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I am a PhD student affiliated with NYU Center for Cybersecurity(NYU-CCS) and Laboratory for Agile and Resilient Complex Systems(LARX). Together with my supervisor Prof. Quanyan Zhu, I am focusing on applied mathematics and engineering sciences.

Notice: My new hompage is here. The maintenance of the current page is indefinitely suspended.

 

2020.11: I will give a talk on multi-agent correlated learning in 2020 Informs Annual meeting. The Slides and the paper will  be updated after the talk.

2019.09: A paper on Multiscale value function approximation has been selected as a finalist for MLSP 2019 student paper award.

 


Xiamen University, 2018

Bachelor of Science in Mathematics and Applied Mathematics


University of Alberta

June 2017-Sept 2017

Research Assistant 

Research topic: directional compact supported box spline

Publication: Bin Han, Tao Li, Xiaosheng Zhuang, Directional compactly supported box spline tight framelets with simple geometric structure, Applied Mathematics Letters, Volume 91, 2019, pp 213-219


Game Theory

  • Multi-agent Learning

Reinforcement Learning

  • Multiscale Approximation: Adaptive representation learning in reinforcement learning

 


A full list of publication can be found on my google scholar
  • T. Li and Q. Zhu, "On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning," 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), Pittsburgh, PA, USA, 2019, pp. 1-6.[pdf]
  • B. Han, T. Li, and X. Zhuang. "Directional compactly supported box spline tight framelets with simple geometric structure." Applied Mathematics Letters 91 (2019): 213-219.[pdf]

Research Centers, Labs, and Groups