Zekang Wang

I am a first-year PhD student in Computer Science at the University of Macau, advised by Gaojie Jin and Steven Morad.

In my earlier work, I studied the challenges that Deep Reinforcement Learning (Deep RL) faces in partially observable environments and developed methods to address them. I then explored other approaches that could help bring RL into the real world. Today, I am especially interested in how deep RL can scale and generalize to complex real-world settings, with the goal of building agents that remain reliable and robust in new situations. If you are interested in my work, feel free to contact me by email.