Doctoral student (Ph.D.), EECS Department, UC Berkeley
Email: tianjunz [at] berkeley [dot] edu
I am a fourth-year PhD student in EECS Deparment, UC Berkeley affilicated with the BAIR lab and the RISE lab. I am advised by Prof. Joseph E. Gonzalez. My research interests generally lie in designing better RL algorithms and their application to robotics.
At Berkeley, I am fortunate to work closely with Prof. Sergey Levine and Prof. Jiantao Jiao. I also collaborated closely with Dr. Yuandong Tian from Meta Research and Dr. Bo Dai from Google Brain.
My research has focused on designing better RL algorithms to solve real-world challenges. To be specific, I am working on the following areas:
- Data-driven planning: Lap3, C-Planning
- Representation Learning for RL: SPEDE 
- Better Exploration Criterion: BeBold , MADE
Research opportunities: I am actively looking for students to help with research projects both during the semester and over the summer. If you are interested, please send me an email.
One paper were accepted to NeurIPS 2019: ANODEV2: A Coupled Neural ODE Evolution Framework.
See Google Scholar for a complete and up-to-date list of publications.
© 2022 Tianjun Zhang