Wireless Routing and Control: A Cyber-Physical Case Study. - Bo Li 020; Yehan Ma; Tyler Westenbroek; Chengjie Wu; Humberto González; Chenyang Lu 001 (ICCPS, 2016)

Statistical estimation with strategic data sources in competitive settings. - Tyler Westenbroek; Roy Dong; Lillian J. Ratliff; S. Shankar Sastry (CDC, 2017)

A New Solution Concept and Family of Relaxations for Hybrid Dynamical Systems. - Tyler Westenbroek; Humberto González; S. Shankar Sastry (CDC, 2018)

Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations. - Tyler Westenbroek; Xiaobin Xiong; Aaron D. Ames; S. Shankar Sastry (CDC, 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)

High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems. - Eric Mazumdar; Tyler Westenbroek; Michael I. Jordan; S. Shankar Sastry (CDC, 2020)

Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. - Tyler Westenbroek; Fernando Castañeda; Ayush Agrawal; S. Shankar Sastry; Koushil Sreenath (CDC, 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 (CDC, 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 (ICRA, 2020)

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. - Fernando Castañeda; Mathias Wulfman; Ayush Agrawal; Tyler Westenbroek; Shankar Sastry 001; Claire J. Tomlin; Koushil Sreenath (L4DC, 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)

Competitive Statistical Estimation With Strategic Data Sources. - Tyler Westenbroek; Roy Dong; Lillian J. Ratliff; S. Shankar Sastry (IEEE Trans. Autom. Control., 2020)

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 (ADHS, 2021)

Smooth Approximations for Hybrid Optimal Control Problems with Application to Robotic Walking. - Tyler Westenbroek; Xiaobin Xiong; S. Shankar Sastry; Aaron D. Ames (ADHS, 2021)

On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective. - Tyler Westenbroek; Max Simchowitz; Michael I. Jordan; S. Shankar Sastry (CDC, 2021)

On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. - Tyler Westenbroek; Anand Siththaranjan; Mohsin Sarwari; Claire J. Tomlin; S. Shankar Sastry (CDC, 2022)

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. - Tyler Westenbroek; Fernando Castañeda; Ayush Agrawal; Shankar Sastry 001; Koushil Sreenath (CoRL, 2022)

Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. - Tyler Westenbroek; Jacob Levy; David Fridovich-Keil (CoRL, 2023)

The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. - Daniel Pfrommer; Max Simchowitz; Tyler Westenbroek; Nikolai Matni; Stephen Tu (ICML, 2023)

Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models. - Tyler Westenbroek; Jacob Levy; David Fridovich-Keil (CoRR, 2023)

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models. - Jacob Levy; Tyler Westenbroek; David Fridovich-Keil (CoRL, 2024)

Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning. - Patrick Yin; Tyler Westenbroek; Ching-An Cheng; Andrey Kolobov; Abhishek Gupta (ICLR, 2025)

Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Cevahir Köprülü; Po-han Li; Tianyu Qiu; Ruihan Zhao 001; Tyler Westenbroek; David Fridovich-Keil; Sandeep Chinchali; Ufuk Topcu (L4DC, 2025)

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning. - Patrick Yin; Tyler Westenbroek; Simran Bagaria; Kevin Huang; Ching-an Cheng; Andrey Kobolov; Abhishek Gupta (CoRR, 2025)