Michael H. Lim
(Hyun Jae Lim)


UC Berkeley - PhD in Statistics & Robotics
Harvard University Class of 2018
"ML does ML"

Hi! I am Michael. I am a 3rd year PhD student in Statistics with a focus on robotics at UC Berkeley, grateful to be advised by Prof. Claire J. Tomlin and Prof. Zachary N. Sunberg. I am interested in the intersection of control theory, sequential decision making, and machine learning, with applications in robotics.


December 2020

  • We released our study results on Voronoi Progressive Widening, an efficient online solver technique to handle continuous and hybrid action space MDPs and POMDPs with provable components. This paper was submitted to ICAPS 2021. Preprint version of our work is available on arXiv link and code on Github link.
  • I will be presenting my work on POMDP convergence guarantees for continuous observations at the virtual conference for IJCAI-PRICAI 2020. Preprint version is available on arXiv link, and the 5-minute video is available on video link.

August 2020

  • I was an intern at nuro.ai over the summer, working with the control and planning team under SWE/research role. Thank you for an amazing time!