I am a senior at The Hong Kong Polytechnic University interested in pursuing a research career in robotic decision making and artificial intelligence. I’m currently interested in working on Reinforcement Learning (RL) and Meta RL with a goal of improving the capability of intelligent agents to efficiently learn generalizable, task adaptive, optimal, and safe behavior policies in uncertain surroundings.

Currently, I am doing research on behavior planning for autonomous vehicles using multi-agent RL under guidance of Dr. Edward Chung at The Hong Kong Polytechnic University. Previously, I have also collaborated with Dr. John Dolan and Dr. Sebastian Scherer from The Robotics Institute, Carnegie Mellon University. I had the opportunity to work on several projects relating to hierarchical reinforcement learning, trajectory planning, informative planning using optimization, and intrusion detection.

Recent News

• [October 2021] Our Paper Informative and Fast Exploration Planning Using UAV for Reconnaissance Operations published in Robotics Institute Summer Scholars Working Papers Journal 2021
• [September 2021] Our Paper Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning published in IEEE Intelligent Transportation Systems Conference (ITSC)
• [June 2021] I started working at AirLab, CMU as Robotics Institute Summer Scholar (RISS)
• [May 2021] I was awarded Undergraduate Summer Research Abroad Sponsorship (USRA) to participate in Robotics Institute Summer Scholars Programme at Robotics Institute, Carnegie Mellon University
• [April 2021] Founded Reinforcement Learning Reading Group (RLRG) at The Hong Kong Polytechnic University