I am a PhD student in Cockrell School of Engineering at UT Austin, advised by Prof. Ufuk Topcu and Prof. Sandeep Chinchali.
Prior to joining UT, I earned my Master’s degree in Computer Science at UC Berkeley, advised by Prof. Pieter Abbeel; and my Bachelor’s degrees in Computer Science and Applied Mathematics.
My research interests include Artificial Intelligence, Robotics, and Computer Vision. I aim to build intelligent robot systems that are able to reason about the physical world and assist humans in complex real-life environments.
Email: ruihan (dot) zhao [at] utexas (dot) edu
[GitHub][CV][LinkedIn][Google Scholar]
News
- Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Exploration (LaNE) is accepted to CoRL 2024.
Research
Albert Zhan*, Ruihan Zhao*, Lerrel Pinto, Pieter Abbeel, Michael Laskin
A Framework for Efficient Robotic Manipulation (FERM)
Published at IROS 2022 [Project]
Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Efficient Empowerment Estimation for Unsupervised Stabilization
Published at ICLR 2021 [Project Page] [Paper] [Code]
Ruihan Zhao, Stas Tiomkin, Pieter Abbeel
Learning Efficient Representation for Intrinsic Motivation
Published at NeurIPS 2019 Deep RL Workshop [Paper]
Education
2021.8 – Now
University of Texas at Austin
Ph.D. in ECE
2016.8 – 2021.5
University of California, Berkeley
M.S. in Computer Science
B.A. in Computer Science & Applied Mathematics
Experience
- 2021.8 – Now, Research Assistant
Advisors: Prof. Ufuk Topcu, Prof. Sandeep Chinchali - 2021.5 – 2021.8, Deep Reinforcement Learning Intern, Intel Labs
Advisor: Dr. Mariano Phielipp - 2019.1 – 2021.5, Research Assistant, Berkeley AI Research (BAIR)
Advisor: Prof. Pieter Abbeel - 2018.8 – 2018.12, Research Assistant, Undergraduate Research Apprentice Program (URAP)
Advisor: Prof. Gerald Friedland
