Tyler Westenbroek

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Receding Horizon

Reinforcement Learning

Top Venues

Publications

Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRR (2023)
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. CoRR (2023)
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRL (2023)
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. ICML (2023)
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 (2022)
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)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRL (2022)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. CoRR (2022)
Tyler Westenbroek, Xiaobin Xiong, S. Shankar Sastry, Aaron D. Ames
Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking. ADHS (2021)
Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CoRR (2021)
Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. CDC (2021)
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)
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)
Eric Mazumdar, Tyler Westenbroek, Michael I. Jordan, S. Shankar Sastry
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. CDC (2020)
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 (2020)
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)
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)
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 (2020)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CDC (2020)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Competitive Statistical Estimation With Strategic Data Sources. IEEE Trans. Autom. Control. 65 (4) (2020)
Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. CoRR (2020)
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 (2019)
Tyler Westenbroek, Xiaobin Xiong, Aaron D. Ames, S. Shankar Sastry
Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations. CDC (2019)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Competitive Statistical Estimation with Strategic Data Sources. CoRR (2019)
Tyler Westenbroek, Humberto González, S. Shankar Sastry
A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems. CDC (2018)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Statistical Estimation with Strategic Data Sources in Competitive Settings. CoRR (2017)
Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry
Statistical estimation with strategic data sources in competitive settings. CDC (2017)
Bo Li, Yehan Ma, Tyler Westenbroek, Chengjie Wu, Humberto González, Chenyang Lu
Wireless Routing and Control: A Cyber-Physical Case Study. ICCPS (2016)