Junzhe Zhang is an Assistant Professor at Syracuse Universitys Department of Electrical Engineering and Computer Science, holding a Ph. D. from Columbia University. His research focuses on causal inference and reinforcement learning, with an emphasis on developing robust, efficient, and fair decision-making systems.
There is no publicly available information about his personal life or interests outside of his academic and professional work.
His recent research on "Confounding Robust Deep Reinforcement Learning" was accepted at NeurIPS, a top-tier conference in artificial intelligence.
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