My CV

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Research Experience

Zero-Order Optimization

7.2022 -- 7.2023

Research Intern, supervised by Prof. Yinyu Ye

• Lead a group of three to develop a derivative-free solver for nonlinear constrained optimization in ANSI C. Code available here
• Use the technique of implicit filtering to increase robustness of algorithm under noises.
• Combine coordinate search to increase efficiency.

Equilibrium Learning in Offline Markov Game

1.2021 – 6.2021

Research Intern, supervised by Prof. Zhuoran Yang and Prof. Zhaoran Wang

• Propose the notion of Relative Uncertainty to measure the quality of dataset for offline two-player zero-sum game.
• Analyze the convergence rate of the proposed algorithm PMVI.
• Give a lower bound of the convergence rate by constructing a special game.
• Give a counterexample to illustrate the difference between Markov Decision Process and Markov Game.