Zifan Xu

LARG | UTCS | Texas Robotic | zfxu [at] utexas.edu

I am a first year Ph.D. student of Computer Science at University of Texas at Austin. I am very honored to be advised by Prof. Peter Stone. I have general interests in reinforcement learning, lifelong learning, curriculum learning, and their applicaitons in robotic. My primiary focus is to apply deep reinforcement learning for mobile robot autonomous navigation.

Before I started the CS program, I recieved master’s and bachelor’s degrees in Physics, but was lucky to find my passion in artificial intellegence. Feel free to reach out to me if you are curious about my experience and research!

Contact: Email / Github / Google Scholar / Twitter / CV

Publications

Preprint

  1. APPL: Adaptive Planner Parameter Learning
    Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, and Peter Stone

Conference

  1. APPLR: Adaptive Planner Parameter Learning from Reinforcement
    Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, and Peter Stone
    In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021),
  2. Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning
    Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, and Peter Stone
    In Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2021),
  3. A Scavenger Hunt for Service Robots
    Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone
    In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021),