Tyler Westenbroek

Joined

June 2020

Names

Tyler Westenbroek (Preferred)

Emails

****@berkeley.edu (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

University of California Berkeley (berkeley.edu)

2016 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Emergent Dexterity Via Diverse Resets and Large-Scale Reinforcement Learning
Patrick Yin, Tyler Westenbroek, Zhengyu Zhang, Joshua Tran, Ignacio Dagnino, Eeshani Shilamkar, Numfor Mbiziwo-Tiapo, Simran Bagaria, Xinlei Liu, Galen Mullins, Andrey Kolobov, Abhishek Gupta
- ICRA 2026 Workshop SDRL
- Readers: Everyone
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil
- ICLR 2026 Workshop World Models
- Readers: Everyone
RFS: Reinforcement learning with Residual flow steering for dexterous manipulation
Entong Su, Tyler Westenbroek, Anusha Nagabandi, Abhishek Gupta
- ICLR 2026 Poster
- Readers: Everyone
Emergent Dexterity Via Diverse Resets and Large-Scale Reinforcement Learning
Patrick Yin, Tyler Westenbroek, Zhengyu Zhang, Ignacio Dagnino, Eeshani Shilamkar, Numfor Mbiziwo-Tiapo, Simran Bagaria, Xinlei Liu, Galen Mullins, Andrey Kolobov, Abhishek Gupta
- ICLR 2026 Poster
- Readers: Everyone
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
Patrick Yin, Tyler Westenbroek, Simran Bagaria, Kevin Huang, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta
- CoRL 2024 Workshop MRM-D Poster
- Readers: Everyone
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 Poster
- Readers: Everyone
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
Jacob Levy, Tyler Westenbroek, David Fridovich-Keil
- CoRL 2024
- Readers: Everyone
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization
Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
- ICML 2023 Poster
- Readers: Everyone
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Tyler Westenbroek, Fernando Castaneda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath
- Published: 10 Sept 2022, Last Modified: 05 May 2023
- CoRL 2022 Poster
- Readers: Everyone

View all 12 publications

Co-Authors

View all 28 co-authors