Tyler Westenbroek

According to our database, Tyler Westenbroek authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models.

Jacob Levy, Tyler Westenbroek, David Fridovich-Keil

CoRR, 2024

2023

Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models.

Tyler Westenbroek, Jacob Levy, David Fridovich-Keil

CoRR, 2023

The Power of Learned Locally Linear Models for Nonlinear Policy Optimization.

Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu

Proceedings of the International Conference on Machine Learning, 2023

Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models.

Tyler Westenbroek, Jacob Levy, David Fridovich-Keil

Proceedings of the Conference on Robot Learning, 2023

2022

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning.

Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath

Proceedings of the Conference on Robot Learning, 2022

On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control.

Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective.

Tyler Westenbroek, Max Simchowitz, Michael I. Jordan, S. Shankar Sastry

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking.

Tyler Westenbroek, Xiaobin Xiong, S. Shankar Sastry, Aaron D. Ames

Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers.

Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath

Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020

Competitive Statistical Estimation With Strategic Data Sources.

Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry

IEEE Trans. Autom. Control., 2020

Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.

Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry

CoRR, 2020

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning.

Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Feedback Linearization for Uncertain Systems via Reinforcement Learning.

Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.

Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics.

Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems.

Eric Mazumdar, Tyler Westenbroek, Michael I. Jordan, S. Shankar Sastry

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Feedback Linearization for Unknown Systems via Reinforcement Learning.

Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin

CoRR, 2019

Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations.

Tyler Westenbroek, Xiaobin Xiong, Aaron D. Ames, S. Shankar Sastry

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems.

Tyler Westenbroek, Humberto González, S. Shankar Sastry

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Statistical estimation with strategic data sources in competitive settings.

Tyler Westenbroek, Roy Dong, Lillian J. Ratliff, S. Shankar Sastry

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Wireless Routing and Control: A Cyber-Physical Case Study.

Bo Li, Yehan Ma, Tyler Westenbroek, Chengjie Wu, Humberto González, Chenyang Lu

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016