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ORCIDTyler Westenbroek
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2020 – today
- 2023
[c16]Tyler Westenbroek, Jacob Levy, David Fridovich-Keil:
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRL 2023: 2478-2497- [c15]Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu:
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. ICML 2023: 27737-27821 - [i11]Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu:
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. CoRR abs/2305.09619 (2023) - [i10]Tyler Westenbroek, Jacob Levy, David Fridovich-Keil:
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRR abs/2307.08168 (2023) - 2022
- [c14]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CDC 2022: 7423-7430 - [c13]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRL 2022: 2125-2135 - [i9]Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, Shankar S. Sastry:
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CoRR abs/2204.01986 (2022) - [i8]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRR abs/2208.06721 (2022) - 2021
- [c12]Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath:
Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers. ADHS 2021: 19-24 - [c11]Tyler Westenbroek, Xiaobin Xiong, S. Shankar Sastry, Aaron D. Ames:
Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking. ADHS 2021: 181-186 - [c10]Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry:
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CDC 2021: 742-749 - [i7]Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry:
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CoRR abs/2103.15010 (2021) - 2020
- [j1]Tyler Westenbroek
, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Competitive Statistical Estimation With Strategic Data Sources. IEEE Trans. Autom. Control. 65(4): 1537-1551 (2020) - [c9]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CDC 2020: 118-125 - [c8]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC 2020: 737-744 - [c7]Eric Mazumdar, Tyler Westenbroek, Michael I. Jordan, S. Shankar Sastry:
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. CDC 2020: 4275-4280 - [c6]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Uncertain Systems via Reinforcement Learning. ICRA 2020: 1364-1371 - [c5]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. L4DC 2020: 990-999 - [i6]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CoRR abs/2004.02766 (2020) - [i5]Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. CoRR abs/2004.07276 (2020) - [i4]Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR abs/2004.10331 (2020)
2010 – 2019
- 2019
- [c4]Tyler Westenbroek, Xiaobin Xiong, Aaron D. Ames, S. Shankar Sastry:
Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations. CDC 2019: 3046-3053 - [i3]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Competitive Statistical Estimation with Strategic Data Sources. CoRR abs/1904.12768 (2019) - [i2]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Unknown Systems via Reinforcement Learning. CoRR abs/1910.13272 (2019) - 2018
- [c3]Tyler Westenbroek, Humberto González, S. Shankar Sastry:
A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems. CDC 2018: 743-750 - 2017
- [c2]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Statistical estimation with strategic data sources in competitive settings. CDC 2017: 4994-4999 - [i1]Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry:
Statistical Estimation with Strategic Data Sources in Competitive Settings. CoRR abs/1704.01195 (2017) - 2016
- [c1]Bo Li, Yehan Ma, Tyler Westenbroek, Chengjie Wu, Humberto González, Chenyang Lu:
Wireless Routing and Control: A Cyber-Physical Case Study. ICCPS 2016: 32:1-32:10
Coauthor Index
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