Tianwei (Victor) Ni
I am a PhD student in Université de Montréal & Mila - Quebec AI Institute, advised by Pierre-Luc Bacon.
My research interests are reinforcement learning, or in a broad sense, the intersection of machine learning and control.
I aim to understand the principles and connect the dots, design and implement practical algorithms,
to solve important problems in this interdisciplinary field.
Prior to moving to Canada, I grew up and studied in China and USA.
I obtained my Bachelor's degree in Computer Science at Peking University,
and Master's degree in Machine Learning at Carnegie Mellon University.
Over the past few years, I was fortunate to collaborate with
Jordi Salvador and Luca Weihs at AI2 on embodied AI,
Ben Eysenbach and Russ Salakhutdinov at CMU on reinforcement learning,
Katia Sycara at CMU on human-agent teaming,
Lingxi Xie and Alan Yuille at JHU on medical image analysis.
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