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Tyler Westenbroek
Tyler Westenbroek
EECS PhD Student, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Wireless routing and control: A cyber-physical case study
B Li, Y Ma, T Westenbroek, C Wu, H Gonzalez, C Lu
2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016
652016
Feedback linearization for uncertain systems via reinforcement learning
T Westenbroek, D Fridovich-Keil, E Mazumdar, S Arora, V Prabhu, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 1364-1371, 2020
61*2020
Learning min-norm stabilizing control laws for systems with unknown dynamics
T Westenbroek, F Castañeda, A Agrawal, SS Sastry, K Sreenath
2020 59th IEEE Conference on Decision and Control (CDC), 737-744, 2020
192020
Competitive statistical estimation with strategic data sources
T Westenbroek, R Dong, LJ Ratliff, SS Sastry
IEEE Transactions on Automatic Control 65 (4), 1537-1551, 2019
172019
Combining model-based design and model-free policy optimization to learn safe, stabilizing controllers
T Westenbroek, A Agrawal, F Castañeda, SS Sastry, K Sreenath
IFAC-PapersOnLine 54 (5), 19-24, 2021
162021
Lyapunov design for robust and efficient robotic reinforcement learning
T Westenbroek, F Castaneda, A Agrawal, S Sastry, K Sreenath
arXiv preprint arXiv:2208.06721, 2022
152022
On the stability of nonlinear receding horizon control: a geometric perspective
T Westenbroek, M Simchowitz, MI Jordan, SS Sastry
2021 60th IEEE Conference on Decision and Control (CDC), 742-749, 2021
122021
Adaptive control for linearizable systems using on-policy reinforcement learning
T Westenbroek, E Mazumdar, D Fridovich-Keil, V Prabhu, CJ Tomlin, ...
2020 59th IEEE Conference on Decision and Control (CDC), 118-125, 2020
12*2020
Improving input-output linearizing controllers for bipedal robots via reinforcement learning
F Castañeda, M Wulfman, A Agrawal, T Westenbroek, S Sastry, C Tomlin, ...
Learning for Dynamics and Control, 990-999, 2020
92020
Optimal control of piecewise-smooth control systems via singular perturbations
T Westenbroek, X Xiong, AD Ames, SS Sastry
2019 IEEE 58th Conference on Decision and Control (CDC), 3046-3053, 2019
9*2019
Statistical estimation with strategic data sources in competitive settings
T Westenbroek, R Dong, LJ Ratliff, SS Sastry
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 4994-4999, 2017
52017
Optimal control of hybrid systems using a feedback relaxed control formulation
T Westenbroek, H Gonzalez
arXiv preprint arXiv:1510.09127, 2015
52015
The power of learned locally linear models for nonlinear policy optimization
D Pfrommer, M Simchowitz, T Westenbroek, N Matni, S Tu
International Conference on Machine Learning, 27737-27821, 2023
42023
A new solution concept and family of relaxations for hybrid dynamical systems
T Westenbroek, H Gonzalez, SS Sastry
2018 IEEE Conference on Decision and Control (CDC), 743-750, 2018
42018
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems
E Mazumdar, T Westenbroek, MI Jordan, SS Sastry
2020 59th IEEE Conference on Decision and Control (CDC), 4275-4280, 2020
22020
Technical report: Optimal control of piecwise-smooth control systems via singular perturbations
T Westenbroek, X Xiong, AD Ames, SS Sastry
arXiv preprint arXiv:1903.11781, 2019
22019
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
T Westenbroek, J Levy, D Fridovich-Keil
arXiv preprint arXiv:2307.08168, 2023
1*2023
On the computational consequences of cost function design in nonlinear optimal control
T Westenbroek, A Siththaranjan, M Sarwari, CJ Tomlin, S Sastry
2022 IEEE 61st Conference on Decision and Control (CDC), 7423-7430, 2022
12022
Smooth approximations for hybrid optimal control problems with application to robotic walking
T Westenbroek, X Xiong, SS Sastry, AD Ames
IFAC-PapersOnLine 54 (5), 181-186, 2021
12021
Robust Machine Learning for the Control of Real-world Robotic Systems
T Westenbroek
University of California, Berkeley, 2023
2023
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