International Conference on Learning Representations · 2023
Cited
385
Resume (English only)
Academic Achievements
Multiple papers accepted at ICLR 2022, NeurIPS 2021 Deep RL workshop, EMNLP 2021, NeurIPS 2021, and NeurIPS 2019.
Research Experience
Research areas include data-driven planning, representation learning for RL, and better exploration criteria.
Education
PhD student, EECS Department, UC Berkeley; Advisor: Prof. Joseph E. Gonzalez; Collaborated closely with Prof. Sergey Levine, Prof. Jiantao Jiao, Dr. Yuandong Tian from Meta Research, and Dr. Bo Dai from Google Brain.
Background
Research Interests: Designing better RL algorithms and their application to robotics. Affiliated with BAIR lab and RISE lab.
Miscellany
Actively looking for students to help with research projects during the semester and over the summer.