Scholar
Tyler Han
Google Scholar ID: W-wk8X0AAAAJ
Graduate Student, University of Washington
Citations & Impact
Citations
48
H-index
3
i10-index
1
Publications
9
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Transferable Reinforcement Learning via Generalized Occupancy Models' accepted to NeurIPS 2024; 'Model Predictive Adversarial Imitation Learning for Planning from Observation' was a Best Paper Finalist at the Resource-Rational Robot Learning Workshop at CoRL 2025; 'Model Predictive Control for Aggressive Driving Over Uneven Terrain' accepted to R:SS 2024. Also awarded the National Science Foundation Graduate Research Fellowship (NSF GRFP).
Research Experience
- Involved in multiple research projects such as Model Predictive Adversarial Imitation Learning for Planning from Observation. Has given talks at various academic conferences and served as a reviewer for several conferences.
Education
- Prior to UW, he completed his B.S. in Aerospace Engineering and B.S. in Computer Science at the University of Maryland, College Park. During his undergrad, he worked with Glen Henshaw and Patrick Wensing while at the Naval Research Laboratory in Washington, D.C.
Background
- Currently a PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is part of the Robot Learning Lab, advised by Byron Boots. He is also an NSF Graduate Research Fellow.
Miscellany
- Hosted by LycheeAI to answer community questions about Wheeled Lab; also hosted by The Robotics Club in a follow-up interview about his experience as a PhD student.
