similar". Built on Val Town.
I'm a PhD student at UC Berkeley studying decision making using reinforcement learning.
I'm a Research Scientist at Google Brain, working at the intersection of machine learning and robotics.
My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.
My current research focuses on pretraining and foundation models for decision making and Embodied Intelligence.
This general audience talk covers the challenges in building robotic systems from the perspective of artificial intelligence, discussing Moravec's pa…
such as maps, objects positions, or a global view of the environment.
I am interested in methods that can enable robots to acquire complex sensorimotor skills in the real world.
My PhD work was in the field of artificial intelligence for robotics.
How can we learn from human interventions?