Anqi Li completed her Ph.D. in Computer Science & Engineering from the University of Washington in 2023. Before that, she received her Master's degree from Carnegie Mellon University and her Bachelor's degree from Zhejiang University. Her research focuses on bringing sample efficiency and formal performance guarantees to robot learning. Specific research topics include offline reinforcement learning, safe reinforcement learning, learning from human demonstrations, and planning & control with guarantees.
