Zifan Xu

UTCS | Texas Robotic | zfxu@utexas.edu

2317 Speedway

Austin, TX 78712

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!

Selected publications

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