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Katie Kang
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 9
Top Topics
Simulated And Real Data
Reinforcement Learning
Flight Control
Maximum Margin
Top Venues
CoRR
ICRA
L4DC
ICML
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Publications
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Thomas T. C. K. Zhang
,
Katie Kang
,
Bruce D. Lee
,
Claire J. Tomlin
,
Sergey Levine
,
Stephen Tu
,
Nikolai Matni
Multi-Task Imitation Learning for Linear Dynamical Systems.
L4DC
(2023)
Katie Kang
,
Amrith Setlur
,
Claire J. Tomlin
,
Sergey Levine
Deep Neural Networks Tend To Extrapolate Predictably.
CoRR
(2023)
Thomas T. C. K. Zhang
,
Katie Kang
,
Bruce D. Lee
,
Claire J. Tomlin
,
Sergey Levine
,
Stephen Tu
,
Nikolai Matni
Multi-Task Imitation Learning for Linear Dynamical Systems.
CoRR
(2022)
Katie Kang
,
Paula Gradu
,
Jason J. Choi
,
Michael Janner
,
Claire J. Tomlin
,
Sergey Levine
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control.
CoRR
(2022)
Katie Kang
,
Paula Gradu
,
Jason J. Choi
,
Michael Janner
,
Claire J. Tomlin
,
Sergey Levine
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control.
ICML
(2022)
Katie Kang
,
Gregory Kahn
,
Sergey Levine
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots.
CoRL
(2021)
Katie Kang
,
Gregory Kahn
,
Sergey Levine
Multi-Robot Deep Reinforcement Learning for Mobile Navigation.
CoRR
(2021)
Katie Kang
,
Suneel Belkhale
,
Gregory Kahn
,
Pieter Abbeel
,
Sergey Levine
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight.
ICRA
(2019)
Katie Kang
,
Suneel Belkhale
,
Gregory Kahn
,
Pieter Abbeel
,
Sergey Levine
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight.
CoRR
(2019)