Katie Kang

I am a PhD student in the Berkeley Aritifical Intelligence Research (BAIR) lab at UC Berkeley, advised by Sergey Levine and Claire Tomlin. Previously, I also did my undergrad at Berkeley.

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Research

I am broadly interested in the intersection of machine learning and control.

clean-usnob Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
Katie Kang, Paula Gradu, Jason Choi, Michael Janner, Claire Tomlin, Sergey Levine
ICML 2022
arxiv / website / talk
clean-usnob Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
Katie Kang, Gregory Kahn, Sergey Levine
CoRL 2021
NeurIPS Robot Learning Workshop 2020 [Best Paper Award]
arxiv / video / website
clean-usnob Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Katie Kang*, Suneel Belkhale*, Gregory Kahn*, Pieter Abbeel, Sergey Levine
ICRA 2019
arxiv / video / code / news
Teaching
clean-usnob EE 126 (Probability and Random Processes), Fall 2019, Spring 2019, Fall 2018

CS 70 (Discrete Math and Probability), Summer 2018

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