Ethan Che

PhD Student, Columbia Business School
Decision, Risk, and Operations

I am a PhD student at Columbia Business School in the Decision, Risk, and Operations division. I am advised by Jing Dong and Hongseok Namkoong.

My research is on scalable planning and policy optimization for operations research problems. I'm interested in developing differentiable and sample-based models for these problems, which enable the application of sample-efficient methods from reinforcement learning (RL), approximate dynamic programming (ADP), and optimal control.

In particular, I am interested in the applications in adaptive experimentation, policy learning, and routing control in queuing systems and discrete-event systems. I've also done research in mechanism design.

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