About me

I am a first year PhD student at Mila and Polytechnique Montréal, supervised by Prof. Sarath Chandar. I completed my MSc program at the University of Alberta, where I was supervised by Prof. Adam White. Previously I was a research intern at Deepmind Montréal mentored by Daniel Toyama.

My research interests mainly focus on reinforcement learning (RL) and its applications. I am currently working on RL in the continual learning and multiagent learning settings. I previously worked on AndroidEnv, an open-source platform for RL research.

Publications

  • An Empirical Study of Model-Free Exploration for Deep Reinforcement Learning
    MSc thesis. [link]
    Parts of this thesis are to be submitted as a journal paper.

  • No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
    Han Wang, Archit Sakhadeo, Adam M White, Xutong Zhao, James M Bell, Puer Liu, Nathan Taylor, Alona Fyshe, Martha White. [link]

Teaching

  • CMPUT 397, Reinforcement learning, Fall 2019 and Winter 2020
  • CMPUT 175, Introduction to the Foundations of Computation II, Summer 2018