基本信息
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个人简介
I am broadly interested in theoretical aspects of machine/statistical learning and optimization, with emphasis on fundamental questions well motivated by real applications. I am particularly interested in real-world challenges in reinforcement learning: in particular, partial observation issues. My current effort is put on investigating the fundamental complexities of learning within such environments, as well as seeking for practical algorithms to resolve real-world challenges. I also work on optimization theory, with a focus on developing first-order algorithms for Bilevel optimization, and their applications to reinforcement learning.
研究兴趣
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ICLR 2024 (2023)
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