Westenbroek, Tyler

7 publications

L4DC 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Koprulu, Po-Han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu

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

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

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

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

CoRL 2022 Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning Tyler Westenbroek, Fernando Castaneda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath

L4DC 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire Tomlin, Koushil Sreenath