Weizhe Chen

Weizhe is a third-year Ph.D. student in the computer science department at the University of Southern California (USC), advised by Prof. Sven Koenig and Prof. Bistra Dilkina. His research lies in the intersection of machine learning and optimization, more specifically, machine learning for multi-agent path finding and using optimization techniques in multi-agent reinforcement learning, together with their application in computational sustainability. Before USC, he got his bachelor’s from ACM honor class at Shanghai Jiao Tong University.

The full list of publications can be found here, and also on Google Scholar.