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!
APPLR: Adaptive Planner Parameter Learning from ReinforcementIn Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021) 2021
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter LearningIn Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2021) 2021
A Scavenger Hunt for Service RobotsIn Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021) 2021