Kevin Huang


Hi! I am a first-year PhD student at the University of Washington, advised by Byron Boots, studying robotics, machine learning, and optimal control. Broadly, I am interested in developing end-to-end intelligent systems that continuously learn from their environment, as well as robust control and planning in uncertain and dynamic environments. Previously, I completed my undergrad at Caltech and am fortunate to have worked with Yisong Yue and Anima Anandkumar at Caltech, and Pablo Moscato at the University of Newcastle.


Kevin Huang, Sahin Lale, Ugo Rosalia, Yuanyuan Shi, and Anima Anandkumar. CEM-GD: Cross Entropy Method with Gradient Descent for Model Based Reinforcement Learning, 2021. Submitted to Learning for Dynamics & Control (L4DC).
[paper] [code]

Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, and Jonathon Corrales de Olivera. Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials, 2021. Submitted to IEEE Transactions on Artificial Intelligence.